JP6604385B2 - Imaging device - Google Patents

Description

The present invention relates to an imaging device.

  There has been known an imaging apparatus equipped with an imaging element capable of setting different imaging conditions for each area of the screen (see Patent Document 1). However, when using image data generated in areas with different imaging conditions, there is a problem in that it cannot be performed in the same manner as when using image data generated in an area with the same imaging conditions.

Japanese Unexamined Patent Publication No. 2006-197192

An imaging apparatus according to a first aspect of the present invention includes an imaging device having a first imaging area for imaging a subject and a second imaging area for imaging the subject, and sets a first imaging condition in the first imaging area. The setting unit is configured to set a second imaging condition in the second imaging area, a pixel included in the first imaging area, and a pixel included in the second imaging area. Based on the imaging conditions of the second imaging region, a selection unit that selects at least some of the pixels to be selected to be used for interpolation of the pixels included in the first imaging region, and is selected by the selection unit A detection unit that detects a subject imaged in the first imaging region using a signal interpolated by a signal output from the pixel.
An imaging apparatus according to a second aspect of the present invention has an imaging device having a first imaging area for imaging a subject and a second imaging area for imaging the subject, and sets a first imaging condition in the first imaging area. Then, the imaging of the second imaging area is selected from the setting unit that sets the second imaging condition in the second imaging area, the pixels included in the first imaging area, and the pixels included in the second imaging area. A selection unit that selects a pixel to be used for interpolation of a pixel included in the first imaging region based on a condition; and a signal interpolated by a signal output from the pixel selected by the selection unit, A detection unit that detects a subject imaged in the first imaging region.

It is a block diagram which illustrates the composition of the camera by a 1st embodiment. It is sectional drawing of a laminated type image pick-up element. It is a figure explaining the pixel arrangement | sequence and unit area | region of an imaging chip. It is a figure explaining the circuit in a unit area. It is a figure which shows typically the image of the to-be-photographed object imaged on the image pick-up element of a camera. It is a figure which illustrates the setting screen of imaging conditions. FIG. 7A is a diagram illustrating the vicinity of the boundary of the first region in the live view image, FIG. 7B is an enlarged view of the vicinity of the boundary, and FIG. 7C is an enlarged view of the target pixel and the reference pixel. . FIG. 7D is an enlarged view of the target pixel and the reference pixel in the second embodiment. 8A is a diagram illustrating the arrangement of photoelectric conversion signals output from the pixels, FIG. 8B is a diagram illustrating interpolation of image data of the G color component, and FIG. 8C is a diagram illustrating G after interpolation. It is a figure which illustrates the image data of a color component. 9A is a diagram obtained by extracting image data of the R color component from FIG. 8A, FIG. 9B is a diagram illustrating interpolation of the color difference component Cr, and FIG. 9C is an image of the color difference component Cr. It is a figure explaining the interpolation of data. 10A is a diagram obtained by extracting B color component image data from FIG. 8A, FIG. 10B is a diagram illustrating interpolation of the color difference component Cb, and FIG. 10C is an image of the color difference component Cb. It is a figure explaining the interpolation of data. It is a figure which illustrates the position of the pixel for focus detection in an imaging surface. It is the figure which expanded the one part area | region of the focus detection pixel line. It is the figure which expanded the focus detection position. FIG. 14A is a diagram illustrating a template image representing an object to be detected, and FIG. 14B is a diagram illustrating a live view image and a search range. It is a flowchart explaining the flow of the process which sets an imaging condition for every area | region and images. FIG. 16A to FIG. 16C are diagrams illustrating the arrangement of the first region and the second region on the imaging surface of the imaging device. And FIG. 20 is a block diagram illustrating a configuration of an imaging system according to Modification 8. It is a figure explaining supply of the program to a mobile device. It is a block diagram which illustrates the composition of the camera by a 3rd embodiment. It is the figure which showed typically the correspondence of each block in 3rd Embodiment, and a some selection part. It is sectional drawing of a laminated type image pick-up element. It is the figure which represented typically about the process with 1st image data and 2nd image data concerning an image process. It is the figure which represented typically about the process of 1st image data and 2nd image data which concerns on a focus detection process. It is the figure which represented typically about the process of 1st image data and 2nd image data regarding a to-be-photographed object detection process. It is the figure which represented typically about the process of 1st image data and 2nd image data concerning the setting of imaging conditions, such as exposure calculation processing. It is the figure which represented typically about the process with the 1st image data by the modification 10, and 2nd image data. It is the figure which represented typically about the process with the 1st image data by the modification 10, and 2nd image data. It is the figure which represented typically about the process with the 1st image data by the modification 10, and 2nd image data. It is the figure which represented typically about the process with the 1st image data by the modification 10, and 2nd image data.

  A digital camera will be described as an example of an electronic device on which the image processing apparatus according to this embodiment is mounted. The camera 1 (FIG. 1) is configured to be able to capture images under different conditions for each region of the imaging surface of the image sensor 32a. The image processing unit 33 performs appropriate processing in areas with different imaging conditions. Details of the camera 1 will be described with reference to the drawings.

<Explanation of camera>
(First embodiment)
FIG. 1 is a block diagram illustrating the configuration of the camera 1 according to the first embodiment. In FIG. 1, the camera 1 includes an imaging optical system 31, an imaging unit 32, an image processing unit 33, a control unit 34, a display unit 35, an operation member 36, and a recording unit 37.

  The imaging optical system 31 guides the light beam from the object scene to the imaging unit 32. The imaging unit 32 includes an imaging element 32a and a driving unit 32b, and photoelectrically converts an object image formed by the imaging optical system 31. The imaging unit 32 can capture images under the same conditions over the entire imaging surface of the imaging device 32a, or can perform imaging under different conditions for each region of the imaging surface of the imaging device 32a. Details of the imaging unit 32 will be described later. The drive unit 32b generates a drive signal necessary for causing the image sensor 32a to perform accumulation control. An imaging instruction such as a charge accumulation time for the imaging unit 32 is transmitted from the control unit 34 to the driving unit 32b.

  The image processing unit 33 includes an input unit 33a, a selection unit 33b, and a generation unit 33c. Image data acquired by the imaging unit 32 is input to the input unit 33a. The selection unit 33b performs preprocessing on the input image data. Details of the preprocessing will be described later. The generation unit 33c generates an image based on the input image data and the preprocessed image data. The generation unit 33c performs image processing on the image data. Image processing includes, for example, color interpolation processing, pixel defect correction processing, contour enhancement processing, noise reduction processing, white balance adjustment processing, gamma correction processing, display luminance adjustment processing, saturation adjustment processing, and the like. . Further, the generation unit 33 c generates an image to be displayed by the display unit 35.

  The control unit 34 is configured by a CPU, for example, and controls the overall operation of the camera 1. For example, the control unit 34 performs a predetermined exposure calculation based on the photoelectric conversion signal acquired by the imaging unit 32, the charge accumulation time (exposure time) of the imaging element 32a necessary for proper exposure, and the aperture of the imaging optical system 31. The exposure conditions such as the value and ISO sensitivity are determined and instructed to the drive unit 32b. In addition, image processing conditions for adjusting saturation, contrast, sharpness, and the like are determined and instructed to the image processing unit 33 according to the imaging scene mode set in the camera 1 and the type of the detected subject element. The detection of the subject element will be described later.

  The control unit 34 includes an object detection unit 34a, a setting unit 34b, an imaging control unit 34c, and an AF calculation unit 34d. These are realized as software by the control unit 34 executing a program stored in a nonvolatile memory (not shown). However, these may be configured by an ASIC or the like.

  The object detection unit 34a performs a known object recognition process, and from the image acquired by the imaging unit 32, a person (person's face), an animal such as a dog or a cat (animal face), a plant, a bicycle, an automobile , Detecting a subject element such as a vehicle such as a train, a building, a stationary object, a landscape such as a mountain or a cloud, or a predetermined specific object. The setting unit 34b divides the imaging screen by the imaging unit 32 into a plurality of regions including the subject element detected as described above.

  The setting unit 34b further sets imaging conditions for a plurality of areas. Imaging conditions include the exposure conditions (charge accumulation time, gain, ISO sensitivity, frame rate, etc.) and the image processing conditions (for example, white balance adjustment parameters, gamma correction curves, display brightness adjustment parameters, saturation adjustment parameters, etc.) ). As the imaging conditions, the same imaging conditions can be set for all of the plurality of areas, or different imaging conditions can be set for the plurality of areas.

  The imaging control unit 34c controls the imaging unit 32 (imaging element 32a) and the image processing unit 33 by applying the imaging conditions set for each region by the setting unit 34b. Thereby, it is possible to cause the imaging unit 32 to perform imaging under different exposure conditions for each of the plurality of regions, and for the image processing unit 33, images with different image processing conditions for each of the plurality of regions. Processing can be performed. Any number of pixels may be included in the region, for example, 1000 pixels or 1 pixel. Further, the number of pixels may be different between regions.

  The AF calculation unit 34d controls an automatic focus adjustment (autofocus: AF) operation for focusing on a corresponding subject at a predetermined position (referred to as a focus detection position or focus detection position) on the imaging screen. The AF calculation unit 34d sends a drive signal for moving the focus lens of the imaging optical system 31 to the in-focus position based on the calculation result to the drive unit 32b. The process performed by the AF calculation unit 34d for automatic focus adjustment is also referred to as a focus detection process. Details of the focus detection process will be described later.

  The display unit 35 reproduces and displays the image generated by the image processing unit 33, the image processed image, the image read by the recording unit 37, and the like. The display unit 35 also displays an operation menu screen, a setting screen for setting imaging conditions, and the like.

  The operation member 36 includes various operation members such as a release button and a menu button. The operation member 36 sends an operation signal corresponding to each operation to the control unit 34. The operation member 36 includes a touch operation member provided on the display surface of the display unit 35.

  In response to an instruction from the control unit 34, the recording unit 37 records image data or the like on a recording medium including a memory card (not shown). The recording unit 37 reads image data recorded on the recording medium in response to an instruction from the control unit 34.

<Description of Laminated Image Sensor>
A laminated image sensor 100 will be described as an example of the image sensor 32a described above. FIG. 2 is a cross-sectional view of the image sensor 100. The imaging element 100 includes an imaging chip 111, a signal processing chip 112, and a memory chip 113. The imaging chip 111 is stacked on the signal processing chip 112. The signal processing chip 112 is stacked on the memory chip 113. The imaging chip 111, the signal processing chip 112, the signal processing chip 112, and the memory chip 113 are electrically connected by a connection unit 109. The connection unit 109 is, for example, a bump or an electrode. The imaging chip 111 captures a light image from a subject and generates image data. The imaging chip 111 outputs image data from the imaging chip 111 to the signal processing chip 112. The signal processing chip 112 performs signal processing on the image data output from the imaging chip 111. The memory chip 113 has a plurality of memories and stores image data. Note that the image sensor 100 may include an image pickup chip and a signal processing chip. When the imaging device 100 is configured by an imaging chip and a signal processing chip, a storage unit for storing image data may be provided in the signal processing chip or may be provided separately from the imaging device 100. .

  As shown in FIG. 2, the incident light is incident mainly in the positive direction of the Z-axis indicated by a white arrow. Further, as shown in the coordinate axes, the left direction of the paper orthogonal to the Z axis is the X axis plus direction, and the front side of the paper orthogonal to the Z axis and the X axis is the Y axis plus direction. In the following several figures, the coordinate axes are displayed so that the orientation of each figure can be understood with reference to the coordinate axes in FIG.

  The imaging chip 111 is a CMOS image sensor, for example. Specifically, the imaging chip 111 is a backside illumination type CMOS image sensor. The imaging chip 111 includes a microlens layer 101, a color filter layer 102, a passivation layer 103, a semiconductor layer 106, and a wiring layer 108. The imaging chip 111 is arranged in the order of the microlens layer 101, the color filter layer 102, the passivation layer 103, the semiconductor layer 106, and the wiring layer 108 in the positive Z-axis direction.

  The microlens layer 101 has a plurality of microlenses L. The microlens L condenses incident light on the photoelectric conversion unit 104 described later. The color filter layer 102 includes a plurality of color filters F. The color filter layer 102 has a plurality of types of color filters F having different spectral characteristics. Specifically, the color filter layer 102 includes a first filter (R) having a spectral characteristic that mainly transmits red component light and a second filter (Gb, Gr) that has a spectral characteristic that mainly transmits green component light. ) And a third filter (B) having a spectral characteristic that mainly transmits blue component light. In the color filter layer 102, for example, a first filter, a second filter, and a third filter are arranged in a Bayer arrangement. The passivation layer 103 is made of a nitride film or an oxide film, and protects the semiconductor layer 106.

  The semiconductor layer 106 includes a photoelectric conversion unit 104 and a readout circuit 105. The semiconductor layer 106 includes a plurality of photoelectric conversion units 104 between a first surface 106a that is a light incident surface and a second surface 106b opposite to the first surface 106a. The semiconductor layer 106 includes a plurality of photoelectric conversion units 104 arranged in the X-axis direction and the Y-axis direction. The photoelectric conversion unit 104 has a photoelectric conversion function of converting light into electric charge. In addition, the photoelectric conversion unit 104 accumulates charges based on the photoelectric conversion signal. The photoelectric conversion unit 104 is, for example, a photodiode. The semiconductor layer 106 includes a readout circuit 105 on the second surface 106b side of the photoelectric conversion unit 104. In the semiconductor layer 106, a plurality of readout circuits 105 are arranged in the X-axis direction and the Y-axis direction. The readout circuit 105 includes a plurality of transistors, reads out image data generated by the electric charges photoelectrically converted by the photoelectric conversion unit 104, and outputs the image data to the wiring layer 108.

  The wiring layer 108 has a plurality of metal layers. The metal layer is, for example, an Al wiring, a Cu wiring, or the like. The wiring layer 108 outputs the image data read by the reading circuit 105. The image data is output from the wiring layer 108 to the signal processing chip 112 via the connection unit 109.

  Note that the connection unit 109 may be provided for each photoelectric conversion unit 104. Further, the connection unit 109 may be provided for each of the plurality of photoelectric conversion units 104. When the connection unit 109 is provided for each of the plurality of photoelectric conversion units 104, the pitch of the connection units 109 may be larger than the pitch of the photoelectric conversion units 104. In addition, the connection unit 109 may be provided in a peripheral region of the region where the photoelectric conversion unit 104 is disposed.

  The signal processing chip 112 has a plurality of signal processing circuits. The signal processing circuit performs signal processing on the image data output from the imaging chip 111. The signal processing circuit includes, for example, an amplifier circuit that amplifies the signal value of the image data, a correlated double sampling circuit that performs noise reduction processing of the image data, and analog / digital (A / D) conversion that converts the analog signal into a digital signal. Circuit etc. A signal processing circuit may be provided for each photoelectric conversion unit 104.

  In addition, the signal processing circuit may be provided for each of the plurality of photoelectric conversion units 104. The signal processing chip 112 has a plurality of through electrodes 110. The through electrode 110 is, for example, a silicon through electrode. The through electrode 110 connects circuits provided in the signal processing chip 112 to each other. The through electrode 110 may also be provided in the peripheral region of the imaging chip 111 and the memory chip 113. Note that some elements constituting the signal processing circuit may be provided in the imaging chip 111. For example, in the case of an analog / digital conversion circuit, a comparator that compares an input voltage with a reference voltage may be provided in the imaging chip 111, and circuits such as a counter circuit and a latch circuit may be provided in the signal processing chip 112.

  The memory chip 113 has a plurality of storage units. The storage unit stores image data that has been subjected to signal processing by the signal processing chip 112. The storage unit is a volatile memory such as a DRAM, for example. A storage unit may be provided for each photoelectric conversion unit 104. In addition, the storage unit may be provided for each of the plurality of photoelectric conversion units 104. The image data stored in the storage unit is output to the subsequent image processing unit.

  FIG. 3 is a diagram for explaining the pixel array and the unit region 131 of the imaging chip 111. In particular, a state where the imaging chip 111 is observed from the back surface (imaging surface) side is shown. For example, 20 million or more pixels are arranged in a matrix in the pixel region. In the example of FIG. 3, four adjacent pixels of 2 pixels × 2 pixels form one unit region 131. The grid lines in the figure indicate the concept that adjacent pixels are grouped to form a unit region 131. The number of pixels forming the unit region 131 is not limited to this, and may be about 1000, for example, 32 pixels × 32 pixels, more or less, or one pixel.

  As shown in the partially enlarged view of the pixel region, the unit region 131 in FIG. 3 includes a so-called Bayer array composed of four pixels of the green pixels Gb and Gr, the blue pixel B, and the red pixel R. The green pixels Gb and Gr are pixels having a green filter as the color filter F, and receive light in the green wavelength band of incident light. Similarly, the blue pixel B is a pixel having a blue filter as the color filter F and receives light in the blue wavelength band, and the red pixel R is a pixel having a red filter as the color filter F and having a red wavelength band. Receives light.

  In the present embodiment, a plurality of blocks are defined so as to include at least one unit region 131 per block. That is, the minimum unit of one block is one unit area 131. As described above, of the possible values for the number of pixels forming one unit region 131, the smallest number of pixels is one pixel. Therefore, when one block is defined in units of pixels, the minimum number of pixels among the number of pixels that can define one block is one pixel. Each block can control pixels included in each block with different control parameters. In each block, all the unit areas 131 in the block, that is, all the pixels in the block are controlled under the same imaging condition. That is, photoelectric conversion signals having different imaging conditions can be acquired between a pixel group included in a certain block and a pixel group included in another block. Examples of the control parameters include a frame rate, a gain, a thinning rate, the number of addition rows or addition columns to which photoelectric conversion signals are added, a charge accumulation time or accumulation count, a digitization bit number (word length), and the like. The imaging device 100 can freely perform not only thinning in the row direction (X-axis direction of the imaging chip 111) but also thinning in the column direction (Y-axis direction of the imaging chip 111). Furthermore, the control parameter may be a parameter in image processing.

  FIG. 4 is a diagram for explaining a circuit in the unit region 131. In the example of FIG. 4, one unit region 131 is formed by four adjacent pixels of 2 pixels × 2 pixels. As described above, the number of pixels included in the unit region 131 is not limited to this, and may be 1000 pixels or more, or may be a minimum of 1 pixel. The two-dimensional position of the unit region 131 is indicated by reference signs A to D.

  The reset transistor (RST) of the pixel included in the unit region 131 is configured to be turned on / off individually for each pixel. In FIG. 4, a reset wiring 300 for turning on / off the reset transistor of the pixel A is provided, and a reset wiring 310 for turning on / off the reset transistor of the pixel B is provided separately from the reset wiring 300. Similarly, a reset line 320 for turning on and off the reset transistor of the pixel C is provided separately from the reset lines 300 and 310. A dedicated reset wiring 330 for turning on and off the reset transistor is also provided for the other pixels D.

  The pixel transfer transistor (TX) included in the unit region 131 is also configured to be turned on and off individually for each pixel. In FIG. 4, a transfer wiring 302 for turning on / off the transfer transistor of the pixel A, a transfer wiring 312 for turning on / off the transfer transistor of the pixel B, and a transfer wiring 322 for turning on / off the transfer transistor of the pixel C are separately provided. Also for the other pixels D, a dedicated transfer wiring 332 for turning on / off the transfer transistor is provided.

  Further, the pixel selection transistor (SEL) included in the unit region 131 is also configured to be turned on and off individually for each pixel. In FIG. 4, a selection wiring 306 for turning on / off the selection transistor of the pixel A, a selection wiring 316 for turning on / off the selection transistor of the pixel B, and a selection wiring 326 for turning on / off the selection transistor of the pixel C are separately provided. Also for the other pixels D, a dedicated selection wiring 336 for turning on and off the selection transistor is provided.

