JP2009038458A - Imaging apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an imaging apparatus capable of reducing the occurrence of misdetection when detecting a person. <P>SOLUTION: The imaging apparatus is provided with a photoelectric conversion element having a plurality of color filters; a spectral optical system 100 for spectralizing a subject and forming images of optical components, corresponding to the color filters per pixel unit of the photoelectric conversion element to correct false color; a correcting means 1023 for applying digital filter processing to the image data by the output of the photoelectric conversion element, on the basis of the position of the pixel having saturated output of the photoelectric conversion element and the optical characteristics of the spectral optical system 100, thereby removing the influence of the unwanted optical components contained in a light spectralized in the spectral optical system 100; and a target detecting means 1023 for detecting the position of a predetermined target in a field, on the basis of at least the color information of the image data corrected by the correcting means 1023. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an imaging apparatus that receives spectral light of a diffractive optical element with a photoelectric conversion element.

  2. Description of the Related Art Conventionally, a photometric device that receives subject light using a two-dimensional image sensor provided with a plurality of color filters and performs photometry and colorimetry for each of a plurality of color components is known (see, for example, Patent Document 1). ). Each pixel of the two-dimensional image sensor is provided with a corresponding color filter, and only a color component that passes through the filter is detected by the photoelectric conversion element. In an image sensor used in a photometric device, the size of a pixel is set to be large in order to place importance on sensitivity, and generation of false colors becomes a problem.

  The generation of such false colors can be reduced by spectrally dividing the subject light with a diffraction grating and making those color components enter each color filter. By the way, when analyzing a photographic scene using the color information of a photometric sensor, unnecessary diffracted light of an order not used for image formation becomes a flare component, which becomes a false detection factor in scene analysis. As a method of removing such unnecessary diffracted light, a method of correcting a flare component from a subject image and subtracting the flare component from an image signal has been proposed (for example, see Patent Document 2).

Japanese Patent No. 3321932 JP-A-9-238357

  However, in a region where the subject brightness is high, such as a light source, the output at the time of scene analysis is saturated, and it may be difficult to calculate the flare component. In this case, a flare component that cannot be corrected remains, and erroneous detection due to the flare component cannot be avoided.

An image pickup apparatus according to a first aspect of the present invention includes a photoelectric conversion element having color filters of a plurality of colors, and subject light is dispersed, and a light component corresponding to the color filter is imaged in units of pixels of the photoelectric conversion element to generate a false color. Spectral optical system by performing digital filter processing on image data based on output of photoelectric conversion element based on spectral optical system to be corrected, position of pixel where output of photoelectric conversion element is saturated and optical characteristic of spectral optical system Correction means for removing the influence of unnecessary light components contained in the light separated in step, and object detection for detecting the position of a predetermined object in the scene based on at least color information of the image data corrected by the correction means Means.
According to a second aspect of the present invention, in the imaging device according to the first aspect, weighting according to the degree of influence of the optical characteristics of the spectroscopic optical system is performed for each pixel of the photoelectric conversion element, thereby removing the influence of unnecessary light components. It is what you do.
According to a third aspect of the present invention, in the imaging device according to the first aspect, the unnecessary light component incident pixel region is calculated based on the position of the pixel whose output is saturated and the optical characteristics of the spectroscopic optical system, and the unnecessary light component is calculated. The incident pixel area is excluded from the detection area of the object detection means.
According to a fourth aspect of the present invention, in the imaging device according to the first aspect, a diffractive optical element is provided in the spectroscopic optical system and the first-order diffracted light is used as imaging light, and is adjacent in the direction of the zero-order light component with respect to the first-order diffracted light. An output difference between two pixels is calculated, and when the output difference is equal to or greater than a predetermined value, a predetermined number of pixel positions located in the 0th-order light component direction are excluded from the detection area of the target detection means. .
A fifth aspect of the present invention is the imaging apparatus according to any one of the first to fourth aspects, further comprising a photometric means for detecting the luminance of the object field based on the output of the photoelectric conversion element.
According to a sixth aspect of the present invention, in the imaging apparatus according to any one of the first to fifth aspects, the object detection unit detects a position of a person or a face in the object scene, and the person detected by the target detection unit or Focus detection means for performing focus detection control based on the position of the face is provided.
According to a seventh aspect of the present invention, in the imaging device according to the sixth aspect, the photoelectric conversion element has an RGB filter, and the influence of an unnecessary light component on the R light component passing through the R filter is removed. .
According to an eighth aspect of the present invention, there is provided an image pickup apparatus including a photoelectric conversion element having color filters of a plurality of colors and a subject light, and forming a light component corresponding to the color filter in a pixel unit of the photoelectric conversion element to generate a false color. The unnecessary light component incident pixel region is calculated based on the spectroscopic optical system to be corrected, the pixel position where the output of the photoelectric conversion element is saturated, and the optical characteristics of the spectroscopic optical system, and the unnecessary light component incident pixel region is excluded. And generating means for generating image data from which the influence of unnecessary light components has been removed.

  According to the present invention, it is possible to reduce the occurrence of erroneous detection when detecting a predetermined object in the scene by using image data from which the influence of unnecessary light components has been removed.

  Hereinafter, the best mode for carrying out the present invention will be described with reference to the drawings. FIG. 1 is a diagram showing an embodiment of an imaging apparatus according to the present invention, and is a diagram showing a schematic configuration of a digital still camera. In the imaging apparatus according to the present embodiment, the photographic scene is recognized, for example, the face position is detected, using the output of the photometric element.