  The power supply wiring 304 is commonly connected to the pixels A to D included in the unit region 131. Similarly, the output wiring 308 is commonly connected to the pixel D from the pixel A included in the unit region 131. Further, the power supply wiring 304 is commonly connected between a plurality of unit regions, but the output wiring 308 is provided for each unit region 131 individually. The load current source 309 supplies current to the output wiring 308. The load current source 309 may be provided on the imaging chip 111 side or may be provided on the signal processing chip 112 side.

  By individually turning on and off the reset transistor and the transfer transistor in the unit region 131, the charge accumulation including the charge accumulation start time, the accumulation end time, and the transfer timing is controlled from the pixel A to the pixel D included in the unit region 131. can do. In addition, by individually turning on and off the selection transistors in the unit region 131, the photoelectric conversion signals of the pixels A to D can be output via the common output wiring 308.

  Here, a so-called rolling shutter system is known in which charge accumulation is controlled in a regular order with respect to rows and columns for pixels A to D included in the unit region 131. When a column is designated after selecting a pixel for each row by the rolling shutter method, photoelectric conversion signals are output in the order of “ABCD” in the example of FIG.

  Thus, by configuring the circuit with the unit region 131 as a reference, the charge accumulation time can be controlled for each unit region 131. In other words, it is possible to output photoelectric conversion signals at different frame rates between the unit regions 131. Further, in the imaging chip 111, the unit area 131 included in another block is rested while the unit area 131 included in a part of the block is charged (imaged), so that a predetermined block of the imaging chip 111 can be used. Only the imaging can be performed, and the photoelectric conversion signal can be output. Furthermore, it is also possible to switch a block (accumulation control target block) where charge accumulation (imaging) is performed between frames, sequentially perform imaging with different blocks of the imaging chip 111, and output a photoelectric conversion signal.

  As described above, the output wiring 308 is provided corresponding to each of the unit regions 131. Since the image pickup device 100 includes the image pickup chip 111, the signal processing chip 112, and the memory chip 113, each chip is arranged in the surface direction by using the electrical connection between the chips using the connection portion 109 for the output wiring 308. The wiring can be routed without increasing the size.

<Block control of image sensor>
In the present embodiment, the imaging condition can be set for each of a plurality of blocks in the imaging device 32a. The control unit 34 (imaging control unit 34c) associates the plurality of regions with the block and causes the imaging to be performed under an imaging condition set for each region.

  FIG. 5 is a diagram schematically showing an image of a subject formed on the image sensor 32 a of the camera 1. The camera 1 photoelectrically converts the subject image to obtain a live view image before an imaging instruction is given. The live view image refers to a monitor image that is repeatedly imaged at a predetermined frame rate (for example, 60 fps).

  The control unit 34 sets the same imaging condition over the entire area of the imaging chip 111 (that is, the entire imaging screen) before dividing the area by the setting unit 34b. The same imaging condition refers to setting a common imaging condition for the entire imaging screen. For example, even if there is a variation in apex value of less than about 0.3, it is regarded as the same. The imaging conditions set to be the same throughout the imaging chip 111 are determined based on the exposure conditions corresponding to the photometric value of the subject luminance or the exposure conditions manually set by the user.

  In FIG. 5, an image including a person 61a, an automobile 62a, a bag 63a, a mountain 64a, and clouds 65a and 66a is formed on the imaging surface of the imaging chip 111. The person 61a holds the bag 63a with both hands. The automobile 62a stops at the right rear of the person 61a.

<Division of area>
Based on the live view image, the control unit 34 divides the screen of the live view image into a plurality of regions as follows. First, a subject element is detected from the live view image by the object detection unit 34a. The subject element is detected using a known subject recognition technique. In the example of FIG. 5, the object detection unit 34a detects a person 61a, a car 62a, a bag 63a, a mountain 64a, a cloud 65a, and a cloud 66a as subject elements.

  Next, the setting unit 34b divides the live view image screen into regions including the subject elements. In the present embodiment, the region including the person 61a is the region 61, the region including the car 62a is the region 62, the region including the bag 63a is the region 63, the region including the mountain 64a is the region 64, and the cloud 65a is included. The region is described as a region 65, and the region including the cloud 66a is described as a region 66.

<Setting imaging conditions for each block>
When the setting unit 34b divides the screen into a plurality of areas, the control unit 34 causes the display unit 35 to display a setting screen as illustrated in FIG. In FIG. 6, a live view image 60a is displayed, and an imaging condition setting screen 70 is displayed on the right side of the live view image 60a.

  In the setting screen 70, as an example of setting items of imaging conditions, a frame rate, a shutter speed (TV), and a gain (ISO) are listed in order from the top. The frame rate is the number of frames of a live view image acquired per second or a moving image recorded by the camera 1. Gain is ISO sensitivity. The setting items for the imaging conditions may be added as appropriate in addition to those illustrated in FIG. When all the setting items do not fit in the setting screen 70, other setting items may be displayed by scrolling the setting items up and down.

  In the present embodiment, the control unit 34 sets the region selected by the user among the regions divided by the setting unit 34b as a target for setting (changing) the imaging condition. For example, in the camera 1 capable of touch operation, the user taps the display position of the main subject for which the imaging condition is to be set (changed) on the display surface of the display unit 35 on which the live view image 60a is displayed. For example, when the display position of the person 61 a is tapped, the control unit 34 sets the area 61 including the person 61 a in the live view image 60 a as an imaging condition setting (change) target area and emphasizes the outline of the area 61. To display.

In FIG. 6, an area 61 in which the outline is emphasized and displayed (bold display, bright display, display with a different color, display with a broken line, blink display, etc.) indicates an area for which the imaging condition is to be set (changed). . In the example of FIG. 6, it is assumed that a live view image 60a in which the outline of the region 61 is emphasized is displayed. In this case, the region 61 is a target for setting (changing) the imaging condition. For example, in the camera 1 capable of touch operation, when the user taps the shutter speed (TV) display 71, the control unit 34 displays the current shutter speed for the highlighted area (area 61). The set value is displayed on the screen (reference numeral 68).
In the following description, the camera 1 is described on the premise of a touch operation. However, the imaging condition may be set (changed) by operating a button or the like constituting the operation member 36.

  When the upper icon 71a or the lower icon 71b of the shutter speed (TV) is tapped by the user, the setting unit 34b increases or decreases the shutter speed display 68 from the current setting value according to the tap operation. An instruction is sent to the imaging unit 32 (FIG. 1) so as to change the imaging condition of the unit area 131 (FIG. 3) of the imaging element 32a corresponding to the displayed area (area 61) in accordance with the tap operation. The decision icon 72 is an operation icon for confirming the set imaging condition. The setting unit 34b performs the setting (change) of the frame rate and gain (ISO) in the same manner as the setting (change) of the shutter speed (TV).

Although the setting unit 34b has been described as setting the imaging condition based on the user's operation, the setting unit 34b is not limited to this. The setting unit 34b may set the imaging condition based on the determination of the control unit 34 without being based on a user operation. For example, when an overexposure or underexposure occurs in an area including the subject element having the maximum luminance or the minimum luminance in the image, the setting unit 34b cancels the overexposure or underexposure based on the determination of the control unit 34. The imaging conditions may be set in.
For the area that is not highlighted (the area other than the area 61), the set imaging conditions are maintained.

  Instead of highlighting the outline of the area for which the imaging condition is set (changed), the control unit 34 displays the entire target area brightly, increases the contrast of the entire target area, or displays the entire target area. May be displayed blinking. Further, the target area may be surrounded by a frame. The display of the frame surrounding the target area may be a double frame or a single frame, and the display mode such as the line type, color, and brightness of the surrounding frame may be appropriately changed. In addition, the control unit 34 may display an indication of an area for which an imaging condition is set, such as an arrow, in the vicinity of the target area. The control unit 34 may darkly display a region other than the target region for which the imaging condition is set (changed), or may display a low contrast other than the target region.

  As described above, when an image capturing condition for each region is set and a release button (not shown) constituting the operation member 36 or a display (release icon) for instructing start of imaging is operated, the control unit 34 is operated. By controlling the imaging unit 32, imaging is performed under the imaging conditions set for each of the divided areas. The image processing unit 33 performs image processing on the image data acquired by the imaging unit 32. As described above, the image processing can be performed under different image processing conditions for each region.

  After the image processing by the image processing unit 33, the recording unit 37 that receives an instruction from the control unit 34 records the image data after the image processing on a recording medium including a memory card (not shown). Thereby, a series of imaging processes is completed.

<Data selection process>
As described above, in this embodiment, after the area of the imaging screen is divided by the setting unit 34b, the imaging condition is set (changed) for the area selected by the user or the area determined by the control unit 34. ) Is configured to be possible. When different imaging conditions are set in the divided areas, the control unit 34 performs the following data selection process as necessary.

1. When image processing is performed The image processing unit 33 (selection unit 33b) is in the vicinity of a boundary between regions when image processing on image data acquired by applying different imaging conditions between the divided regions is predetermined image processing. A data selection process is performed on the image data located in the position as a pre-process of the image process. The predetermined image processing is processing for calculating image data of a target position to be processed in an image with reference to image data at a plurality of reference positions around the target position. For example, pixel defect correction processing, color interpolation Processing, contour enhancement processing, noise reduction processing, and the like are applicable.

  The data selection process is performed in order to relieve the uncomfortable feeling that appears in the image after image processing due to the difference in imaging conditions between the divided areas. When the target position is located near the boundary of the divided area, image data in which the same imaging condition as the image data of the target position is applied to the plurality of reference positions around the target position, and the image data of the target position There are cases where image data to which different imaging conditions are applied coexists. In the present embodiment, the image data at the reference position to which the same imaging condition as the target position is applied is calculated rather than the image data at the target position is calculated by directly referring to the image data at the reference position to which the different imaging conditions are applied. Based on the idea that it is preferable to calculate the image data of the target position with reference to, data used for image processing is selected as follows.

  FIG. 7A is a diagram illustrating a region 80 near the boundary between the region 61 and the region 64 in the live view image 60a. In this example, it is assumed that the first imaging condition is set in an area 61 including at least a person and the second imaging condition is set in an area 64 including a mountain. FIG. 7B is an enlarged view of a region 80 near the boundary of FIG. The image data from the pixels on the image sensor 32a corresponding to the area 61 for which the first imaging condition is set is shown in white, and the image from the pixels on the image sensor 32a corresponding to the area 64 for which the second imaging condition is set. Data is shaded. In FIG. 7B, the image data from the target pixel P is located on the boundary portion that is on the region 61 and in the vicinity of the boundary 81 between the region 61 and the region 64. Pixels around the target pixel P (eight pixels in this example) included in a predetermined range 90 (for example, 3 × 3 pixels) centered on the target pixel P are set as reference pixels. FIG. 7C is an enlarged view of the target pixel P and the reference pixel. The position of the target pixel P is the target position, and the position of the reference pixel surrounding the target pixel P is the reference position.

  The image processing unit 33 (generation unit 33c) can perform image processing by referring to the image data of the reference pixel as it is without performing the data selection processing. However, when the imaging condition applied to the target pixel P (referred to as the first imaging condition) is different from the imaging condition applied to the reference pixels around the target pixel P (referred to as the second imaging condition), The selection unit 33b selects the image data of the first imaging condition used for image processing from the image data of the reference pixels as in the following (Example 1) to (Example 3). Then, the generation unit 33c performs image processing for calculating the image data of the target pixel P with reference to the image data of the reference pixel after selecting the image data. In FIG. 7C, the data output from the pixels indicated by white background is image data under the first imaging condition, and the data output from the pixels indicated by diagonal lines is image data under the second imaging condition. In the present embodiment, by not selecting the image data of the second imaging condition, the image data output from the pixels indicated by the oblique lines is not used for the image processing.

(Example 1)
For example, the image processing unit 33 (selection unit 33b) differs only in ISO sensitivity between the first imaging condition and the second imaging condition, and the ISO sensitivity in the first imaging condition is 100, and the ISO sensitivity in the second imaging condition. Is 800, the image data of the first imaging condition used for image processing is selected from the image data of the reference pixel. That is, image data of the second imaging condition different from the first imaging condition in the image data of the reference pixel is not used for image processing.

(Example 2)
For example, the image processing unit 33 (selection unit 33b) differs only in the shutter speed between the first imaging condition and the second imaging condition, and the shutter speed of the first imaging condition is 1/1000 second. When the shutter speed is 1/100 second, image data of the first imaging condition used for image processing is selected from the image data of the reference pixel. That is, image data of the second imaging condition different from the first imaging condition in the image data of the reference pixel is not used for image processing.

(Example 3)
For example, the image processing unit 33 (selection unit 33b) differs only in the frame rate between the first imaging condition and the second imaging condition (the charge accumulation time is the same), and the frame rate of the first imaging condition is 30 fps. When the frame rate of the second imaging condition is 60 fps, the acquisition timing of the image data of the second imaging condition (60 fps) of the reference pixel image data is close to the frame image acquired under the first imaging condition (30 fps). Select the image data of the frame image. That is, image data of a frame image having a different acquisition timing from the frame image of the first imaging condition (30 fps) in the image data of the reference pixel is not used for image processing.

On the other hand, the image processing unit 33 (selection unit 33b) determines that the imaging conditions applied to the target pixel P and the imaging conditions applied to all the reference pixels around the target pixel P are all the same. Select the image data. For example, if it is determined that the same imaging condition as that applied to the target pixel P is applied to all the reference pixels, the image data of all the reference pixels are referred to as they are and Image processing for calculating image data is performed.
Note that, as described above, even if there is a slight difference in the imaging conditions (for example, apex value is 0.3 or less), the imaging conditions may be regarded as the same.

<Example of image processing>
An example of image processing with data selection processing will be described.
(1) Pixel Defect Correction Process In the present embodiment, the pixel defect correction process is one of image processes performed during imaging. In general, the image sensor 100, which is a solid-state image sensor, may produce pixel defects in the manufacturing process or after manufacturing, and output image data at an abnormal level. Therefore, the image processing unit 33 (the generation unit 33c) corrects the image data output from the pixel in which the pixel defect has occurred, thereby making the image data in the pixel position in which the pixel defect has occurred inconspicuous.

  An example of pixel defect correction processing will be described. For example, the image processing unit 33 (the generation unit 33c) sets a pixel at a pixel defect position recorded in advance in a non-illustrated non-volatile memory in an image of one frame as a target pixel P (processing target pixel), and the target pixel P Pixels around the pixel of interest P (eight pixels in this example) included in a predetermined range 90 (for example, 3 × 3 pixels) (FIG. 7C) centering on the pixel are used as reference pixels.

  The image processing unit 33 (the generation unit 33c) calculates the maximum value and the minimum value of the image data in the reference pixel. When the image data output from the target pixel P exceeds these maximum value or minimum value, the image processing unit 33 (the generation unit 33c) starts from the target pixel P. Max and Min filter processing is performed to replace the output image data with the maximum value or the minimum value. Such a process is performed for all pixel defects whose position information is recorded in the nonvolatile memory.

  In the present embodiment, the image processing unit 33 (selection unit 33b) performs reference when the reference pixel includes a pixel to which a second imaging condition different from the first imaging condition applied to the target pixel P is applied. Image data to which the first imaging condition is applied is selected from image data at the pixel. Thereafter, the image processing unit 33 (generation unit 33c) performs the above-described Max and Min filter processing with reference to the selected image data. Note that pixel defect correction processing may be performed by taking the average of selected image data.

(2) Color Interpolation Processing In the present embodiment, color interpolation processing is one of image processing performed at the time of imaging. As illustrated in FIG. 3, in the imaging chip 111 of the imaging device 100, green pixels Gb and Gr, a blue pixel B, and a red pixel R are arranged in a Bayer array. The image processing unit 33 (generation unit 33c) lacks image data having a color component different from the color component of the color filter F arranged at each pixel position. Color interpolation processing for generating component image data is performed.

An example of color interpolation processing will be described. FIG. 8A is a diagram illustrating the arrangement of image data output from the image sensor 100. Corresponding to each pixel position, it has one of R, G, and B color components according to the rules of the Bayer array.
<G color interpolation>
First, general G color interpolation will be described. The image processing unit 33 (generation unit 33c) that performs the G color interpolation refers to the image data of the four G color components at the reference positions around the target position, with the positions of the R color component and the B color component as the target position in order. Thus, image data of the G color component at the position of interest is generated. For example, the G color component at the target position indicated by the thick frame in FIG. 8B (second row and second column counted from the upper left position. Similarly, the target position is counted from the upper left position). When generating the image data, the four G color component image data G1 to G4 located in the vicinity of the target position (second row and second column) are referred to. The image processing unit 33 (generation unit 33c) sets, for example, (aG1 + bG2 + cG3 + dG4) / 4 as G color component image data at the target position (second row, second column). Note that a to d are weighting coefficients provided according to the distance between the reference position and the target position and the image structure.

  Next, the G color interpolation of this embodiment will be described. 8A to 8C, the first imaging condition is applied to the left and upper regions with respect to the thick line, and the second imaging condition is applied to the right and lower regions with respect to the thick line. It shall be. In FIGS. 8A to 8C, the first imaging condition and the second imaging condition are different. Also, the G color component image data G1 to G4 in FIG. 8B are reference positions for image processing of the pixel at the target position (second row and second column). In FIG. 8B, the first imaging condition is applied to the target position (second row, second column). Among the reference positions, the first imaging condition is applied to the image data G1 to G3. Of the reference positions, the second imaging condition is applied to the image data G4. Therefore, the image processing unit 33 (selection unit 33b) selects the image data G1 to G3 to which the first imaging condition is applied from the G color component image data G1 to G4. In this way, the image processing unit 33 (generation unit 33c) calculates the G color component image data at the position of interest (second row and second column) with reference to the selected image data. The image processing unit 33 (generation unit 33c) sets, for example, (a1G1 + b1G2 + c1G3) / 3 as image data of the G color component at the target position (second row, second column). Note that a1 to c1 are weighting coefficients provided according to the distance between the reference position and the target position and the image structure.

  The image processing unit 33 (the generation unit 33c) generates image data of the G color component at the position of the B color component and the position of the R color component in FIG. In addition, the image data of the G color component can be obtained at each pixel position.

<R color interpolation>
FIG. 9A is a diagram obtained by extracting R color component image data from FIG. The image processing unit 33 (generating unit 33c) performs color difference shown in FIG. 9B based on the G color component image data shown in FIG. 8C and the R color component image data shown in FIG. Image data of the component Cr is calculated.

  First, general interpolation of the color difference component Cr will be described. For example, when the image processing unit 33 (the generation unit 33c) generates image data of the color difference component Cr at the target position indicated by the thick frame (second row and second column) in FIG. 9B, the target position (second row) Reference is made to the image data Cr1 to Cr4 of the four color difference components located in the vicinity of the second column). The image processing unit 33 (generation unit 33c) sets, for example, (eCr1 + fCr2 + gCr3 + hCr4) / 4 as image data of the color difference component Cr at the target position (second row and second column). Note that e to h are weighting coefficients provided according to the distance between the reference position and the target position and the image structure.

  Similarly, for example, when the image processing unit 33 (the generation unit 33c) generates image data of the color difference component Cr at the position of interest indicated by the thick frame (second row and third column) of FIG. Reference is made to the image data Cr2, Cr4 to Cr6 of the four color difference components located in the vicinity of the second row and the third column). The image processing unit 33 (generation unit 33c) sets, for example, (qCr2 + rCr4 + sCr5 + tCr6) / 4 as image data of the color difference component Cr at the target position (second row, third column). Note that q to t are weighting coefficients provided according to the distance between the reference position and the target position and the image structure. Thus, image data of the color difference component Cr is generated for each pixel position.

  Next, interpolation of the color difference component Cr according to the present embodiment will be described. 9A to 9C, for example, the first imaging condition is applied to the left and upper regions with respect to the thick line, and the second imaging condition is applied to the right and lower regions with respect to the thick line. It shall be applied. In FIGS. 9A to 9C, the first imaging condition and the second imaging condition are different. In FIG. 9B, the position indicated by the thick frame (second row, second column) is the target position of the color difference component Cr. Further, the color difference component image data Cr1 to Cr4 in FIG. 9B is a reference position for image processing of the pixel at the target position (second row and second column). In FIG. 9B, the first imaging condition is applied to the target position (second row, second column). Among the reference positions, the first imaging condition is applied to the image data Cr1, Cr3, and Cr4. Of the reference positions, the second imaging condition is applied to the image data Cr2. Therefore, the image processing unit 33 (selection unit 33b) selects image data Cr1, Cr3, and Cr4 to which the first imaging condition is applied from the image data Cr1 to Cr4 of the color difference component Cr. Thereafter, the image processing unit 33 (generation unit 33c) calculates the color difference component image data Cr at the target position (second row and second column) with reference to the selected image data. The image processing unit 33 (generation unit 33c) sets, for example, (e1Cr1 + g1Cr3 + h1Cr4) / 3 as image data of the color difference component Cr at the target position (second row and second column). Note that e1, g1, and h1 are weighting coefficients provided according to the distance between the reference position and the target position and the image structure.

  In FIG. 9C, the position indicated by the thick frame (second row, third column) is the target position of the color difference component Cr. Also, the color difference component image data Cr2, Cr4, Cr5, and Cr6 in FIG. 9C are reference positions for image processing of the pixel at the target position (second row and third column). In FIG. 9C, the second imaging condition is applied to the target position (second row, third column). Among the reference positions, the first imaging condition is applied to the image data Cr4 and Cr5. Of the reference positions, the second imaging condition is applied to the image data Cr2 and Cr6. Therefore, the image processing unit 33 (selection unit 33b), like the example of FIG. 9 (b) described above, the image data Cr2 to which the second imaging condition is applied from the image data Cr2, Cr4 to Cr6 of the color difference component Cr, and Select Cr6. Thereafter, the image processing unit 33 (generation unit 33c) calculates the color difference component image data Cr at the position of interest (second row and third column) with reference to the selected image data. The image processing unit 33 (generation unit 33c) sets, for example, (g2Cr2 + h2Cr6) / 2 as image data of the color difference component Cr at the target position (second row and third column). G2 and h2 are weighting coefficients provided according to the distance between the reference position and the target position and the image structure.

  The image processing unit 33 (generation unit 33c) obtains the image data of the color difference component Cr at each pixel position, and then adds the image data of the G color component shown in FIG. 8C in correspondence with each pixel position. Thus, R color component image data can be obtained at each pixel position.

<B color interpolation>
FIG. 10A is a diagram in which image data of the B color component is extracted from FIG. The image processing unit 33 (generation unit 33c) performs the color difference shown in FIG. 10B based on the G color component image data shown in FIG. 8C and the B color component image data shown in FIG. Image data of the component Cb is calculated.

  First, general interpolation of the color difference component Cb will be described. For example, when the image processing unit 33 (the generation unit 33c) generates image data of the color difference component Cb at the target position indicated by the thick frame (third row, third column) in FIG. Reference is made to the image data Cb1 to Cb4 of the four color difference components located in the vicinity of the third column). The image processing unit 33 (generation unit 33c) sets, for example, (uCb1 + vCb2 + wCb3 + xCb4) / 4 as the image data of the color difference component Cb at the target position (third row, third column). Note that u to x are weighting coefficients provided according to the distance between the reference position and the target position and the image structure.

  Similarly, when the image processing unit 33 (the generation unit 33c) generates image data of the color difference component Cb at the target position indicated by the thick frame (third row and fourth column) in FIG. 10C, for example, Reference is made to the image data Cb2 and Cb4 to Cb6 of the four color difference components located in the vicinity of (third row, fourth column). The image processing unit 33 (generation unit 33c) sets, for example, (yCb2 + zCb4 + αCb5 + βCb6) / 4 as image data of the color difference component Cb at the target position (third row, fourth column). Note that y, z, α, and β are weighting coefficients provided according to the distance between the reference position and the target position and the image structure. Thus, image data of the color difference component Cb is generated for each pixel position.

  Next, the interpolation of the color difference component Cb according to the present embodiment will be described. 10A to 10C, for example, the first imaging condition is applied to the left and upper regions with respect to the thick line, and the second imaging condition is applied to the right and lower regions with respect to the thick line. It shall be applied. In FIGS. 10A to 10C, the first imaging condition and the second imaging condition are different. In FIG. 10B, the position indicated by the thick frame (third row, third column) is the target position of the color difference component Cb. Also, the color difference component image data Cb1 to Cb4 in FIG. 10B is a reference position for image processing of the pixel at the target position (third row, third column). In FIG. 10B, the second imaging condition is applied to the target position (third row, third column). Among the reference positions, the first imaging condition is applied to the image data Cb1 and Cb3. Of the reference positions, the second imaging condition is applied to the image data Cb2 and Cb4. Therefore, the image processing unit 33 (selection unit 33b) selects the image data Cb2 and Cb4 to which the second imaging condition is applied from the image data Cb1 to Cb4 of the color difference component Cb. Thereafter, the image processing unit 33 (generation unit 33c) calculates the color difference component image data Cb at the target position (third row, third column) with reference to the selected image data. The image processing unit 33 (generation unit 33c) sets, for example, (v1Cb2 + x1Cb4) / 2 as image data of the color difference component Cb at the target position (third row, third column). Note that v1 and x1 are weighting coefficients provided according to the distance between the reference position and the target position and the image structure.

The same applies to the case where the color difference component image data Cb is generated for the position of interest (third row, fourth column) indicated by a thick frame in FIG.
In FIG. 10C, the position indicated by the thick frame (third row, fourth column) is the target position of the color difference component Cb. Further, the color difference component image data Cb2 and Cb4 to Cb6 in FIG. 10C are reference positions for image processing of the pixel at the target position (third row, fourth column). In FIG. 10C, the second imaging condition is applied to the target position (third row, fourth column). The second imaging condition is applied to the image data Cb2 and Cb4 to Cb6 at all reference positions. Therefore, the image processing unit 33 (generation unit 33c) refers to the image data Cb2 and Cb4 to Cb6 of the four color difference components located in the vicinity of the target position (third row, fourth column), and the target position (third row). Image data of the color difference component Cb in the fourth column) is calculated.

  The image processing unit 33 (the generation unit 33c) obtains the image data of the color difference component Cb at each pixel position, and then adds the image data of the G color component shown in FIG. 8C in correspondence with each pixel position. Thus, image data of the B color component can be obtained at each pixel position.

(3) Outline Enhancement Process An example of the outline enhancement process will be described. The image processing unit 33 (generation unit 33c) performs, for example, a known linear filter calculation using a kernel of a predetermined size centered on the pixel of interest P (processing target pixel) in one frame image. When the kernel size of the sharpening filter that is an example of the linear filter is N × N pixels, the position of the target pixel P is the target position, and the positions of (N ² −1) reference pixels surrounding the target pixel P are referred to. Position.
The kernel size may be N × M pixels.

  The image processing unit 33 (generation unit 33c) performs a filter process for replacing the image data in the target pixel P with a linear filter calculation result on each horizontal line, for example, from the upper horizontal line to the lower horizontal line of the frame image. This is done while shifting the pixel of interest from left to right.

  In the present embodiment, the image processing unit 33 (selection unit 33b) performs reference when the reference pixel includes a pixel to which a second imaging condition different from the first imaging condition applied to the target pixel P is applied. Image data to which the first imaging condition is applied is selected from image data at the pixel. Thereafter, the image processing unit 33 (generation unit 33c) performs the above-described linear filter processing with reference to the selected image data.

(4) Noise reduction processing An example of noise reduction processing will be described. The image processing unit 33 (generation unit 33c) performs, for example, a known linear filter calculation using a kernel of a predetermined size centered on the pixel of interest P (processing target pixel) in one frame image. When the kernel size of the smoothing filter which is an example of the linear filter is N × N pixels, the position of the target pixel P is the target position, and the positions of (N ² −1) reference pixels surrounding the target pixel P are referred to. Position.
The kernel size may be N × M pixels.

  The image processing unit 33 (generation unit 33c) performs a filter process for replacing the image data in the target pixel P with a linear filter calculation result on each horizontal line, for example, from the upper horizontal line to the lower horizontal line of the frame image. This is done while shifting the pixel of interest from left to right.

In the present embodiment, the image processing unit 33 (selection unit 33b) performs reference when the reference pixel includes a pixel to which a second imaging condition different from the first imaging condition applied to the target pixel P is applied. Image data to which the first imaging condition is applied is selected from image data at the pixel. Thereafter, the image processing unit 33 (generation unit 33c) performs the above-described linear filter processing with reference to the selected image data.
As described above, the image processing unit 33 (selection unit 33b) determines whether the reference pixel includes a pixel to which a second imaging condition different from the first imaging condition applied to the target pixel P is included. Image data to which the first imaging condition is applied is selected from the image data. Thereafter, the image processing unit 33 (generation unit 33c) refers to the selected image data and performs image processing such as pixel defect correction processing, color interpolation processing, contour enhancement processing, and noise reduction processing. The image processing unit 33 (selection unit 33b) performs the same processing on image data (including image data to which the second imaging condition is applied) from other pixels output from the image sensor, and outputs an image. Generate. The generated image is displayed on a display unit such as a display device.

2. When performing focus detection processing The control unit 34 (AF calculation unit 34d) performs focus detection processing using image data corresponding to a predetermined position (focus detection position) on the imaging screen. The control unit 34 (AF calculation unit 34d) is set near the boundary of the region when different imaging conditions are set between the divided regions and the focus detection position of the AF operation is located at the boundary portion of the divided region. Data selection processing is performed as preprocessing for focus detection processing on image data for focus detection.

  The data selection process is performed in order to suppress a decrease in the accuracy of the focus detection process due to the difference in imaging conditions between areas of the imaging screen divided by the setting unit 34b. For example, when image data for focus detection at a focus detection position for detecting an image shift amount (phase difference) in an image is located near the boundary of the divided areas, different imaging conditions are included in the image data for focus detection. Applied image data may be mixed. In the present embodiment, the amount of image misalignment (position) is determined using image data to which the same image capturing conditions are applied, rather than detecting image misalignment (phase difference) using image data to which different image capturing conditions are applied as it is. Based on the idea that it is preferable to detect (phase difference), data selection processing is performed as follows.

<Example of focus detection processing>
An example of focus detection processing accompanied by data selection processing will be described. In the AF operation of the present embodiment, for example, the subject corresponding to the focus detection position selected by the user from a plurality of focus detection positions is focused. The control unit 34 (AF calculation unit 34d) detects the image shift amounts (phase differences) of a plurality of subject images due to light beams that have passed through different pupil regions of the imaging optical system 31, thereby defocusing the imaging optical system 31. Is calculated. The control unit 34 (AF calculation unit 34d) moves the focus lens of the imaging optical system 31 to a position where the defocus amount is zero (allowable value or less), that is, a focus position.

  FIG. 11 is a diagram illustrating the position of the focus detection pixel on the imaging surface of the imaging element 32a. In the present embodiment, focus detection pixels are discretely arranged along the X-axis direction (horizontal direction) of the imaging chip 111. In the example of FIG. 11, 15 focus detection pixel lines 160 are provided at a predetermined interval. The focus detection pixels constituting the focus detection pixel line 160 output a photoelectric conversion signal for focus detection. In the imaging chip 111, normal imaging pixels are provided at pixel positions other than the focus detection pixel line 160. The imaging pixel outputs a live view image or a photoelectric conversion signal for recording.

  FIG. 12 is an enlarged view of a part of the focus detection pixel line 160 corresponding to the focus detection position 80A shown in FIG. In FIG. 12, a red pixel R, a green pixel G (Gb, Gr), and a blue pixel B, a focus detection pixel S1, and a focus detection pixel S2 are illustrated. The red pixel R, the green pixel G (Gb, Gr), and the blue pixel B are arranged according to the rules of the Bayer arrangement described above.

  The square area illustrated for the red pixel R, the green pixel G (Gb, Gr), and the blue pixel B indicates a light receiving area of the imaging pixel. Each imaging pixel receives a light beam passing through the exit pupil of the imaging optical system 31 (FIG. 1). That is, the red pixel R, the green pixel G (Gb, Gr), and the blue pixel B each have a square-shaped mask opening, and light passing through these mask openings reaches the light-receiving portion of the imaging pixel. .

  In addition, the shape of the light receiving region (mask opening) of the red pixel R, the green pixel G (Gb, Gr), and the blue pixel B is not limited to a quadrangle, and may be, for example, a circle.

  The semicircular region exemplified for the focus detection pixel S1 and the focus detection pixel S2 indicates a light receiving region of the focus detection pixel. That is, the focus detection pixel S1 has a semicircular mask opening on the left side of the pixel position in FIG. 12, and the light passing through the mask opening reaches the light receiving portion of the focus detection pixel S1. On the other hand, the focus detection pixel S2 has a semicircular mask opening on the right side of the pixel position in FIG. 12, and the light passing through the mask opening reaches the light receiving portion of the focus detection pixel S2. As described above, the focus detection pixel S1 and the focus detection pixel S2 respectively receive a pair of light beams passing through different areas of the exit pupil of the imaging optical system 31 (FIG. 1).

  Note that the position of the focus detection pixel line 160 in the imaging chip 111 is not limited to the position illustrated in FIG. Further, the number of focus detection pixel lines 160 is not limited to the example of FIG. Further, the shape of the mask opening in the focus detection pixel S1 and the focus detection pixel S2 is not limited to a semicircular shape. For example, a rectangular light receiving region (mask opening) in the imaging pixel R, the imaging pixel G, and the imaging pixel B is used. Part) may be a rectangular shape divided in the horizontal direction.

  Further, the focus detection pixel line 160 in the imaging chip 111 may be a line in which focus detection pixels are arranged along the Y-axis direction (vertical direction) of the imaging chip 111. An imaging element in which imaging pixels and focus detection pixels are two-dimensionally arranged as shown in FIG. 12 is known, and detailed illustration and description of these pixels are omitted.

  In the example of FIG. 12, the configuration in which the focus detection pixels S1 and S2 each receive one of the pair of focus detection light beams has been described. Instead, the focus detection pixels may receive both the pair of focus detection light beams. By adopting a configuration in which each of the focus detection pixels receives both of the pair of light beams for focus detection, the photoelectric conversion signal obtained by the focus detection pixel can be used as a recording photoelectric conversion signal.

  The control unit 34 (AF calculation unit 34d) is configured to control the imaging optical system 31 (FIG. 1) based on photoelectric conversion signals (signal data) for focus detection output from the focus detection pixel S1 and the focus detection pixel S2. An image shift amount (phase difference) between a pair of images caused by a pair of light beams passing through different areas is detected. Then, the defocus amount is calculated based on the image shift amount (phase difference). Such defocus amount calculation by the pupil division phase difference method is well known in the field of cameras, and thus detailed description thereof is omitted.

  It is assumed that the focus detection position 80A (FIG. 11) is selected by the user at a position corresponding to the region 80 near the boundary of the region 61 in the live view image 60a illustrated in FIG. FIG. 13 is an enlarged view of the focus detection position 80A. White pixels indicate that the first imaging condition is set, and shaded pixels indicate that the second imaging condition is set. In FIG. 13, the position surrounded by the frame 170 corresponds to the focus detection pixel line 160 (FIG. 11).

  The control unit 34 (AF calculation unit 34d) normally performs the focus detection process using the focus detection signal data of the focus detection pixel indicated by the frame 170 without performing the data selection process. However, when the focus detection signal data to which the first imaging condition is applied and the focus detection signal data to which the second imaging condition is applied are mixed in the focus detection signal data surrounded by the frame 170, As in the following (Example 1) to (Example 3), the control unit 34 (AF calculation unit 34d) uses the focus detection signal data enclosed by the frame 170 for focus detection of the first imaging condition used for the focus detection processing. Select the signal data. Then, the control unit 34 (AF calculation unit 34d) performs a focus detection process using the signal data for focus detection after the data selection process. In FIG. 13, the data output from the pixels indicated by the white background is signal data for focus detection under the first imaging condition, and the data output from the pixels indicated by the diagonal lines is signal data for focus detection under the second imaging condition. is there. In the present embodiment, by not selecting the focus detection signal data of the second imaging condition, the focus detection signal data output from the hatched pixels is not used for the focus detection process.

(Example 1)
For example, the control unit 34 (AF calculation unit 34d) differs only in ISO sensitivity between the first imaging condition and the second imaging condition, the ISO sensitivity of the first imaging condition is 100, and the ISO sensitivity of the second imaging condition. Is 800, the signal data for focus detection of the first imaging condition used for the focus detection process is selected from the image data surrounded by the frame 170. That is, out of the focus detection signal data surrounded by the frame 170, the focus detection signal data under the second imaging condition different from the first imaging condition is not used for the focus detection process.

(Example 2)
For example, the control unit 34 (AF calculation unit 34d) differs only in the shutter speed between the first imaging condition and the second imaging condition, and the shutter speed of the first imaging condition is 1/1000 second. When the shutter speed is 1/100 second, the focus detection signal data of the first imaging condition used for the focus detection process is selected from the focus detection signal data surrounded by the frame 170. That is, out of the focus detection signal data surrounded by the frame 170, the focus detection signal data under the second imaging condition different from the first imaging condition is not used for the focus detection process.

(Example 3)
For example, the control unit 34 (AF calculation unit 34d) differs only in the frame rate between the first imaging condition and the second imaging condition (the charge accumulation time is the same), and the frame rate of the first imaging condition is 30 fps. When the frame rate of the second imaging condition is 60 fps, the focus detection signal data of the first imaging condition used for the focus detection process is selected from the focus detection signal data surrounded by the frame 170. That is, out of the focus detection signal data enclosed by the frame 170, the focus detection signal data of the second imaging condition acquired at a timing different from the image data of the first imaging condition is not used for the focus detection process.

  On the other hand, the control unit 34 (AF calculation unit 34d) does not perform the data selection process when the imaging conditions applied in the focus detection signal data surrounded by the frame 170 are the same. That is, the control unit 34 (AF calculation unit 34d) performs focus detection processing using the focus detection signal data of the focus detection pixels indicated by the frame 170 as they are.

As described above, even if there are some differences in the imaging conditions, the imaging conditions are regarded as the same.
In the above example, the example of selecting the focus detection signal data of the first imaging condition from the focus detection signal data surrounded by the frame 170 has been described. Signal data for focus detection under the second imaging condition may be selected.
In the above example, since the focus detection is performed by designating the area where the first imaging condition is set, the example in which the photoelectric conversion signal for focus detection under the first imaging condition is selected has been described. An example in which the subject to be focused is located across an area where the first imaging condition is set and an area where the second imaging condition is set will be described. When the subject to be focused is located across the area where the first imaging condition is set and the area where the second imaging condition is set, the control unit 34 (AF calculation unit 34d) A focus detection photoelectric conversion signal of the first imaging condition used for focus detection processing is selected from the detection photoelectric conversion signal. Then, the control unit 34 (AF calculation unit 34d) calculates a first defocus amount from the selected photoelectric conversion signal for focus detection. Further, the control unit 34 (AF calculation unit 34d) selects the focus detection photoelectric conversion signal of the second imaging condition used for the focus detection process from the focus detection photoelectric conversion signal surrounded by the frame 170. Then, the control unit 34 (AF calculation unit 34d) calculates a second defocus amount from the selected focus detection photoelectric conversion signal. Then, the control unit 34 (AF calculation unit 34d) performs a focus detection process using the first defocus amount and the second defocus amount. Specifically, for example, the control unit 34 (AF calculation unit 34d) calculates an average value of the first defocus amount and the second defocus amount, and calculates the moving distance of the lens. Further, the control unit 34 (AF calculation unit 34d) may select a value having a smaller lens moving distance from the first defocus amount and the second defocus amount. The control unit 34 (AF calculation unit 34d) may select a value indicating that the subject is closer to the near side from the first defocus amount and the second defocus amount.
When the subject to be focused is located across the area where the first imaging condition is set and the area where the second imaging condition is set, the control unit 34 (AF calculating unit 34d) A region having a larger area may be selected and a photoelectric conversion signal for focus detection may be selected. For example, when the area of the face of the subject to be focused is 70% in the region where the first imaging condition is set and 30% in the second region, the control unit 34 (AF calculation unit 34d) A photoelectric conversion signal for focus detection under imaging conditions is selected. The ratio (percentage) to the area described above is an example, and the present invention is not limited to this.

  In the above description, the focus detection process using the pupil division phase difference method is exemplified. However, in the case of the contrast detection method in which the focus lens of the imaging optical system 31 is moved to the in-focus position based on the magnitude of the contrast of the subject image. Can be done in the same way.

  When the contrast detection method is used, the control unit 34 moves the focus lens of the imaging optical system 31 and outputs the image output from the imaging pixel of the imaging element 32a corresponding to the focus detection position at each position of the focus lens. A known focus evaluation value calculation is performed based on the data. Then, the position of the focus lens that maximizes the focus evaluation value is obtained as the focus position.

  The control unit 34 normally performs focus evaluation value calculation using the image data output from the imaging pixels corresponding to the focus detection position without performing data selection processing. However, when the image data corresponding to the focus detection position includes image data to which the first imaging condition is applied and image data to which the second imaging condition is applied, the control unit 34 corresponds to the focus detection position. The image data of the first imaging condition or the image data of the second imaging condition is selected from the image data to be processed. And the control part 34 performs focus evaluation value calculation using the image data after a data selection process. As described above, when the subject to be focused is located across the area in which the first imaging condition is set and the area in which the second imaging condition is set, the control unit 34 (AF calculation unit 34d). May select a region having a larger area of the subject region and select signal data for focus detection.

3. FIG. 14A is a diagram illustrating a template image 180 representing an object to be detected. FIG. 14B illustrates a live view image 60 (a) and a search range 190. It is a figure illustrated. The control unit 34 (object detection unit 34a) detects an object (for example, a bag 63a which is one of the subject elements in FIG. 5) from the live view image. The control unit 34 (the object detection unit 34a) may set the range in which the object is detected as the entire range of the live view image 60a. Also good.

  The control unit 34 (object detection unit 34a) sets different imaging conditions between the divided regions, and when the search range 190 includes the boundary of the divided region, the control unit 34 (object detection unit 34a) applies to image data located near the boundary of the region. Data selection processing is performed as preprocessing of subject detection processing.

  The data selection process is performed in order to suppress a decrease in the accuracy of the subject element detection process due to different imaging conditions between the areas of the imaging screen divided by the setting unit 34b. In general, when the search range 190 used for detecting the subject element includes a boundary of divided areas, image data to which different imaging conditions are applied may be mixed in the image data of the search range 190. In this embodiment, it is preferable to detect a subject element using image data to which the same imaging condition is applied, rather than using image data to which a different imaging condition is applied as it is. Based on the idea, the data selection process is performed as follows.

  A case will be described in which the bag 63a that is the belonging of the person 61a is detected in the live view image 60a illustrated in FIG. The control unit 34 (object detection unit 34a) sets the search range 190 in the vicinity of the region including the person 61a. In addition, you may set the area | region 61 containing the person 61a as a search range.

  When the search range 190 is not divided by two regions having different imaging conditions, the control unit 34 (the object detection unit 34a) uses the image data constituting the search range 190 as it is without performing the data selection process. Subject detection processing is performed. However, if image data in the search range 190 includes image data to which the first imaging condition is applied and image data to which the second imaging condition is applied, the control unit 34 (object detection unit 34a) Similarly to (Example 1) to (Example 3) in the case of performing the focus detection process described above, the image data of the first imaging condition used for the subject detection process is selected from the image data in the search range 190. Then, the control unit 34 (the object detection unit 34a) performs subject detection processing on the area where the first imaging condition is set, using the image data after the data selection processing. Here, the subject detection process is, for example, a process (so-called template matching) in which detection is performed by obtaining a similarity between the template image 180 and the image data of the selected first imaging condition. Further, the control unit 34 (object detection unit 34a) selects image data of the second imaging condition used for subject detection processing from the image data in the search range 190. Then, the control unit 34 (the object detection unit 34a) performs subject detection processing similar to the above on the region where the second imaging condition is set, using the image data after the data selection processing. In this way, the control unit 34 (the object detection unit 34a) performs subject detection within the search range 190. Then, subject detection within the search range 190 is detected by matching the boundary between the subject region detected using the image data of the first imaging condition and the subject region detected using the image data of the second imaging condition. be able to. In the above example, the control unit 34 (object detection unit 34a) has been described using the image data of the first imaging condition and the image data of the second imaging condition. However, only one of the image data is used. It may be used to detect a subject. For example, when the area where the first imaging condition is set and the area where the second imaging condition is set are set in the search range 190, the area where the first imaging condition is set occupies a lot. Alternatively, the subject may be detected using only the image data of the first imaging condition. Here, the fact that the area where the first imaging condition is set occupies a large area means, for example, that the area of the area where the first imaging condition is set is 70% or more. Further, the area of the region where the first imaging condition is set is not limited to 70% or more, and may be 80% or more, or 90% or more. Naturally, the ratio of the area of the region in which the first imaging condition is set is not limited to these and can be changed as appropriate.

  The data selection processing for the image data in the search range 190 described above may be applied to a search range used for detecting a specific subject such as a person's face or an area used for determination of an imaging scene. For example, when detecting the face of a person from the search range 190, the control unit 34 (the object detection unit 34a) selects image data of the first imaging condition used for subject detection processing from the image data of the search range 190. . Then, the control unit 34 (object detection unit 34a) performs a known face detection process on the region where the first imaging condition is set. Further, the control unit 34 (object detection unit 34a) selects image data of the second imaging condition used for subject detection processing from the image data in the search range 190. Then, the control unit 34 (the object detection unit 34a) performs a known face detection process on the region where the second imaging condition is set. Then, the control unit 34 (the object detection unit 34a) determines the boundary between the face area detected in the area where the first imaging condition is set and the face area detected in the area where the second imaging condition is set. Are combined to perform face detection from the image data in the search range 190.

  The data selection processing for the image data in the search range 190 described above is not limited to the search range used in the pattern matching method using the template image, but in the search range when detecting the feature amount based on the color or edge of the image. May be applied similarly.

  Further, by performing a known template matching process using image data of a plurality of frames having different acquisition times, a region similar to the tracking target in the previously acquired frame image is searched from the frame image acquired later. You may apply to the tracking process of a mobile body. In this case, the control unit 34, when the image data to which the first imaging condition is applied and the image data to which the second imaging condition is applied coexist in the search range set in the frame image acquired later. The image data of the first imaging condition used for the tracking process is selected from the image data of the search range. And the control part 34 performs a tracking process with respect to the area | region in which the 1st imaging condition was set using the image data after a data selection process. After that, the image data of the second imaging condition used for the tracking process is selected from the image data of the search range in the same manner as described above, and the control unit 34 performs the data after the data selection process for the area where the second imaging condition is set. Tracking processing may be performed using image data.

  The same applies to the case where a known motion vector is detected using image data of a plurality of frames having different acquisition times. When the image data to which the first imaging condition is applied and the image data to which the second imaging condition is applied are mixed in the detection area used for detecting the motion vector, the control unit 34 detects the motion vector. Image data of the first imaging condition used for detection processing is selected from the image data of the area. And the control part 34 detects a motion vector using the image data after a data selection process with respect to the area | region in which the 1st imaging condition was set. Thereafter, in the same manner as described above, the image data of the second imaging condition used for the motion vector detection process is selected from the image data of the search range, and the control unit 34 selects the data for the area where the second imaging condition is set. Motion vector detection processing may be performed using the processed image data. The control unit 34 may obtain the motion vector of the entire image from the motion vector detected from the area set with the first imaging condition and the motion vector detected from the area set with the second imaging condition. Alternatively, it may be a motion vector for each region.

4). When setting the imaging conditions When the control unit 34 (setting unit 34b) divides the area of the imaging screen and sets different imaging conditions between the divided areas, the control unit 34 (setting unit 34b) newly sets the exposure condition to determine the exposure condition Data selection processing is performed as preprocessing for setting exposure conditions for image data located near the boundary of the region.

  The data selection process is performed in order to suppress a decrease in accuracy of the process for determining the exposure condition due to the difference in the imaging condition between the areas of the imaging screen divided by the setting unit 34b. For example, when the photometric range set in the center of the imaging screen includes the boundary of the divided areas, image data to which different imaging conditions are applied may be mixed in the photometric range image data. In this embodiment, it is preferable to perform exposure calculation processing using image data to which the same imaging condition is applied, rather than performing exposure calculation processing using image data to which different imaging conditions are applied as they are. Based on this, data selection processing is performed as follows.

When the photometry range is not divided by a plurality of regions having different imaging conditions, the control unit 34 (setting unit 34b) performs exposure calculation processing using the image data constituting the photometry range as it is without performing data selection processing. I do. However, if the image data to which the first imaging condition is applied and the image data to which the second imaging condition is applied are mixed in the image data in the photometry range, the control unit 34 (setting unit 34b) Similarly to (Example 1) to (Example 3) when performing the focus detection process and the subject detection process, the image data of the first imaging condition used for the exposure calculation process is selected from the image data in the photometric range. And the control part 34 (setting part 34b) performs the exposure calculation process with respect to the area | region in which the 1st imaging condition was set using the image data after a data selection process. Then, the control unit 34 (setting unit 34b) selects the image data of the second imaging condition used for the exposure calculation process from the image data in the photometric range. Then, the control unit 34 (setting unit 34b) performs an exposure calculation process on the area where the second imaging condition is set, using the image data after the data selection process. As described above, when there are a plurality of regions having different imaging conditions in the photometric range, the control unit 34 (setting unit 34b) performs the data selection processing for measuring each region, and performs the data selection processing. Exposure calculation processing is performed using the image data.
Further, when the photometric range is located across the area where the first imaging condition is set and the area where the second imaging condition is set, the control unit 34 (setting unit 34b) performs the above-described focus detection and subject detection. As in the case of, a region having a larger area may be selected.

  Not only the photometric range when performing the exposure calculation process described above, but also the photometric (colorimetric) range used when determining the white balance adjustment value and the necessity of emission of the auxiliary photographing light by the light source that emits the auxiliary photographing light are determined. The same applies to the photometric range performed at the time, and further to the photometric range performed at the time of determining the light emission amount of the photographing auxiliary light by the light source.

  Further, when the readout resolution of the photoelectric conversion signal is made different between areas obtained by dividing the imaging screen, the same applies to the area used for determination of the imaging scene performed when determining the readout resolution for each area. it can.

<Description of flowchart>
FIG. 15 is a flowchart for explaining the flow of processing for setting an imaging condition for each area and imaging. When the main switch of the camera 1 is turned on, the control unit 34 activates a program that executes the process shown in FIG. In step S10, the control unit 34 causes the display unit 35 to start live view display, and proceeds to step S20.

Specifically, the control unit 34 causes the display unit 35 to sequentially display an image obtained by performing predetermined image processing on the image data sequentially output from the imaging unit 32 as a live view image. As described above, at this time, the same imaging condition is set for the entire area of the imaging chip 111, that is, the entire screen.
When the setting for performing the AF operation is performed during live view display, the control unit 34 (AF calculation unit 34d) performs focus detection processing to focus the subject element corresponding to the predetermined focus detection position. The AF operation to be adjusted is controlled. The AF calculation unit 34d performs the focus detection process after performing the data selection process as necessary.
If the setting for performing the AF operation is not performed during live view display, the control unit 34 (AF calculation unit 34d) performs the AF operation when the AF operation is instructed later.

  In step S20, the control unit 34 (object detection unit 34a) detects a subject element from the live view image, and proceeds to step S30. The object detection unit 34a performs the subject detection process after performing the data selection process as necessary. In step S30, the control unit 34 (setting unit 34b) divides the screen of the live view image into regions including subject elements, and proceeds to step S40.

In step S <b> 40, the control unit 34 displays an area on the display unit 35. As illustrated in FIG. 6, the control unit 34 highlights an area that is a target for setting (changing) the imaging condition among the divided areas. In addition, the control unit 34 displays the imaging condition setting screen 70 on the display unit 35 and proceeds to step S50.
When the display position of another main subject on the display screen is tapped with the user's finger, the control unit 34 sets an area including the main subject as an area for setting (changing) the imaging condition. Change and highlight.

  In step S50, the control unit 34 determines whether an AF operation is necessary. The control unit 34, for example, when the focus adjustment state changes due to the movement of the subject, when the position of the focus detection position is changed by a user operation, or when execution of an AF operation is instructed by a user operation Then, affirmative determination is made in step S50 and the process proceeds to step S70. When the focus adjustment state does not change, the position of the focus detection position is not changed by the user operation, and the execution of the AF operation is not instructed by the user operation, the control unit 34 makes a negative determination in step S50 and proceeds to step 60. move on.

  In step S70, the controller 34 performs an AF operation and returns to step S40. The AF calculation unit 34d performs a focus detection process that is an AF operation after performing the data selection process as necessary. The control unit 34 that has returned to step S40 repeats the same processing as described above based on the live view image acquired after the AF operation.

  In step S60, the control unit 34 (setting unit 34b) sets an imaging condition for the highlighted area in response to a user operation, and proceeds to step S80. Note that the display transition of the display unit 35 and the setting of the imaging conditions according to the user operation in step S60 are as described above. The control unit 34 (setting unit 34b) performs exposure calculation processing after performing the data selection processing as necessary.

  In step S80, the control unit 34 determines the presence / absence of an imaging instruction. When a release button (not shown) constituting the operation member 36 or a display icon for instructing imaging is operated, the control unit 34 makes a positive determination in step S80 and proceeds to step S90. When the imaging instruction is not performed, the control unit 34 makes a negative determination in step S80 and returns to step S60.

  In step S90, the control unit 34 performs predetermined imaging processing. That is, the imaging control unit 34c controls the imaging element 32a so as to perform imaging under the imaging conditions set for each region, and the process proceeds to step S100.

In step S100, the control unit 34 (imaging control unit 34c) sends an instruction to the image processing unit 33, performs predetermined image processing on the image data obtained by the imaging, and proceeds to step S110. Image processing includes the pixel defect correction processing, color interpolation processing, contour enhancement processing, and noise reduction processing.
Note that the image processing unit 33 (selection unit 33b) performs image processing after performing data selection processing on image data located near the boundary of the region, as necessary.

  In step S110, the control unit 34 sends an instruction to the recording unit 37, records the image data after image processing on a recording medium (not shown), and proceeds to step S120.

  In step S120, the control unit 34 determines whether an end operation has been performed. When the end operation is performed, the control unit 34 makes a positive determination in step S120 and ends the process illustrated in FIG. When the end operation is not performed, the control unit 34 makes a negative determination in step S120 and returns to step S20. When returning to step S20, the control unit 34 repeats the above-described processing.

  In the above description, the multilayer image sensor 100 is illustrated as the image sensor 32a. However, if the imaging condition can be set for each of a plurality of blocks in the image sensor (imaging chip 111), the image sensor 32a is not necessarily configured as a multilayer image sensor. do not have to.

According to the embodiment described above, the following operational effects can be obtained.
(1) The camera 1 including the subject detection device includes the first image data generated by capturing the subject image incident on the first area of the imaging unit 32 under the first imaging condition, and the second image of the imaging unit 32. A selection unit 33b that selects one of the second image data generated by imaging the subject image incident on the region under a second imaging condition different from the first imaging condition, and the selected selection image A control unit (object detection unit 34a) that detects an object (for example, a subject element such as a person) from the subject image based on the data. Thereby, it is possible to appropriately perform processing in areas where imaging conditions are different. That is, the subject element can be appropriately detected based on the image data generated in each area. For example, it is possible to suppress a decrease in detection accuracy due to a difference in imaging conditions for each region.

(2) The object detection unit 34 a of the camera 1 detects subject elements for a part of the search range 190 of the imaging unit 32, and the first region and the second region are included in the search range 190. Thereby, it is possible to appropriately perform the detection process in regions where the imaging conditions are different.

(3) Since the selection unit 33b of the camera 1 selects the image data having the larger number of image data out of the first image data and the second image data corresponding to a part of the search range 190, the imaging conditions are different. Thus, the detection process can be performed appropriately.

(4) The selection unit 33b of the camera 1 selects all image data when all the image data is the first image data, and selects all images when all the image data is the second image data. When data is selected and the image data includes the first image data and the second image data, the first image data or the second image data is selected. Thereby, it is possible to appropriately perform the detection process in regions where the imaging conditions are different.

(5) Since the object detection unit 34a of the camera 1 detects a subject element as a focus adjustment target of the imaging optical system 31, it is possible to appropriately perform detection processing in regions where imaging conditions are different.

(6) The camera 1 includes a control unit 34 that detects the brightness of the subject, and the object detection unit 34a detects a subject element as a target for photometry by the control unit 34. Detection processing can be performed.

(Second Embodiment)
The image data selection process in the case of performing image processing in the first embodiment is applied to the imaging condition applied to the target pixel P (referred to as the first imaging condition) and the reference pixels around the target pixel P. When the imaging conditions (the second imaging condition) are different, the image processing unit 33 (selecting unit 33b) uses the first imaging condition common to the target pixel from the image data of the pixels located inside the predetermined range 90. Is selected, and the image processing unit 33 (generating unit 33c) refers to the selected image data.

  In the second embodiment, the image processing unit 33 (selection unit 33b) uses the image data of the pixels located outside the predetermined range 90 as the image data to which the first imaging condition common to the target pixel is applied. And the number of data referred to by the image processing unit 33 (generation unit 33c) is increased. That is, the image processing unit 33 (selection unit 33b) changes the position to be selected and selects image data to which the first imaging condition is applied.

  FIG. 7D is an enlarged view of the target pixel P and the reference pixel in the second embodiment. In FIG. 7D, the data output from the pixels indicated by the white background in the predetermined range 90 centered on the target pixel P is the image data of the first imaging condition, and the data output from the pixels indicated by the oblique lines is It is image data of 2nd imaging conditions. Even in the case of image data of pixels located inside the predetermined range 90, the image processing unit 33 (selection unit 33b) does not select image data of pixels (hatched lines) to which the second imaging condition is applied. This is the same as in the first embodiment.

  In the second embodiment, the image processing unit 33 (selection unit 33b) is located on the inner side of the predetermined range 90 and white background to which the first imaging condition is applied, as illustrated in FIG. 7D. Along with the pixel image data, image data of a white background pixel that is located outside the predetermined range 90 and to which the first imaging condition is applied is further selected. The image processing unit 33 (generation unit 33c) refers to the image data selected in this way and performs image processing. In the above example, the distance from the position of the target pixel P to the position of the image data of the second imaging condition inside the predetermined range 90 is the first position located outside the predetermined range 90 from the position of the target pixel P. It is longer than the position of the image data of the white background pixel to which the imaging condition is applied. As described above, the image processing unit 33 (the generation unit 33c) does not select the image data of the second imaging condition that is short from the position of the target pixel P, and the first imaging that is long from the position of the target pixel P. Conditional image data can also be selected.

  Note that the image processing unit 33 (selection unit 33b) preferentially selects image data of pixels at positions closer to the predetermined range 90 than image data of pixels at positions away from the predetermined range 90. The reason for this is based on the idea that a pixel closer to the predetermined range 90 is more likely to have image information common to the target pixel P than a pixel farther from the predetermined range 90.

  Further, for example, when the length of one side of the predetermined range 90 is L, the image processing unit 33 (selection unit 33b) is a white background pixel (that is, the first pixel) whose distance from the pixel indicated by the diagonal line is L or less. Image data to which imaging conditions are applied) is selected. The reason for this is based on the idea that it is preferable not to include the image data in common with the target pixel P if it is too far from the predetermined range 90.

<Example of image processing>
An example of the image processing in the second embodiment will be described.
(1) Pixel defect correction processing When the same imaging condition is applied to the pixel of interest P and all of the pixels included in the predetermined range 90 centered on the pixel of interest P, the image processing unit 33 (selection unit 33b) All the image data of the pixels located inside the predetermined range 90 are selected. Thereafter, the image processing unit 33 (generation unit 33c) performs Max and Min filter processing with reference to the selected image data. Note that pixel defect correction processing may be performed by taking the average of selected image data.

  As shown in FIG. 7D, the image processing unit 33 (selection unit 33b) determines that the pixel to which the second imaging condition different from the first imaging condition applied to the target pixel P at the time of imaging is applied is the target pixel. If it is included in the predetermined range 90 centered on P, image data of a pixel that is located inside the predetermined range 90 and to which the first imaging condition is applied is selected. Furthermore, image data of a white background pixel that is located outside the predetermined range 90 and to which the first imaging condition is applied is selected. The image processing unit 33 (generation unit 33c) performs the Max and Min filter processing described above with reference to the image data selected in this way. Note that pixel defect correction processing may be performed by taking the average of selected image data.

  The image processing unit 33 performs such processing for all pixel defects whose position information is recorded in the nonvolatile memory.

(2) Color interpolation processing <G color interpolation>
The G color interpolation of the second embodiment will be described. As in the case of the first embodiment, in FIGS. 8A to 8C, for example, the first imaging condition is applied to the left and upper regions with respect to the thick line. Assume that the second imaging condition is applied to the right and lower regions.

In the example of FIG. 8B, the second imaging different from the first imaging condition applied to the target position (second row and second column) at the reference position corresponding to the G color component image data G4 indicated by the oblique lines. Conditions are applied. The image processing unit 33 (selection unit 33b) selects the image data G1 to G3 to which the first imaging condition is applied from the G color component image data G1 to G4. Further, the image processing unit 33 (selection unit 33b) selects the G color component image data G6 that is located near the reference position corresponding to the data G4 and to which the first imaging condition is applied. That is, the image processing unit 33 (selecting unit 33b) changes the position where the image data is selected with respect to the first embodiment, and selects the image data to which the first imaging condition is applied.
In addition, when the second imaging condition is applied also at the position of the data G6, data to which the first imaging condition is applied may be selected from image data at a position near the data G6.

  The image processing unit 33 (generation unit 33c) calculates the G color component image data at the position of interest (second row and second column) with reference to the image data thus selected. The image processing unit 33 (generation unit 33c) sets, for example, (a2G1 + b2G2 + c2G3 + d2G6) / 4 as the G color component image data at the target position (second row, second column). Note that a2, b2, c2, and d2 are weighting coefficients provided in accordance with the distance between the reference position and the target position and the image structure.

  The image processing unit 33 (the generation unit 33c) generates image data of the G color component at the position of the B color component and the position of the R color component in FIG. In addition, image data of the G color component is obtained at each pixel position.

<R color interpolation>
The R color interpolation of the second embodiment will be described. As in the case of the first embodiment, in FIGS. 9A to 9C, for example, the first imaging condition is applied to the left and upper regions with respect to the thick line. It is assumed that the second imaging condition is applied to the right and lower regions.

In the example of FIG. 9B, the image processing unit 33 (selection unit 33b) is indicated by a thick frame (second row and second column) at the reference position corresponding to the image data Cr2 of the color difference component Cr indicated by diagonal lines. A second imaging condition different from the first imaging condition applied to the position of interest is applied. Therefore, the image processing unit 33 (selection unit 33b) selects image data Cr1, Cr3 to Cr4 to which the first imaging condition is applied, from the color difference component image data Cr1 to Cr4. Further, the image processing unit 33 (selection unit 33b) selects the image data Cr15 (or Cr16) of the color difference component Cr that is located in the vicinity of the reference position corresponding to the data Cr2 and to which the first imaging condition is applied. That is, the image processing unit 33 (selecting unit 33b) changes the position where the image data is selected with respect to the first embodiment, and selects the image data to which the first imaging condition is applied.
If the second imaging condition is also applied at the position of the data Cr15 or Cr16, data to which the first imaging condition is applied may be selected from image data at positions near the data Cr15 or Cr16. .

  The image processing unit 33 (generation unit 33c) refers to the image data selected in this way, and calculates the image data of the color difference component at the position of interest (second row and second column). The image processing unit 33 (generating unit 33c) sets, for example, (e3Cr1 + f3Cr15 + g3Cr3 + h3Cr4) / 4 as image data of the color difference component Cr at the target position (second row and second column). Note that e3, f3, g3, and h3 are weighting coefficients provided according to the distance between the reference position and the target position and the image structure.

The same applies to the case where the image data of the color difference component Cr is generated for the target position indicated by the thick frame (second row, third column) in FIG. In the example of FIG. 9C, the reference position corresponding to the image data Cr4 and Cr5 of the chrominance component Cr indicated by diagonal lines is different from the second imaging condition applied to the target position (second row and third column). One imaging condition is applied. Therefore, the image processing unit 33 (selection unit 33b) selects the image data Cr2 and Cr6 to which the second imaging condition is applied from the image data Cr2 and Cr4 to Cr6 of the color difference components. Further, the image processing unit 33 (selection unit 33b) selects the image data Cr8 and Cr7 of the color difference component Cr that is located in the vicinity of the reference position corresponding to the data Cr4 and Cr5 and to which the second imaging condition is applied. That is, the image processing unit 33 (selecting unit 33b) changes the position where the image data is selected with respect to the first embodiment, and selects the image data to which the second imaging condition is applied.
If the first imaging condition is also applied at the positions of the data Cr8 and Cr7, data to which the second imaging condition is applied is selected from the image data at positions near the data Cr8 and Cr7. May be.

  The image processing unit 33 (generation unit 33c) calculates the image data of the color difference component Cr at the position of interest (second row and third column) with reference to the image data thus selected. The image processing unit 33 (generation unit 33c) uses, for example, (q3Cr2 + r3Cr8 + s3Cr7 + t3r6) / 4 as image data of the color difference component Cr at the target position. Note that q3, r3, s3, and t3 are weighting coefficients provided according to the distance between the reference position and the target position and the image structure.

  The image processing unit 33 (generation unit 33c) obtains the image data of the color difference component Cr at each pixel position, and then adds the image data of the G color component shown in FIG. 8C in correspondence with each pixel position. Thus, image data of the R color component is obtained at each pixel position.

<B color interpolation>
The B color interpolation of the second embodiment will be described. As in the case of the first embodiment, in FIGS. 10A to 10C, for example, the first imaging condition is applied to the left and upper regions with respect to the thick line. Assume that the second imaging condition is applied to the right and lower regions.

  In the example of FIG. 10B, the second imaging applied to the reference position corresponding to the image data Cb1 and Cb3 of the color difference component Cb indicated by diagonal lines and the target position indicated by the thick frame (third row, third column). A first imaging condition different from the condition is applied. Therefore, the image processing unit 33 (selection unit 33b) selects the image data Cb2 and Cb4 to which the second imaging condition is applied, from the color difference component image data Cb1 to Cb4. Further, the image processing unit 33 (selection unit 33b) selects the image data Cb16 and Cb17 of the color difference component Cb that is located in the vicinity of the reference position corresponding to the data Cb1 and Cb3 and to which the second imaging condition is applied. That is, the image processing unit 33 (selecting unit 33b) changes the position where the image data is selected with respect to the first embodiment, and selects image data to which the second imaging condition is applied.

  The image processing unit 33 (generation unit 33c) calculates the color difference component image data Cb at the position of interest (third row, third column) with reference to the image data selected in this way. The image processing unit 33 (generation unit 33c) sets, for example, (u3Cb16 + v3Cb2 + w3Cb4 + x3Cb17) / 4 as the image data of the color difference component Cb at the target position (third row, third column). Note that u3, v3, w3, and x3 are weighting coefficients provided according to the distance between the reference position and the target position and the image structure.

The same applies to the case where the color difference component image data Cb is generated for the position of interest (third row, fourth column) indicated by a thick frame in FIG.
In the example of FIG. 10C, the reference position corresponding to the image data Cb2 and Cb4 to Cb6 of the four color difference components located in the vicinity of the target position (third row, fourth column) is the target position (3 The same second imaging condition as that in the fourth row) is applied. The image processing unit 33 (generation unit 33c) calculates the image data of the color difference component Cb at the target position with reference to the image data Cb2 and Cb4 to Cb6 of the four color difference components located in the vicinity of the target position.

  The image processing unit 33 (the generation unit 33c) obtains the image data of the color difference component Cb at each pixel position, and then adds the image data of the G color component shown in FIG. 8C in correspondence with each pixel position. Thus, image data of the B color component is obtained at each pixel position.

  According to the second embodiment described above, the following functions and effects can be obtained in addition to the same functions and effects as those of the first embodiment. In other words, the selection unit 33b selects image data of pixels other than the reference pixel and in an area in which an imaging condition common to the pixel position (position of the target pixel) is set. Thereby, for example, it is possible to increase the data referred to for generating the third image data by the generating unit 33c and appropriately perform image processing.

(Modification of the first and second embodiments)
The following modifications are also within the scope of the present invention, and one or a plurality of modifications can be combined with the above-described embodiment.
(Modification 1)
FIG. 16A to FIG. 16C are diagrams illustrating the arrangement of the first area and the second area on the imaging surface of the imaging element 32a. According to the example of FIG. 16 (a), the first region is composed of even columns, and the second region is composed of odd columns. That is, the imaging surface is divided into even columns and odd columns.

  According to the example of FIG. 16 (b), the first region is composed of odd rows and the second region is composed of even rows. That is, the imaging surface is divided into odd rows and even rows.

  According to the example of FIG. 16 (c), the first region is configured by blocks of even rows in odd columns and blocks of odd rows in even columns. In addition, the second region is configured by even-numbered blocks in even columns and odd-numbered blocks in odd columns. That is, the imaging surface is divided into a checkered pattern.

  In any case of FIG. 16A to FIG. 16C, the first image based on the photoelectric conversion signal read from the first region and the photoelectric conversion signal read from the image pickup element 32a that has picked up an image of one frame Second images based on the photoelectric conversion signals read from the second region are respectively generated. According to the first modification, the first image and the second image are captured at the same angle of view and include a common subject image.

  In the first modification, the control unit 34 uses the first image for display and the second image for detection. Specifically, the control unit 34 causes the display unit 35 to display the first image as a live view image. Further, the control unit 34 causes the object detection unit 34a to perform subject detection processing using the second image, causes the AF calculation unit 34 to perform focus detection processing using the second image, and sets the second image using the setting unit 34b. Is used to perform exposure calculation processing.

  In the first modification, the imaging condition set in the first area for capturing the first image is referred to as the first imaging condition, and the imaging condition set in the second area for capturing the second image is referred to as the second imaging condition. And The control unit 34 may make the first imaging condition different from the second imaging condition.

1. As an example, the control unit 34 sets the first imaging condition to a condition suitable for display by the display unit 35. The first imaging condition is the same for the entire first area of the imaging screen. On the other hand, the control unit 34 sets the second imaging condition to a condition suitable for the focus detection process, the subject detection process, and the exposure calculation process. The second imaging condition is also made the same for the entire second area of the imaging screen.
When the conditions suitable for the focus detection process, the subject detection process, and the exposure calculation process are different, the control unit 34 may change the second imaging condition set in the second area for each frame. For example, the second imaging condition of the first frame is a condition suitable for the focus detection process, the second imaging condition of the second frame is a condition suitable for the subject detection process, and the second imaging condition of the third frame is the exposure calculation process. Conditions suitable for In these cases, the second imaging condition in each frame is the same in the entire second area of the imaging screen.

2. As another example, the control unit 34 may change the first imaging condition set in the first region. The control unit 34 (setting unit 34b) sets different first imaging conditions for each region including the subject element divided by the setting unit 34b. On the other hand, the control unit 34 makes the second imaging condition the same for the entire second area of the imaging screen. The control unit 34 sets the second imaging condition to a condition suitable for the focus detection process, the subject detection process, and the exposure calculation process. However, the conditions suitable for the focus detection process, the subject detection process, and the exposure calculation process are set. If they are different, the imaging conditions set in the second area may be different for each frame.

3. As another example, the control unit 34 makes the first imaging condition the same for the entire first area of the imaging screen, while making the second imaging condition set for the second area different on the imaging screen. Also good. For example, a different second imaging condition is set for each region including the subject element divided by the setting unit 34b. Even in this case, if the conditions suitable for the focus detection process, the subject detection process, and the exposure calculation process are different, the imaging conditions set in the second region may be different for each frame.

4). Furthermore, as another example, the control unit 34 varies the first imaging condition set in the first area on the imaging screen, and varies the second imaging condition set on the second area on the imaging screen. For example, the setting unit 34b sets different first imaging conditions for each region including the subject element divided, and the setting unit 34b sets different second imaging conditions for each region including the subject element divided.

  In FIG. 16A to FIG. 16C, the area ratio between the first region and the second region may be different. For example, the control unit 34 sets the ratio of the first region to be higher than that of the second region based on the operation by the user or the determination of the control unit 34, or sets the ratio of the first region to the second region in FIG. ~ As illustrated in FIG. 16 (c), they are set equal, or the ratio of the first area is set lower than that of the second area. By making the area ratios different between the first region and the second region, the first image is made to have a higher definition than the second image, the resolutions of the first image and the second image are made equal, or the second image is Compared to the first image, it can be made higher definition.

(Modification 2)
In the above embodiment, an example has been described in which the control unit 34 (setting unit 34b) detects a subject element based on a live view image and divides the screen of the live view image into regions including the subject element. In the second modification, when the control unit 34 includes a photometric sensor in addition to the image sensor 32a, the control unit 34 may divide the region based on an output signal from the photometric sensor.

  The control unit 34 divides the foreground and the background based on the output signal from the photometric sensor. Specifically, the live view image acquired by the image sensor 32b is a foreground area corresponding to an area determined as a foreground from an output signal from a photometric sensor, and an area determined as a background from an output signal from the photometric sensor. Is divided into background areas corresponding to.

  The control unit 34 further arranges the first region and the second region as illustrated in FIGS. 16A to 16C with respect to the position corresponding to the foreground region on the imaging surface of the imaging device 32a. . On the other hand, the control unit 34 arranges only the first area on the imaging surface of the imaging element 32a with respect to the position corresponding to the background area of the imaging surface of the imaging element 32a. The control unit 34 uses the first image for display and the second image for detection.

  According to the second modification, the live view image acquired by the image sensor 32b can be divided by using the output signal from the photometric sensor. In addition, a first image for display and a second image for detection can be obtained for the foreground area, and only a first image for display can be obtained for the background area.

(Modification 3)
In the third modification, the image processing unit 33 (the generation unit 33c) performs contrast adjustment processing so as to alleviate the discontinuity of the image based on the difference between the first imaging condition and the second imaging condition. That is, the generation unit 33c relaxes the discontinuity of the image based on the difference between the first imaging condition and the second imaging condition by changing the gradation curve (gamma curve).

  For example, it is assumed that only the ISO sensitivity is different between the first imaging condition and the second imaging condition, the ISO sensitivity of the first imaging condition is 100, and the ISO sensitivity of the second imaging condition is 800. The generation unit 33c compresses the value of the image data of the second imaging condition in the image data at the reference position to 1/8 by laying down the gradation curve.

  Alternatively, the generation unit 33c may extend the value of the image data of the first imaging condition among the image data of the target position and the image data of the reference position by increasing the gradation curve by 8 times.

  According to the third modification, similarly to the above-described embodiment, it is possible to appropriately perform image processing on image data respectively generated in regions having different imaging conditions. For example, discontinuity and discomfort appearing in an image after image processing can be suppressed due to a difference in imaging conditions at the boundary between regions.

(Modification 4)
In the fourth modification, the image processing unit 33 (the generation unit 33c) prevents the outline of the subject element from being damaged in the above-described image processing (for example, noise reduction processing). In general, smoothing filter processing is employed when noise reduction is performed. When the smoothing filter is used, the boundary of the subject element may be blurred while the noise reduction effect.

  Therefore, the image processing unit 33 (the generation unit 33c) compensates for the blur of the subject element boundary by performing contrast adjustment processing in addition to or in addition to noise reduction processing, for example. In the fourth modification, the image processing unit 33 (generation unit 33c) sets a curve that draws an S shape as a density conversion (gradation conversion) curve (so-called S-shaped conversion). The image processing unit 33 (generation unit 33c) performs contrast adjustment using S-shaped conversion, thereby extending the gradation portions of the bright data and the dark data to respectively increase the number of gradations of the bright data (and dark data). At the same time, the number of gradations is reduced by compressing intermediate gradation image data. As a result, the number of image data having a medium brightness is reduced, and data classified as either bright / dark is increased. As a result, blurring of the boundary of the subject element can be compensated.

  According to the modified example 4, blurring of the boundary of the subject element can be compensated by sharpening the brightness and darkness of the image.

(Modification 5)
In the fifth modification, the image processing unit 33 (generation unit 33c) changes the white balance adjustment gain so as to alleviate the discontinuity of the image based on the difference between the first imaging condition and the second imaging condition.

  For example, when the imaging condition applied at the time of imaging at the target position (referred to as the first imaging condition) is different from the imaging condition applied at the time of imaging at the reference position around the target position (referred to as the second imaging condition). The image processing unit 33 (generating unit 33c) brings the white balance of the image data of the second imaging condition out of the image data at the reference position closer to the white balance of the image data acquired under the first imaging condition. Change the white balance adjustment gain.

  Note that the image processing unit 33 (the generation unit 33c) determines the white balance between the image data of the first imaging condition and the image data of the target position in the image data at the reference position, and the white balance of the image data acquired under the second imaging condition. The white balance adjustment gain may be changed so as to approach the white balance.

  According to the fifth modification, the white balance adjustment gain is adjusted to one of the adjustment gains in the areas with different imaging conditions for the image data generated in the areas with different imaging conditions, so that the first imaging condition and the second imaging condition are adjusted. The discontinuity of the image based on the difference from the imaging condition can be reduced.

(Modification 6)
A plurality of image processing units 33 may be provided, and image processing may be performed in parallel. For example, image processing is performed on the image data captured in the region B of the imaging unit 32 while performing image processing on the image data captured in the region A of the imaging unit 32. The plurality of image processing units 33 may perform the same image processing or different image processing. That is, the same parameters are applied to the image data of the region A and the region B, and the same image processing is performed, or the different parameters are applied to the image data of the region A and the region B to perform different image processing. You can do it.

  In the case where a plurality of image processing units 33 are provided, image processing is performed by one image processing unit on image data to which the first imaging condition is applied, and other is performed on image data to which the second imaging condition is applied. The image processing unit may perform image processing. The number of image processing units is not limited to the above two, and for example, the same number as the number of imaging conditions that can be set may be provided. That is, each image processing unit takes charge of image processing for each region to which different imaging conditions are applied. According to the modified example 6, it is possible to proceed in parallel with imaging under different imaging conditions for each area and image processing for image data of an image obtained for each area.

(Modification 7)
In the above description, the camera 1 has been described as an example. However, a high-function mobile phone 250 (FIG. 14) having a camera function like a smartphone or a mobile device such as a tablet terminal may be used.

(Modification 8)
In the above-described embodiment, the camera 1 in which the imaging unit 32 and the control unit 34 are configured as a single electronic device has been described as an example. Instead, for example, the imaging unit 1 and the control unit 34 may be provided separately, and the imaging system 1B that controls the imaging unit 32 from the control unit 34 via communication may be configured.
Hereinafter, an example in which the imaging device 1001 including the imaging unit 32 is controlled from the control device 1002 including the control unit 34 will be described with reference to FIG.

  FIG. 17 is a block diagram illustrating the configuration of an imaging system 1B according to Modification 8. In FIG. 17, the imaging system 1 </ b> B includes an imaging device 1001 and a display device 1002. The imaging device 1001 includes a first communication unit 1003 in addition to the imaging optical system 31 and the imaging unit 32 described in the above embodiment. The display device 1002 includes a second communication unit 1004 in addition to the image processing unit 33, the control unit 34, the display unit 35, the operation member 36, and the recording unit 37 described in the above embodiment.

The first communication unit 1003 and the second communication unit 1004 can perform bidirectional image data communication using, for example, a well-known wireless communication technology or optical communication technology.
Note that the imaging device 1001 and the display device 1002 may be connected by a wired cable, and the first communication unit 1003 and the second communication unit 1004 may perform bidirectional image data communication.

  In the imaging system 1B, the control unit 34 controls the imaging unit 32 by performing data communication via the second communication unit 1004 and the first communication unit 1003. For example, by transmitting and receiving predetermined control data between the imaging device 1001 and the display device 1002, the display device 1002 divides the screen into a plurality of regions based on the images as described above, or the divided regions. A different imaging condition is set for each area, or a photoelectric conversion signal photoelectrically converted in each area is read out.

According to the modified example 8, since the live view image acquired on the imaging device 1001 side and transmitted to the display device 1002 is displayed on the display unit 35 of the display device 1002, the user is positioned away from the imaging device 1001. Remote control can be performed from a certain display device 1002.
The display device 1002 can be configured by a high-function mobile phone 250 such as a smartphone, for example. In addition, the imaging device 1001 can be configured by an electronic device including the above-described stacked imaging element 100.
In addition, although the example which provides the control part 34 of the display apparatus 1002 with the object detection part 34a, the setting part 34b, the imaging control part 34c, and the AF calculating part 34d was demonstrated, the object detection part 34a, the setting part 34b, and imaging A part of the control unit 34c and the AF calculation unit 34d may be provided in the imaging apparatus 1001.

(Modification 9)
The program is supplied to the mobile device such as the camera 1, the high-function mobile phone 250, or the tablet terminal as described above by, for example, infrared communication or short-range wireless communication from the personal computer 205 storing the program as illustrated in FIG. 18. Can be sent to mobile devices.

  The program may be supplied to the personal computer 205 by setting a recording medium 204 such as a CD-ROM storing the program in the personal computer 205 or by a method via the communication line 201 such as a network. You may load. When passing through the communication line 201, the program is stored in the storage device 203 of the server 202 connected to the communication line.

  In addition, the program can be directly transmitted to the mobile device via a wireless LAN access point (not shown) connected to the communication line 201. Further, a recording medium 204B such as a memory card storing the program may be set in the mobile device. Thus, the program can be supplied as various forms of computer program products, such as provision via a recording medium or a communication line.

(Third embodiment)
With reference to FIGS. 19 to 25, a digital camera will be described as an example of an electronic apparatus equipped with the image processing apparatus according to the third embodiment. In the following description, the same components as those in the first or second embodiment are denoted by the same reference numerals, and different points will be mainly described. Points that are not particularly described are the same as those in the first or second embodiment. In the present embodiment, instead of providing the image processing unit 33 of the first embodiment, the image processing unit 32A has an image processing unit 32c having the same function as the image processing unit 33 of the first embodiment. Is different from the first embodiment in that

  FIG. 19 is a block diagram illustrating the configuration of a camera 1C according to the third embodiment. In FIG. 19, the camera 1 </ b> C includes an imaging optical system 31, an imaging unit 32 </ b> A, a control unit 34, a display unit 35, an operation member 36, and a recording unit 37. The imaging unit 32A further includes an image processing unit 32c having the same function as the image processing unit 33 of the first embodiment.

  The image processing unit 32 c includes an input unit 321, a selection unit 322, and a generation unit 323. Image data from the image sensor 32 a is input to the input unit 321. The selection unit 322 performs preprocessing on the input image data. The preprocessing performed by the selection unit 322 is the same as the preprocessing performed by the selection unit 33b in the first embodiment. The generation unit 323 performs image processing on the input image data and the pre-processed image data to generate an image. The image processing performed by the generation unit 323 is the same as the image processing performed by the generation unit 33c in the first embodiment.

  FIG. 20 is a diagram schematically illustrating the correspondence between each block and a plurality of selection units 322 in the present embodiment. In FIG. 20, one square of the imaging chip 111 represented by a rectangle represents one block 111a. Similarly, one square of an image processing chip 114 described later represented by a rectangle represents one selection unit 322.

In the present embodiment, the selection unit 322 is provided corresponding to each block 111a. In other words, the selection unit 322 is provided for each block, which is the minimum unit of the area where the imaging condition can be changed on the imaging surface. For example, in FIG. 20, the hatched block 111a and the hatched selection unit 322 are in a correspondence relationship. In FIG. 20, the hatched selection unit 322 performs preprocessing on image data from pixels included in the hatched block 111a. Each selection unit 322 performs preprocessing on image data from pixels included in the corresponding block 111a.
As a result, the preprocessing of the image data can be processed in parallel by the plurality of selection units 322, so that the processing burden on the selection unit 322 can be reduced, and an appropriate image can be quickly generated from the image data generated in each region with different imaging conditions. Can be generated.
In the following description, when a relationship between a certain block 111a and a pixel included in the block 111a is described, the block 111a may be referred to as a block 111a to which the pixel belongs. The block 111a may be referred to as a unit section, and a plurality of blocks 111a, that is, a plurality of unit sections may be referred to as a composite section.

FIG. 21 is a cross-sectional view of the multilayer imaging element 100A. The multilayer imaging element 100A further includes an image processing chip 114 that performs the above-described preprocessing and image processing in addition to the backside illumination imaging chip 111, the signal processing chip 112, and the memory chip 113. That is, the above-described image processing unit 32c is provided in the image processing chip 114.
The imaging chip 111, the signal processing chip 112, the memory chip 113, and the image processing chip 114 are stacked, and are electrically connected to each other by a conductive bump 109 such as Cu.

  A plurality of bumps 109 are arranged on the mutually facing surfaces of the memory chip 113 and the image processing chip 114. The bumps 109 are aligned with each other, and the memory chip 113 and the image processing chip 114 are pressurized, so that the aligned bumps 109 are joined and electrically connected.

<Data selection process>
Similar to the first embodiment, in the second embodiment, after the region of the imaging screen is divided by the setting unit 34b, the region selected by the user or the region determined by the control unit 34 is determined. The imaging condition can be set (changed). When different imaging conditions are set in the divided areas, the control unit 34 causes the selection unit 322 to perform the following data selection processing as necessary.

1. When performing image processing 1-1. When the imaging conditions of the target pixel P and the imaging conditions of a plurality of reference pixels around the target pixel P are the same In this case, the selection unit 322 selects all the image data of the plurality of reference pixels and sends the generation unit 323. Output. The generation unit 323 performs image processing using image data of a plurality of reference pixels.

1-2. When the imaging condition of the target pixel P is different from the imaging condition of at least one reference pixel among a plurality of reference pixels around the target pixel P, the imaging condition applied in the target pixel P is set as the first imaging condition, The imaging conditions applied to a part of the reference pixels are the first imaging conditions, and the imaging conditions applied to the remaining reference pixels are the second imaging conditions.
In this case, the selection unit 322 corresponding to the block 111a to which the reference pixel to which the first imaging condition is applied belongs, and the selection unit 322 corresponding to the block 111a to which the reference pixel to which the second imaging condition is applied are referred to Data selection processing is performed on pixel image data as in (Example 1) to (Example 3) below. Then, the generation unit 323 performs image processing for calculating the image data of the target pixel P with reference to the image data of the reference pixel after the data selection processing.

(Example 1)
For example, it is assumed that only the ISO sensitivity differs between the first imaging condition and the second imaging condition, the ISO sensitivity of the first imaging condition is 100, and the ISO sensitivity of the second imaging condition is 800. In this case, the selection unit 322 corresponding to the block 111a to which the reference pixel to which the first imaging condition is applied belongs selects image data of the first imaging condition. However, the selection unit 322 corresponding to the block 111a to which the reference pixel to which the second imaging condition is applied belongs does not select the image data of the second imaging condition. That is, image data with a second imaging condition different from the first imaging condition is not used for image processing.

(Example 2)
For example, only the shutter speed is different between the first imaging condition and the second imaging condition, the shutter speed of the first imaging condition is 1/1000 second, and the shutter speed of the second imaging condition is 1/100 second. And In this case, the selection unit 322 corresponding to the block 111a to which the reference pixel to which the first imaging condition is applied belongs selects image data of the first imaging condition. However, the selection unit 322 corresponding to the block 111a to which the reference pixel to which the second imaging condition is applied belongs does not select the image data of the second imaging condition. That is, image data with a second imaging condition different from the first imaging condition is not used for image processing.

(Example 3)
For example, only the frame rate is different between the first imaging condition and the second imaging condition (the charge accumulation time is the same), the frame rate of the first imaging condition is 30 fps, and the frame rate of the second imaging condition is 60 fps. Suppose there is. In this case, the selection unit 322 corresponding to the block 111a to which the reference pixel to which the first imaging condition is applied belongs selects the image data of the pixel of the first imaging condition. In addition, the selection unit 322 corresponding to the block 111a to which the reference pixel to which the second imaging condition is applied belongs to the first imaging condition (30 fps) for the image data of the second imaging condition (60 fps) in the image data of the reference pixel. The image data of the frame image acquired at the same timing as the frame image acquired in (1) is selected. That is, of the image data of the reference pixels, the frame image of the first imaging condition (30 fps) is used for image processing, and the frame image of the first imaging condition (30 fps) is used for image processing. The image data of frame images having different values are not used for image processing.

  The same applies when the imaging condition applied at the target pixel P is the second imaging condition and the imaging condition applied at the reference pixels around the target pixel P is the first imaging condition. That is, in this case, the selection unit 322 corresponding to the block 111a to which the reference pixel to which the first imaging condition is applied belongs, and the selection unit 322 to which the reference pixel to which the reference pixel to which the second imaging condition is applied belong. Then, the data selection process is performed on the image data of the reference pixel as in (Example 1) to (Example 3) described above.

  As described above, even if there are some differences in the imaging conditions, the imaging conditions are regarded as the same.

  The generation unit 323, based on the image data of the reference pixel selected by the selection unit 322, similar to the image processing unit 33 (generation unit 33c) in the first embodiment, pixel defect correction processing, color interpolation processing, Image processing such as contour enhancement processing and noise reduction processing is performed.

  FIG. 22 illustrates image data (hereinafter referred to as first image data) from each pixel included in a partial area (hereinafter referred to as first area 141) of the imaging surface to which the first imaging condition is applied, The processing with image data (hereinafter referred to as second image data) from each pixel included in a partial area (hereinafter referred to as second area 142) of the imaging surface to which the two imaging conditions are applied is schematically illustrated. FIG. FIG. 22 is a diagram illustrating a case where the imaging condition applied to the pixel of interest P is the first imaging condition in the above (Example 1) and (Example 2).

The first image data captured under the first imaging condition is output from each pixel included in the first area 141, and the first image data captured under the second imaging condition is output from each pixel included in the second area 142. Two image data are respectively output. The first image data is output to the selection unit 322 corresponding to the block 111a to which the pixel that generated the first image data belongs among the plurality of selection units 322 provided in the processing chip 114. In the following description, the plurality of selection units 322 respectively corresponding to the plurality of blocks 111a to which the pixels that generate the respective first image data belong are referred to as first selection units 151.
Similarly, the second image data is output to the selection unit 322 corresponding to the block 111a to which each pixel that generated the second image data belongs among the plurality of selection units 322 provided in the processing chip 114. In the following description, the plurality of selection units 322 respectively corresponding to the plurality of blocks 111a to which the pixels that generate the respective second image data belong are referred to as second selection units 152.

For example, when the target pixel P is included in the first region 141, the first selection unit 151 selects the image data of the target pixel P and the image data of the reference pixel imaged under the first imaging condition, and then goes to the generation unit 323. Output. Here, the selection unit 322 selects image data from the same block, but may use image data of another block imaged under the first imaging condition. At this time, if the selection unit 322 to which the target pixel P is input and the selection unit 322 of another block imaged under the first imaging condition transmit and receive information 181 about the first imaging condition necessary for the data selection process. Good. On the other hand, the second selection unit 152 does not select the image data of the reference pixel imaged under the second imaging condition, and does not output the image data of the reference pixel imaged under the second imaging condition to the generation unit 323. Note that the second selection unit 152 receives information 181 about the first imaging condition necessary for the data selection process from the first selection unit 151, for example.
Similarly, for example, when the target pixel P is included in the second region, the second selection unit 152 selects the image data of the target pixel P and the image data of the reference pixel captured under the second imaging condition, and generates the unit. To H.323. On the other hand, the first selection unit 151 does not select the image data of the reference pixel imaged under the first imaging condition, and does not output the image data of the reference pixel imaged under the first imaging condition to the generation unit 323. The first selection unit 151 receives information about the second imaging condition necessary for the data selection process from the second selection unit 152, for example.

  After the above-described preprocessing, the generation unit 323 performs pixel defect correction processing, color interpolation processing, edge enhancement processing, noise reduction processing, and the like based on the image data from the first selection unit 151 and the second selection unit 152. Image processing is performed, and image data after image processing is output.

2. When performing focus detection processing As in the first embodiment, the control unit 34 (AF calculation unit 34d) performs focus detection processing using image data corresponding to a predetermined position (focus detection position) on the imaging screen. . Note that when different imaging conditions are set for the divided areas and the focus detection position of the AF operation is located at the boundary portion of the divided areas, that is, the focus detection positions are 2 in the first area and the second area. In the present embodiment, the following 2-2. As will be described, the control unit 34 (AF calculation unit 34d) causes the selection unit 322 to perform data selection processing.

2-1. When the focus detection signal data to which the first imaging condition is applied and the focus detection signal data are not mixed with the image data from the pixels in the frame 170 in FIG. 13 in this case. The unit 322 selects all the focus detection signal data from the pixels in the frame 170 and outputs the selected signal data to the generation unit 323. The control unit 34 (AF calculation unit 34d) performs focus detection processing using the signal data for focus detection by the focus detection pixels indicated by the frame 170.

2-2. The focus detection signal data to which the first imaging condition is applied and the focus detection signal data to which the second imaging condition is applied are mixed in the focus detection signal data from the pixels in the frame 170 in FIG. In this case, the control unit 34 (AF calculation unit 34d) performs data as in the following (Example 1) to (Example 3) for the selection unit 322 corresponding to the block 111a to which the pixel in the frame 170 belongs. Let the selection process be performed. Then, the control unit 34 (AF calculation unit 34d) performs a focus detection process using the focus detection signal data after the data selection process.

(Example 1)
For example, it is assumed that only the ISO sensitivity differs between the first imaging condition and the second imaging condition, the ISO sensitivity of the first imaging condition is 100, and the ISO sensitivity of the second imaging condition is 800. In this case, the selection unit 322 corresponding to the block 111a to which the pixel to which the first imaging condition is applied belongs selects signal data for focus detection under the first imaging condition. Then, the selection unit 322 corresponding to the block 111a to which the pixel to which the second imaging condition is applied belongs does not select signal data for focus detection under the second imaging condition. That is, out of the focus detection signal data from the pixels in the frame 170, the focus detection signal data of the first imaging condition is used for focus detection processing, and the image data of the second imaging condition different from the first imaging condition is used. Not used for focus detection processing.

(Example 2)
For example, only the shutter speed is different between the first imaging condition and the second imaging condition, the shutter speed of the first imaging condition is 1/1000 second, and the shutter speed of the second imaging condition is 1/100 second. And In this case, the selection unit 322 corresponding to the block 111a to which the pixel to which the first imaging condition is applied belongs selects signal data for focus detection under the first imaging condition. Then, the selection unit 322 corresponding to the block 111a to which the pixel to which the second imaging condition is applied belongs does not select signal data for focus detection under the second imaging condition. That is, out of the focus detection signal data from the pixels in the frame 170, the focus detection signal data of the first imaging condition is used for focus detection processing, and the focus detection of the second imaging condition different from the first imaging condition is used. Are not used for focus detection processing.

(Example 3)
For example, only the frame rate is different between the first imaging condition and the second imaging condition (the charge accumulation time is the same), the frame rate of the first imaging condition is 30 fps, and the frame rate of the second imaging condition is 60 fps. Suppose there is. In this case, the selection unit 322 corresponding to the block 111a to which the pixel to which the first imaging condition is applied belongs selects signal data for focus detection of the pixel under the first imaging condition. In addition, the selection unit 322 corresponding to the block 111a to which the pixel to which the second imaging condition is applied belongs, acquires image data of the second imaging condition (60 fps) and a frame image acquired under the first imaging condition (30 fps). Signal data for focus detection of a frame image with close timing is selected. That is, out of the focus detection signal data under the second imaging condition (60 fps), the focus detection signal data of the frame image having the acquisition timing close to the frame image under the first imaging condition (30 fps) is used for the focus detection process. The signal data for focus detection of the frame image having a different acquisition timing from the frame image of the first imaging condition (30 fps) is not used for the focus detection process.

As described above, even if there are some differences in the imaging conditions, the imaging conditions are regarded as the same.
In the above (Example 1) and (Example 2), the example in which the focus detection signal data of the first imaging condition is selected from the focus detection signal data surrounded by the frame 170 has been described. You may make it select the signal data for focus detection of the 2nd imaging condition among the signal data for focus detection.
In addition, when the focus detection position is divided into the first and second regions and the area of the first region is larger than the area of the second region, the image data of the first imaging condition is selected, and conversely, When the area of the two regions is larger than the area of the first region, it is desirable to select image data under the second imaging condition.

FIG. 23 is a diagram schematically illustrating processing of the first signal data and the second signal data according to the focus detection processing. In FIG. 23, in the above (Example 3), the focus detection signal data under the first imaging condition is selected from the signal data generated from the region surrounded by the frame 170, and the focus detection signal under the second imaging condition. It is a figure explaining the case where data is selected.
From each pixel included in the first region 141, first signal data for focus detection imaged under the first imaging condition is output, and from each pixel included in the second region 142, imaging is performed under the second imaging condition. The focused second signal data for focus detection is output. The first signal data from the first region 141 is output to the first selection unit 151. Similarly, the second signal data from the second region 142 is output to the second selection unit 152.
The first processing unit 151 selects the first signal data of the first imaging condition and outputs it to the AF calculation unit 34d. The second processing unit 152 selects the second signal data of the second imaging condition and outputs it to the AF calculation unit 34d.
After the above-described preprocessing, the AF calculation unit 34d calculates the first defocus amount from the first signal data from the first processing unit 151. Further, the AF calculation unit 34d calculates a second defocus amount from the second signal data from the first processing unit 151. Then, the AF calculation unit 34d outputs a drive signal for moving the focus lens of the imaging optical system 31 to the in-focus position using the first defocus amount and the second defocus amount.

  As in the above (Example 1) and (Example 2), the focus detection signal data under the first imaging condition is selected from the signal data in the region surrounded by the frame 170, and the focus detection signal under the second imaging condition. When no data is selected, the first signal data and the second signal data are processed as follows.

  For example, when the focus detection process is performed using the first signal data of the first imaging condition, the first processing unit 151 selects the first signal data of the first imaging condition and outputs the first signal data to the generation unit 323. The second processing unit 152 does not select the second signal data of the second imaging condition, and does not output the second signal data of the reference pixel imaged under the second imaging condition to the generation unit 323. Note that the second processing unit 152 receives, for example, information 181 about the first imaging condition necessary for the data selection process from the first processing unit 151.

  After the above preprocessing, the AF calculation unit 34d performs focus detection processing based on the first signal data from the first processing unit 151, and focuses the focus lens of the imaging optical system 31 based on the calculation result. A drive signal for moving to a position is output.

Here, an example will be described in which the subject to be focused is located across an area where the first imaging condition is set and an area where the second imaging condition is set. When the subject to be focused is located across the area where the first imaging condition is set and the area where the second imaging condition is set, it corresponds to the block 111a to which the pixel to which the first imaging condition is applied belongs. The selection unit 322 selects first signal data for focus detection under the first imaging condition. Furthermore, the selection unit 322 corresponding to the block 111a to which the pixel to which the second imaging condition is applied belongs selects the second signal data for focus detection under the second imaging condition. Then, the control unit 34 (AF calculation unit 34d) calculates a first defocus amount from the selected first signal data for focus detection. Further, the control unit 34 (AF calculation unit 34d) calculates a second defocus amount from the selected second signal data for focus detection. Then, the control unit 34 (AF calculation unit 34d) performs a focus detection process using the first defocus amount and the second defocus amount. Specifically, for example, the control unit 34 (AF calculation unit 34d) calculates the average of the first defocus amount and the second defocus amount, and calculates the lens movement distance. Further, the control unit 34 (AF calculation unit 34d) may select a value having a smaller lens moving distance from the first defocus amount and the second defocus amount. The control unit 34 (AF calculation unit 34d) may select a value indicating that the subject is closer to the near side from the first defocus amount and the second defocus amount.
When the subject to be focused is located across the area where the first imaging condition is set and the area where the second imaging condition is set, the control unit 34 (AF calculating unit 34d) A region having a larger area may be selected and a photoelectric conversion signal for focus detection may be selected. For example, when the area of the face of the subject to be focused is 70% in the region where the first imaging condition is set and 30% in the second region, the control unit 34 (AF calculation unit 34d) A photoelectric conversion signal for focus detection under imaging conditions is selected. The ratio (percentage) to the area described above is an example, and the present invention is not limited to this.

3. When Subject Detection Processing is Performed A case will be described in which different imaging conditions are set for the divided areas and the search range 190 includes the boundaries of the divided areas.

3-1. When the image data to which the first imaging condition is applied and the image data to which the second imaging condition is applied are not mixed in the image data in the search range 190 in FIG. 14. In this case, the selection unit 322 starts from the pixels in the search range 190. Are selected and output to the generation unit 323. The control unit 34 (AF calculation unit 34d) performs subject detection processing using image data from pixels in the search range 190.

3-2. When image data to which the first imaging condition is applied and image data to which the second imaging condition is applied are mixed in the image data in the search range 190 in FIG. 14 (a) When the focus detection process described above is performed (example) As in 1) and (Example 2), when only the ISO sensitivity is different between the first imaging condition and the second imaging condition, or only the shutter speed is different between the first imaging condition and the second imaging condition In this case, as illustrated in FIG. 24, the control unit 34 (object detection unit 34a) performs the selection on the selection unit 322 (first selection unit 151) corresponding to the block 111a to which the pixel to which the first imaging condition is applied belongs. Then, the image data of the first imaging condition used for the subject detection process is selected from the image data in the search range 190. FIG. 24 is a diagram schematically showing processing of the first image data and the second image data related to the subject detection processing.
Then, the control unit 34 (object detection unit 34a) performs subject detection processing using the image data after the data selection processing.
In addition, the control unit 34 (object detection unit 34a) determines from the image data in the search range 190 to the selection unit 322 (second selection unit 152) corresponding to the block 111a to which the pixel to which the second imaging condition is applied belongs. The image data of the second imaging condition used for the subject detection process is selected. Then, the control unit 34 (object detection unit 34a) performs subject detection processing using the image data after the data selection processing. Then, the control unit 34 (the object detection unit 34a) searches by aligning the boundary between the subject area detected from the image data of the first imaging condition and the subject area detected from the image data of the second imaging condition. Subject detection within the range 190 can be detected.

(B) In the case where only the frame rate is different between the first imaging condition and the second imaging condition as in the case of performing the focus detection process described above (Example 3). In this case, the control unit 34 (object detection unit 34a) The image of the first imaging condition used for subject detection processing from the image data in the search range 190 to the selection unit 322 (first selection unit 151) corresponding to the block 111a to which the pixel to which the first imaging condition is applied belongs. Let the data be selected. Then, the control unit 34 (object detection unit 34a) performs subject detection processing using the image data after the data selection processing. In addition, the control unit 34 (the object detection unit 34a) sends the image data in the search range 190 to the selection unit 322 (second selection unit 152) corresponding to the block 111a to which the pixel to which the second imaging condition is applied belongs. Then, only the image data of the frame image acquired at the first imaging condition (30 fps) and the frame image close to the acquisition timing is selected as the image data of the second imaging condition (60 fps) used for the subject detection process. Then, the control unit 34 (object detection unit 34a) performs subject detection processing using the image data after the data selection processing. Then, the control unit 34 detects the subject within the search range 190 by matching the boundary between the subject area detected from the image data of the first imaging condition and the subject area detected from the image data of the second imaging condition. Can be detected.

  In addition, when the search range 190 is divided into the first and second regions and the area of the first region is larger than the area of the second region, the image data of the first imaging condition is selected and the second imaging condition is selected. The image data may not be selected. Further, when the area of the second region is larger than the area of the first region, the image data of the second imaging condition may be selected and the image data of the first imaging condition may not be selected.

4). Case of Setting Imaging Conditions A case will be described in which an area of the imaging screen is divided, and different exposure conditions are set between the divided areas, and the exposure conditions are determined by performing new photometry.

4-1. When the image data to which the first imaging condition is applied and the image data to which the second imaging condition is applied are not mixed with the image data in the photometric range In this case, the selection unit 322 selects all the image data from the pixels in the photometric range. Select and output to the generation unit 323. The control unit 34 (setting unit 34b) performs exposure calculation processing using image data from the pixels constituting the photometric range.

4-2. When image data to which the first imaging condition is applied and image data to which the second imaging condition is applied are mixed in the image data in the photometric range (a) When the focus detection process described above is performed (Example 1), ( As in Example 2), when only the ISO sensitivity is different between the first imaging condition and the second imaging condition, or only the shutter speed is different between the first imaging condition and the second imaging condition. As shown in FIG. 25, the control unit 34 (object detection unit 34a) selects a block corresponding to the block 111a to which the pixel to which the first imaging condition is applied belongs, similarly to (a) in the case of performing the subject detection process described above. The unit 322 causes the image data of the first imaging condition used for the exposure calculation processing to be selected from the image data of the photometric range. In addition, the control unit 34 (the object detection unit 34a) performs, for the selection unit 322 corresponding to the block 111a to which the pixel to which the second imaging condition is applied, the second imaging used for exposure calculation processing from image data in the photometric range. The image data of the condition is selected. FIG. 25 is a diagram schematically illustrating processing of the first image data and the second image data related to setting of imaging conditions such as exposure calculation processing.
Then, the control unit 34 (setting unit 34b) performs an exposure calculation process for each of the area where the first imaging condition is set and the area where the second imaging condition is set using the image data after the data selection process. . As described above, when there are a plurality of regions having different imaging conditions in the photometric range, the control unit 34 (setting unit 34b) performs the data selection processing for measuring each region, and performs the data selection processing. Exposure calculation processing is performed using the image data.

(B) In the case where only the frame rate is different between the first imaging condition and the second imaging condition as in the case of performing the focus detection process described above (Example 3). In this case, the control unit 34 (object detection unit 34a) Is used for exposure calculation processing from image data in the photometric range to the selection unit 322 corresponding to the block 111a to which the pixel to which the first imaging condition is applied belongs, as in (b) in the case of subject detection processing. The image data of the first imaging condition is selected. Further, the control unit 34 (the object detection unit 34a) performs the selection unit 322 corresponding to the block 111a to which the pixel to which the second imaging condition is applied belongs, as in the case of performing the focus detection process described above (Example 3). On the other hand, only the image data of the frame image acquired at the first imaging condition (30 fps) as the image data of the second imaging condition (60 fps) used for the exposure calculation process from the image data in the photometric range is close to the frame image. To select.
And the control part 34 (setting part 34b) performs an exposure calculation process using the image data after a data selection process similarly to the case of (a) mentioned above.

  In addition, when the photometric range is divided into the first and second regions and the area of the first region is larger than the area of the second region, the image data of the first imaging condition is selected and the second imaging condition The image data may not be selected. Further, when the area of the second region is larger than the area of the first region, the image data of the second imaging condition may be selected and the image data of the first imaging condition may not be selected.

According to the third embodiment described above, the following operational effects can be obtained.
(1) The camera 1C is capable of imaging by changing the imaging condition for each unit section of the imaging surface, and the first image data from the first region composed of at least one unit section captured under the first imaging condition; An image sensor 32a is provided that generates second image data from a second region composed of at least one unit segment imaged under a second imaging condition different from the first imaging condition. The camera 1C is provided corresponding to each unit section or each composite section having a plurality of unit sections, and a plurality of selections for selecting or not selecting image data from the corresponding unit section or the unit section in the corresponding composite section Part 322. The imaging element 32a is provided in the backside illumination type imaging chip 111. The plurality of selection units 322 are provided in the image processing chip 114.
As a result, data selection processing of image data can be performed in parallel by the plurality of selection units 322, so that the processing burden on the selection unit 322 can be reduced.

(2) The backside illumination type imaging chip 111 and the image processing chip 114 are stacked. Thereby, the image pick-up element 32a and the image process part 32c can be connected easily.

(3) The camera 1 </ b> C includes a generation unit 323 that generates an image based on the selected image data selected by the selection unit 322. Thereby, since the pre-processing by the plurality of selection units 322 is performed in a short time by parallel processing, the time until the image is generated can be shortened.

(4) The camera 1 </ b> C is capable of imaging by changing the imaging condition for each unit section of the imaging surface, and includes at least one unit section that captures an optical image incident through the imaging optical system under the first imaging condition. Generating first image data from the first region and second image data from the second region composed of at least one unit section obtained by capturing an incident light image under a second image capturing condition different from the first image capturing condition; An image sensor 32a is provided. The camera 1C is provided corresponding to each unit section or each composite section having a plurality of unit sections, and a plurality of selections for selecting or not selecting image data from the corresponding unit section or the unit section in the corresponding composite section Part 322. The camera 1C includes an AF calculation unit 34d that detects information for moving the imaging optical system based on the selected image data selected. The imaging element 32a is provided in the backside illumination type imaging chip 111. The plurality of correction units 322 are provided in the image processing chip 114.
As a result, the data selection processing of the image data can be performed in parallel by the plurality of selection units 322, so that the processing burden on the selection unit 322 can be reduced and the preprocessing by the plurality of selection units 322 can be performed in a short time by parallel processing. The time until the start of the focus detection process in the AF calculation unit 34d can be shortened, which contributes to speeding up of the focus detection process.

(5) The camera 1C is capable of imaging by changing the imaging condition for each unit section of the imaging surface, and includes at least one unit section that captures the subject image incident through the imaging optical system under the first imaging condition. Generating first image data from the first region and second image data from the second region composed of at least one unit section obtained by capturing an incident subject image under a second image capturing condition different from the first image capturing condition; An image sensor 32a is provided. The camera 1C is provided corresponding to each unit section or each composite section having a plurality of unit sections, and a plurality of selections for selecting or not selecting image data from the corresponding unit section or the unit section in the corresponding composite section Part 322. The camera 1 </ b> C includes an object detection unit 34 a that detects a target object from a subject image based on selected selected image data. The imaging element 32a is provided in the backside illumination type imaging chip 111. The plurality of correction units 322 are provided in the image processing chip 114.
As a result, the data selection processing of the image data can be performed in parallel by the plurality of selection units 322, so that the processing burden on the selection unit 322 can be reduced and the preprocessing by the plurality of selection units 322 can be performed in a short time by parallel processing. The time until the start of the subject detection process in the object detection unit 34a can be shortened, which contributes to the speedup of the subject detection process.

(6) The camera 1 </ b> C is capable of imaging by changing the imaging condition for each unit section of the imaging surface, and includes at least one unit section that captures an optical image incident through the imaging optical system under the first imaging condition. Generating first image data from the first region and second image data from the second region composed of at least one unit section obtained by imaging an incident light image under a second imaging condition different from the first imaging condition; An image sensor 32a is provided. The camera 1C is provided corresponding to each unit section or each composite section having a plurality of unit sections, and a plurality of selections for selecting or not selecting image data from the corresponding unit section or the unit section in the corresponding composite section Part 322. The camera 1C includes a setting unit 34b that sets shooting conditions based on the selected image data selected. The imaging element 32a is provided in the backside illumination type imaging chip 111. The plurality of correction units 322 are provided in the image processing chip 114.
As a result, the data selection processing of the image data can be performed in parallel by the plurality of selection units 322, so that the processing burden on the selection unit 322 can be reduced and the preprocessing by the plurality of selection units 322 can be performed in a short time by parallel processing. Thus, it is possible to shorten the time required to start the imaging condition setting process in the setting unit 34b, which contributes to speeding up of the imaging condition setting process.

(Modification of the third embodiment)
The following modifications are also within the scope of the present invention, and one or a plurality of modifications can be combined with the above-described embodiment.
(Modification 10)
As shown in FIGS. 16A to 16C in Modification 1 of the first and second embodiments, the first region and the second region are arranged on the imaging surface of the imaging device 32a. Processing of the 1 image data and the 2nd image data will be described.
Also in this modified example, as in the modified example 1, in any of the cases of FIGS. 16A to 16C, the first region is determined by the pixel signal read from the imaging element 32a that has captured one frame. A first image based on the image signal read from the second image and a second image based on the image signal read from the second region are respectively generated. Also in this modification, as in Modification 1, the control unit 34 uses the first image for display and the second image for detection.
It is assumed that a first imaging condition is set for the first area for capturing the first image, and a second imaging condition different from the first imaging condition is set for the second area for capturing the second image.

1. As an example, a case where the first imaging condition is the same for the entire first area of the imaging screen and the second imaging condition is the same for the entire second area of the imaging screen will be described with reference to FIG. FIG. 26 is a diagram schematically illustrating processing of the first image data and the second image data.

  The first image data captured under the first imaging condition is output from each pixel included in the first area 141, and the second image captured under the second imaging condition is output from each pixel included in the second area 142. Image data and second signal data are output. The first image data from the first area 141 is output to the first selection unit 151. Similarly, the second image data and the second signal data from the second region 142 are output to the second selection unit 152.

In this example, since the first imaging condition is the same for the entire first area of the imaging screen, the first selection unit 151 selects all the first image data from each pixel in the first area. Further, since the second imaging condition is the same for the entire second area of the imaging screen, the second selection unit 152 selects all second image data from each pixel in the second area. Since the first imaging condition and the second imaging condition are different, the second selection unit 152 does not select the second image data as data for image processing of the image data in the first area.
In addition, the second selection unit 152 receives information 181 about the first imaging condition from, for example, the first selection unit 151.

The generation unit 323 performs image processing such as pixel defect correction processing, color interpolation processing, contour enhancement processing, and noise reduction processing based on the first image data from the first selection unit 151, and the image data after the image processing Is output.
The object detection unit 34a performs processing for detecting a subject element based on the second image data from the second selection unit 152, and outputs a detection result.
The setting unit 34b performs imaging condition calculation processing such as exposure calculation processing based on the second image data from the second selection unit 152, and based on the calculation result, the imaging screen by the imaging unit 32 is detected. While dividing into the several area | region containing an element, an imaging condition is reset with respect to a several area | region.
The AF calculation unit 34d performs focus detection processing based on the second signal data from the second selection unit 152, and drives for moving the focus lens of the imaging optical system 31 to the in-focus position based on the calculation result. Output a signal.

2. As another example, the first imaging condition varies depending on the area of the imaging screen, that is, the first imaging condition varies depending on the partial area in the first area, and the second imaging condition is the same throughout the second area of the imaging screen. A case will be described with reference to FIG. FIG. 27 is a diagram schematically illustrating processing of the first image data, the second image data, and the second signal data.

  The first image data captured under the first imaging condition is output from each pixel included in the first area 141, and the second image captured under the second imaging condition is output from each pixel included in the second area 142. Image data and second signal data are output. The first image data from the first area 141 is output to the first selection unit 151. Similarly, the second image data from the second region 142 is output to the second selection unit 152.

As described above, in this example, the first imaging condition differs depending on the area of the imaging screen. That is, the first imaging condition varies depending on the partial area in the first area. The first selection unit 151 selects only the first image data under a certain imaging condition from the first image data from each pixel in the first region, and does not select the first image data under other imaging conditions. Further, since the second imaging condition is the same for the entire second area of the imaging screen, the second selection unit 152 selects all second image data from each pixel in the second area. Since the first imaging condition and the second imaging condition are different, the second selection unit 152 does not select the second image data as data for image processing of the image data in the first area.
In addition, the second selection unit 152 receives information 181 about the first imaging condition from, for example, the first selection unit 151.

The generation unit 323 performs image processing such as pixel defect correction processing, color interpolation processing, contour enhancement processing, and noise reduction processing based on a part of the first image data selected by the first selection unit 151, and the image Output the processed image data.
The object detection unit 34a performs processing for detecting a subject element based on the second image data from the second selection unit 152, and outputs a detection result.
The setting unit 34b performs imaging condition calculation processing such as exposure calculation processing based on the second image data from the second selection unit 152, and based on the calculation result, the imaging screen by the imaging unit 32 is detected. While dividing into the several area | region containing an element, an imaging condition is reset with respect to a several area | region.
The AF calculation unit 34d performs focus detection processing based on the second signal data from the second selection unit 152, and drives for moving the focus lens of the imaging optical system 31 to the in-focus position based on the calculation result. Output a signal.

3. As another example, a case where the first imaging condition is the same in the entire first area of the imaging screen and the second imaging condition varies depending on the area of the imaging screen will be described with reference to FIG. FIG. 28 is a diagram schematically illustrating processing of the first image data and the second image data.

  From each pixel included in the first area 141, first image data captured under the same first imaging condition is output in the entire first area of the imaging screen, and from each pixel included in the second area 142. Second image data captured under different second imaging conditions depending on the area of the imaging screen is output. The first image data from the first area 141 is output to the first selection unit 151. Similarly, the second image data and the second signal data from the second region 142 are output to the second selection unit 152.

In this example, since the first imaging condition is the same for the entire first area of the imaging screen, the first selection unit 151 selects all the first image data from each pixel in the first area. Further, the second imaging condition varies depending on the area of the imaging screen. That is, the second imaging condition varies depending on the partial area in the second area. The second selection unit 152 selects only the second image data under a certain imaging condition from the second image data from each pixel in the second region, and does not select the second image data under other imaging conditions. Since the first imaging condition and the second imaging condition are different, the second selection unit 152 does not select the second image data as data for image processing of the image data in the first area.
In addition, the second selection unit 152 receives information 181 about the first imaging condition from, for example, the first selection unit 151.

The generation unit 323 performs image processing such as pixel defect correction processing, color interpolation processing, contour enhancement processing, and noise reduction processing based on the first image data from the first selection unit 151, and the image data after the image processing Is output.
The object detection unit 34a performs a process of detecting a subject element based on a part of the second image data selected by the second selection unit 152, and outputs a detection result.
The setting unit 34b performs an imaging condition calculation process such as an exposure calculation process based on part of the second image data selected by the second selection unit 152, and an imaging screen by the imaging unit 32 based on the calculation result. Are divided into a plurality of areas including the detected subject element, and the imaging conditions are reset for the plurality of areas.
The AF calculation unit 34d performs focus detection processing based on a part of the second signal data selected by the second selection unit 152, and based on the calculation result, the focus lens of the imaging optical system 31 is moved to the in-focus position. A drive signal for moving is output.

4). Furthermore, as another example, a case where the first imaging condition varies depending on the area of the imaging screen and the second imaging condition varies depending on the area of the imaging screen will be described with reference to FIG. FIG. 29 is a diagram schematically illustrating processing of the first image data, the second image data, and the second signal data.

  From each pixel included in the first area 141, first image data captured under a first imaging condition that varies depending on the area of the imaging screen is output. From each pixel included in the second area 142, an area on the imaging screen is output. The second image data and the second signal data captured under different second imaging conditions are output. The first image data from the first area 141 is output to the first selection unit 151. Similarly, the second image data and the second signal data from the second region 142 are output to the second selection unit 152.

As described above, in this example, the first imaging condition differs depending on the area of the imaging screen. That is, the first imaging condition varies depending on the partial area in the first area. The first selection unit 151 selects only the first image data under a certain imaging condition from the first image data from each pixel in the first region, and does not select the first image data under other imaging conditions. Further, the second imaging condition varies depending on the area of the imaging screen. That is, the second imaging condition varies depending on the partial area in the second area. The second selection unit 152 selects only the second image data under a certain imaging condition from the second image data from each pixel in the second region, and does not select the second image data under other imaging conditions. Since the first imaging condition and the second imaging condition are different, the second selection unit 152 does not select the second image data as data for image processing of the image data in the first area.
In addition, the second selection unit 152 receives information 181 about the first imaging condition from, for example, the first selection unit 151.

The generation unit 323 performs image processing such as pixel defect correction processing, color interpolation processing, contour enhancement processing, and noise reduction processing based on a part of the first image data selected by the first selection unit 151, and the image Output the processed image data.
The object detection unit 34a performs a process of detecting a subject element based on a part of the second image data selected by the second selection unit 152, and outputs a detection result.
The setting unit 34b performs an imaging condition calculation process such as an exposure calculation process based on part of the second image data selected by the second selection unit 152, and an imaging screen by the imaging unit 32 based on the calculation result. Are divided into a plurality of areas including the detected subject element, and the imaging conditions are reset for the plurality of areas.
The AF calculation unit 34d performs focus detection processing based on a part of the second signal data selected by the second selection unit 152, and based on the calculation result, the focus lens of the imaging optical system 31 is moved to the in-focus position. A drive signal for moving is output.

(Modification 11)
In the above-described third embodiment, one of the selection units 322 corresponds to one of the blocks 111a (unit division). However, one of the selection units 322 may correspond to one of the composite blocks (composite sections) having a plurality of blocks 111a (unit sections). In this case, the selection unit 322 sequentially performs data selection processing on image data from pixels belonging to the plurality of blocks 111a included in the composite block. Even if a plurality of selection units 322 are provided corresponding to each composite block having a plurality of blocks 111a, data selection processing of image data can be performed in parallel by the plurality of selection units 322, so that the processing burden on the selection unit 322 is increased. Thus, an appropriate image can be generated in a short time from the image data generated in each of the regions having different imaging conditions.

(Modification 12)
In the third embodiment described above, the generation unit 323 is provided inside the imaging unit 32A. However, the generation unit 323 may be provided outside the imaging unit 32A. Even if the generation unit 323 is provided outside the imaging unit 32A, the same operational effects as the above-described operational effects can be obtained.

(Modification 13)
In the above-described third embodiment, the multilayer imaging element 100A includes image processing that performs the above-described preprocessing and image processing in addition to the backside illumination imaging chip 111, the signal processing chip 112, and the memory chip 113. A chip 114 is further provided. However, the image processing chip 114 may be provided in the signal processing chip 112 without providing the image processing chip 114 in the multilayer imaging device 100A.
In addition, you may combine each embodiment and modification which were mentioned above, respectively.

  Although various embodiments and modifications have been described above, the present invention is not limited to these contents. Other embodiments conceivable within the scope of the technical idea of the present invention are also included in the scope of the present invention.

The above-described embodiments and modifications also include the following devices: (1) an imaging device having an imaging area for imaging a subject, a setting unit for setting imaging conditions of the imaging area, and for use in interpolation A selection unit that selects a pixel from pixels included in the imaging region, and a detection unit that detects a subject imaged in the imaging region using a signal interpolated by a signal output from the pixel selected by the selection unit The selection unit is an imaging device in which at least some of the pixels to be selected are different depending on the imaging condition set by the setting unit.
(2) In the imaging apparatus as in (1), the imaging element includes a first imaging area for imaging a subject and a second imaging area for imaging the subject, and the setting unit includes the first imaging area. An imaging condition for the imaging area and an imaging condition for the second imaging area are set, and the selection unit includes the pixels included in the first imaging area and the pixels included in the second imaging area. Depending on the imaging conditions of the second imaging area set by the setting unit, at least some of the pixels to be selected for use in interpolation of the pixels included in the first imaging area are made different, and the detection unit A subject imaged in the first imaging region is detected using a signal interpolated by a signal output from the pixel selected by the selection unit.
(3) In the imaging apparatus as in (2), the selection unit is configured to determine the first imaging region based on the imaging condition of the first imaging region and the imaging condition of the second imaging region set by the setting unit. At least some of the pixels to be selected for use in interpolation of the pixels included in are different.
(4) In the imaging device as in (2) or (3), the selection unit selects a pixel to be used for the interpolation from at least one of the first imaging region and the second imaging region.
(5) In the imaging device as in (4), the selection unit selects pixels in the second imaging region as pixels to be used for the interpolation according to the imaging conditions of the second imaging region set by the setting unit. select.
(6) In the imaging apparatus as in (2) to (5), the selection unit sets the first imaging condition when the setting unit sets the first imaging condition in the first imaging region and the second imaging region. 2. Select pixels included in the imaging area.
(7) In the imaging device as in (6), the selection unit is configured to use the first pixel as a pixel used for the interpolation based on a value related to exposure according to an imaging condition of the second imaging region set by the setting unit. 2. Select pixels in the imaging area.
(8) In the imaging apparatus as described in (7), the selection unit includes a value related to exposure according to the imaging condition of the first imaging region set by the setting unit and a value related to exposure based on the imaging condition of the second imaging region. Based on the above, the pixel of the second imaging region is selected as the pixel used for the interpolation.
(9) In the imaging device as in (8), the selection unit includes the number of exposure stages according to the imaging condition of the first imaging region set by the setting unit and the number of exposure stages according to the imaging condition of the second imaging region. When the difference between the two is 0.3 or less, the pixel in the second imaging region is selected as the pixel used for the interpolation.
(10) In the imaging device as in (2) to (9), the selection unit sets a first imaging condition in the first imaging region by the setting unit, and a second imaging condition in the second imaging region. Is set, the pixels included in the first imaging area are selected.
(11) In the imaging device as in (10), in the selection unit, the setting unit sets a first imaging condition in the first imaging region, and sets a second imaging condition in the second imaging region. Then, the pixels included in the first imaging area are selected without selecting the pixels in the second imaging area.
(12) In the imaging device as in (2) to (11), the selection unit is configured to interpolate the first pixel in the first imaging region, and to select the first pixel and the second imaging region. A third pixel in the first imaging region having a distance from the first pixel that is longer than a distance from the second pixel is selected.
(13) In the imaging devices as in (2) to (12), the selection unit has different numbers of pixels to be selected depending on the imaging conditions set in the second imaging region by the setting unit.
(14) In the imaging device as in (13), the selection unit sets a first imaging condition in the first imaging region and a second imaging condition in the second imaging region by the setting unit. Then, fewer pixels are selected than when the first imaging condition is set in the first imaging area and the second imaging area.
(15) a first imaging area set to image a subject under a first imaging condition, a second imaging area set to image a subject under a second imaging condition different from the first imaging condition; An imaging element having a third imaging region set to image a subject under a third imaging condition different from the second imaging condition, a pixel included in the second imaging region, and included in the third imaging region A selection unit that selects a pixel to be used for interpolation of a pixel included in the first imaging region, and a signal interpolated by a signal output from the pixel selected by the selection unit A generation unit that detects a subject imaged in the first imaging area.
(16) a first imaging area set to image a subject under the first imaging condition, a second imaging area set to image a subject under a second imaging condition different from the first imaging condition, A selection for selecting a pixel to be used for interpolation of a pixel included in the first imaging region from among an imaging device having a pixel, a pixel included in the first imaging region, and a pixel included in the second imaging region And a generation unit that detects a subject imaged in the first imaging region using a signal interpolated by a signal output from a pixel selected by the selection unit.
(17) An imaging device having a first imaging area for imaging a subject, a second imaging area for imaging the subject, and a third imaging area for imaging the subject, and imaging conditions of the first imaging area are set to the first The imaging condition is set, the imaging condition of the second imaging area is set to a second imaging condition different from the first imaging condition, and the imaging condition of the third imaging area is set to the first imaging condition and the second imaging A setting unit for setting a third imaging condition in which a difference from the first imaging condition is smaller than a difference from the condition; a pixel included in the first imaging area; a pixel included in the second imaging area; A pixel that is included in the third imaging region, a selection unit that selects a pixel to be used for interpolation of the pixel included in the first imaging region, and a pixel that is output from the pixel selected by the selection unit The first imaging using the signal interpolated by the signal An imaging device comprising: a detection unit that detects a subject imaged in the region.
(18) The distance between the first imaging area for imaging the subject, the second imaging area for imaging the subject, and the distance between the first imaging area and the second imaging area is longer than the distance between the first imaging area and the second imaging area. An imaging device having a third imaging area for imaging a subject, a setting unit for setting imaging conditions for the second imaging area to imaging conditions different from the imaging conditions for the first imaging area, and the first imaging area A pixel to be used for interpolation of a pixel included in the first imaging region is selected from among a pixel included in the pixel, a pixel included in the second imaging region, and a pixel included in the third imaging region An imaging apparatus comprising: a selection unit that selects; and a detection unit that detects a subject imaged in the first imaging region using a signal interpolated by a signal output from a pixel selected by the selection unit.
(19) By an image sensor having an imaging area for imaging a subject, a setting unit for setting imaging conditions for the imaging area, and a signal output from a pixel included in the imaging area selected as a pixel used for interpolation A detection unit that detects a subject imaged in the imaging region using the interpolated signal, and an imaging device in which at least some of the pixels to be selected differ depending on the imaging condition set by the setting unit .
(20) a first imaging area set to image a subject under the first imaging condition; a second imaging area set to image a subject under a second imaging condition different from the first imaging condition; Selected as a pixel to be used for interpolation of the pixels included in the first imaging region, from among the imaging device having the pixel, the pixels included in the first imaging region, and the pixels included in the second imaging region An imaging device comprising: a detection unit that detects a subject imaged in the first imaging region using a signal interpolated by a signal output from a pixel.
(21) An image pickup device having an image pickup area for picking up an object, a setting unit for setting image pickup conditions for the image pickup area, and a signal for reducing noise selected from pixels included in the image pickup area are output. A detection unit that detects a subject imaged in the imaging region using a signal in which noise is reduced by a signal output from the pixel, and according to an imaging condition set by the setting unit, An imaging device in which at least some of the pixels are different.
(22) a first imaging region set to image a subject under the first imaging condition, a second imaging region set to image a subject under a second imaging condition different from the first imaging condition, An image sensor having a third imaging area set to image a subject under a third imaging condition different from the second imaging condition, a pixel included in the second imaging area, and included in the third imaging area A selection unit that selects a pixel included in the first imaging region from among the pixels to be used for noise reduction, and a signal to be used for noise reduction of a signal of the pixel included in the first imaging region. As the pixel to be output, the first pixel is output using a signal in which noise is reduced by a signal output from a pixel selected from the pixel included in the second imaging region and the pixel included in the third imaging region. Captured in the imaging area An imaging device and a detector for detecting the object was.
(23) a first imaging area set to image a subject under the first imaging condition, a second imaging area set to image a subject under a second imaging condition different from the first imaging condition; And a pixel included in the first imaging region and a pixel included in the second imaging region as pixels that output a signal used to reduce noise of the pixel included in the first imaging region. An imaging device comprising: a detection unit that detects a subject imaged in the first imaging region using a signal interpolated by a signal output from a pixel selected from among the pixels.
(24) Image processing is performed by an image sensor having an imaging area for imaging a subject, a setting unit for setting imaging conditions for the imaging area, and a signal output from a pixel selected as a pixel for image processing. A detection unit that detects a subject imaged in the imaging region using the acquired signal, and an imaging device in which at least some of the pixels to be selected differ according to the imaging condition set by the setting unit.
(25) A selection unit that selects a signal to be used for interpolation from signals output from pixels included in the imaging region of the imaging element, and the imaging region using a signal interpolated by the signal selected by the selection unit A detection unit that detects the subject imaged in (1), and the selection unit is a subject detection device in which at least some of the pixels to be selected are different depending on the imaging condition set in the imaging region.
(26) Using a selection unit that selects a signal for reducing noise from signals output from pixels included in the imaging region of the imaging element, and a signal in which noise is reduced by the signal selected by the selection unit A detection unit that detects a subject imaged in the imaging region, and the selection unit is a subject detection device in which at least some of the pixels to be selected are different depending on an imaging condition set in the imaging region.

Further, the above-described embodiments and modifications also include the following devices.
(1) The first image data generated by imaging light incident on the first region of the imaging unit under the first imaging condition, and the light incident on the second region of the imaging unit are the first imaging condition. A selection unit that selects at least one of the second image data generated by imaging under a second imaging condition different from the detection unit, and a detection unit that detects a subject based on the selected image data And a subject detection device.
(2) In the subject detection apparatus as in (1), the detection unit detects the subject from a part of the imaging unit including the first region and the second region.
(3) In the subject detection apparatus as in (2), the selection unit selects image data output from a region having a large area among the first region and the second region in the partial region. To do.
(4) In the subject detection device as in (1) or (2), the selection unit selects the first image data and the second image data, and a detection result based on the first image data, The subject is detected based on the detection result based on the second image data.
(5) In the subject detection device as in (1) to (4), the detection unit detects the subject as a focus adjustment target of the optical system.
(6) The subject detection device as in (1) to (4) includes a photometry unit that detects the brightness of the subject, and the detection unit detects the object as a target of photometry by the photometry unit.
(7) A first region in which light incident through the imaging optical system is imaged under a first imaging condition to generate first image data, and a second imaging condition in which the incident light is different from the first imaging condition A second region that captures an image and generates second image data, and selects at least one of the first image data and the second image data generated by the image sensor An imaging apparatus comprising: a selection unit that performs detection; and a detection unit that detects a subject based on the selected image data.
(8) In the imaging apparatus as in (7), the detection unit detects the subject in a partial area of the imaging element including the first area and the second area.
(9) In the imaging device as in (8), the selection unit selects image data output from a region having a large area among the first region and the second region in the partial region. .
(10) In the imaging device as in (7) or (8), the selection unit selects the first image data and the second image data, and detects a detection result based on the first image data, and the first image data. The subject is detected based on the detection result based on the two image data.
(11) In the imaging device as in (7) to (10), the detection unit detects the subject as a focus adjustment target of the optical system.
(12) The imaging apparatus as in (7) to (10) includes a photometry unit that detects the brightness of the subject, and the detection unit detects the subject as a target of photometry by the photometry unit.
(13) In the imaging device as in (7) to (12), the imaging element can capture an image by changing an imaging condition for each unit region of the imaging surface, and can receive light incident through the optical system. From first image data from a first area composed of at least one unit area imaged under one imaging condition, and from at least one unit area obtained by imaging the incident light under a second imaging condition different from the first imaging condition The second image data from the second region is generated, and the selection unit is provided for each unit region or each composite region having a plurality of unit regions, and the corresponding unit region or the corresponding unit Image data from the unit area in the composite area is selected.
(14) In the imaging device as in (13), the imaging element is provided on a first semiconductor substrate, and the plurality of data selection units are provided on a second semiconductor substrate.
(15) In the imaging device as in (14), the first semiconductor substrate and the second semiconductor substrate are stacked.

The disclosure of the following priority application is hereby incorporated by reference.
Japanese patent application 2015 No. 195287 (filed on September 30, 2015)

DESCRIPTION OF SYMBOLS 1,1C ... Camera 1B ... Imaging system 32 ... Imaging part 32a, 100 ... Imaging element 33 ... Image processing part 33a, 321 ... Input part 33b, 322 ... Selection part 33c, 323 ... Generation part 34 ... Control part 34a ... Object detection Section 34b ... Area division section 34d ... Imaging control section 35 ... Display section 90 ... Predetermined range 1001 ... Imaging apparatus 1002 ... Display apparatus P ... Pixel of interest

Claims (14)

A first imaging region for imaging a subject, and an image pickup element having the second imaging region for imaging a subject,
A setting unit to set the first imaging condition in the first imaging region, and sets the second imaging condition in the second imaging area,
Included in the first imaging area based on the imaging conditions of the second imaging area set by the setting unit from among pixels included in the first imaging area and pixels included in the second imaging area A selection unit that selects at least some of the pixels to be selected for use in interpolation of the selected pixels ; and
A detection unit for detecting a subject imaged in the first imaging region using a signal interpolated by a signal output from a pixel selected by the selection unit;
Ru an image pickup device. A first imaging region for imaging a subject, and an image pickup element having the second imaging region for imaging a subject,
A setting unit to set the first imaging condition in the first imaging region, and sets the second imaging condition in the second imaging area,
To use for interpolation of the pixels included in the first imaging area based on the imaging conditions of the second imaging area out of the pixels included in the first imaging area and the pixels included in the second imaging area A selection unit for selecting pixels of
A detection unit for detecting a subject imaged in the first imaging region using a signal interpolated by a signal output from a pixel selected by the selection unit;
Ru an image pickup device. The imaging device according to claim 1 or 2 ,
The selection unit selects a pixel to be used for interpolation of pixels included in the first imaging region based on the imaging condition of the first imaging region and the imaging condition of the second imaging region set by the setting unit. An imaging device that makes at least some of the pixels different. In the imaging device according to any one of claims 1 to 3 ,
The imaging device is configured to select a pixel to be used for the interpolation from at least one of the first imaging area and the second imaging area. The imaging apparatus according to claim 4,
The imaging unit is configured to select a pixel in the second imaging region as a pixel to be used for the interpolation according to an imaging condition of the second imaging region set by the setting unit. In the imaging device according to any one of claims 1 to 5 ,
The selection unit is an imaging device that selects pixels included in the second imaging region when a first imaging condition is set in the first imaging region and the second imaging region by the setting unit. The imaging device according to claim 6,
The imaging unit is configured to select a pixel in the second imaging region as a pixel to be used for the interpolation based on a value related to exposure according to an imaging condition of the second imaging region set by the setting unit. The imaging apparatus according to claim 7,
The selection unit is configured to use the first pixel as a pixel used for the interpolation based on a value related to exposure according to an imaging condition of the first imaging region set by the setting unit and a value related to exposure based on the imaging condition of the second imaging region. An imaging apparatus that selects pixels in two imaging areas. The imaging device according to claim 8,
The selection unit performs the interpolation when a difference between the number of exposure steps according to the imaging condition of the first imaging region set by the setting unit and the number of exposure steps according to the imaging condition of the second imaging region is 0.3 or less. An imaging device that selects a pixel in the second imaging region as a pixel to be used. In the imaging device according to any one of claims 1 to 9 ,
The selection unit selects pixels included in the first imaging region when the setting unit sets a first imaging condition in the first imaging region and the second imaging condition is set in the second imaging region. Imaging device. The imaging device according to claim 10.
The selection unit does not select a pixel in the second imaging region when the first imaging condition is set in the first imaging region by the setting unit and the second imaging condition is set in the second imaging region. And an imaging device that selects pixels included in the first imaging region. In the imaging device according to any one of claims 1 to 11 ,
The selection unit is a pixel for interpolating the first pixel in the first imaging region, and the distance between the first pixel and the second pixel in the second imaging region is longer than the distance between the first pixel and the second pixel in the second imaging region. An imaging device that selects a third pixel in the first imaging region. In the imaging device according to any one of claims 1 to 12 ,
The selection unit is an imaging device in which the number of pixels to be selected differs depending on the imaging condition set in the second imaging region by the setting unit. The imaging device according to claim 13.
When the first imaging condition is set in the first imaging area and the second imaging condition is set in the second imaging area by the setting unit, the selection unit sets the first imaging area and the second imaging An imaging apparatus that selects fewer pixels than when the first imaging condition is set for an area.

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