  The light that has passed through the lens optical system 1 and the diaphragm 2 is guided to the quick return mirror 3. The light transmitted through the quick return mirror 3 is guided to the distance measuring element 5 by the sub mirror 4, and the focus adjusting state of the lens optical system 1 is calculated in the distance measuring element 5. When the camera is released, the quick return mirror 3 jumps to the mirror-up position indicated by the solid line, and the subject light is guided to the image sensor 15 via the shutter 14. At the time of non-exposure, the quick return mirror 3 and the sub mirror 4 are arranged at a mirror down position indicated by a broken line. The light reflected by the quick return mirror 3 is projected onto the diffusing screen 6, passes through the condenser lens 7, is guided to the pentaprism 8, and travels toward the eyepiece 9 that is a finder.

  A part of the light emitted from the diffusing screen 6 is imaged on the photometric sensor 10 via the photometric optical system. The photometric optical system includes a prism 11, a spectroscopic optical element 12, and a photometric lens 13, and light from the pentaprism 8 is incident on the spectroscopic optical element 12 with the traveling direction changed upward by the prism 11. The diffusing screen 6 and the photometric sensor 10 are optically conjugate, and the light split by the spectroscopic optical element 12 is imaged on the photometric sensor 10 as will be described later.

  FIG. 2 is a control block diagram illustrating control based on the output of the photometric sensor 10. When the subject image is formed on the photometric sensor 10 by the photometric optical system 100, the photometric sensor 10 outputs a sensor output corresponding to the formed image to the A / D converter 101. The A / D converter 101 converts the sensor output of the analog signal into a digital signal. The sensor output converted to a digital value by the A / D converter 101 is controlled by the photometric sensor control unit 1021 to determine whether an appropriate output is obtained.

  The photometric sensor control unit 1021 determines whether or not the sensor output input from the A / D converter 101 is an appropriate output for the control performed based on the sensor output, and takes an appropriate value. The photometric sensor is feedback controlled. Here, there are exposure control and AF (autofocus) control as the control performed based on the sensor output, and feedback control is performed so that the sensor output is suitable for the photometric calculation processing at the time of exposure control. The sensor output is input to the photometric calculation processing unit 1022. On the other hand, during AF control, feedback control is performed so that the sensor output is appropriate for scene analysis (for example, person detection), and the sensor output obtained by such control is input to the person detection processing unit 1023.

  For example, when the photometry calculation processing unit 1022 performs the photometry calculation, the accumulation time and the amplifier gain are set so that the maximum luminance of the object scene becomes the target level output, and the photometry sensor 10 is feedback-controlled. When the maximum luminance reaches the target level, the sensor output is sent to the photometric calculation processing unit 1022, where photometric calculation is performed to calculate an appropriate exposure. The exposure calculation result is sent to the exposure control unit 1024, and an appropriate aperture value and shutter speed are set by the exposure control unit 1024.

  FIGS. 3A and 3B are schematic diagrams for explaining level setting. FIG. 3A shows the time of photometry, and FIG. 3B shows the time of scene analysis. In either case, the left side shows before adjustment and the right side shows after adjustment. In FIG. 3, the horizontal axis represents the pixel position, the vertical axis represents the output (luminance value) of each pixel, and three outputs P1, P2, and P3 are shown. The output P1 gives the maximum luminance, and at the time of photometry, the accumulation time and the amplifier gain are set so that the level of the adjusted output P1 becomes a target level S1 that is almost saturated.

  On the other hand, when scene analysis is performed by the human detection processing unit 1023 during AF control, as shown in FIG. 3B, in order to prevent the color information of the subject from being blacked out in a scene having a large backlight or luminance difference. Then, the accumulation time and the amplifier gain are set so that the average luminance of the object field indicated by the broken line becomes the output of the target level S2, and the photometric sensor 10 is feedback-controlled. By performing such control, the outputs P2 and P3 having low output levels as shown in FIG. 3B also have sufficiently high output levels after adjustment, and color information can be acquired.

  Returning to FIG. 2, the person detection processing unit 1023 extracts pixels having a hue specific to the person or the face based on the sensor output, and detects a position where the person or the face is present from the connection state of the pixels. For example, since the human hue corresponds to 0 to 30 degrees in the hue circle, pixels having such a hue are detected. The AF control unit 1025 performs autofocus processing with reference to the position of the person or face obtained by the person detection processing unit 1023.

  FIG. 4 is a diagram for explaining the spectrum by the spectroscopic optical element 12. As shown in FIG. 4A, the photometric sensor 10 is a two-dimensional image sensor in which photoelectric conversion elements are arranged in a matrix. In each photoelectric conversion element, red (R), green (G), and blue (B) color filters are formed as on-chip filters. In the photometric sensor of the present embodiment, R, G, B filters are provided with stripe type color filters in which R, B, G, R, B, G, R,... Are periodically arranged. Yes. One pixel is composed of a set of photoelectric conversion elements provided with R filters, photoelectric conversion elements provided with G filters, and photoelectric conversion elements provided with B filters.

  For the spectroscopic optical element 12, a blazed diffraction grating is used. In the present embodiment, since the first-order diffracted light is used as the imaging light, the spectroscopic optical element 12 is set so that the intensity of the first-order light is increased. When the white light W enters the spectroscopic optical element 12, the white light W is split into red (R) component light L1R, green (G) component light L1G, and blue (B) component light L1B. The R component light L1R, the G component light L1G, and the B component light L1B are all first-order diffracted light. When the R component light L1R enters the photoelectric conversion element provided with the R filter, the G component light L1G enters the photoelectric conversion element provided with the G filter of the same pixel, and the B component light L1B Each is set so as to be incident on a photoelectric conversion element provided with a B filter.

  Although the spectroscopic optical element 12 is designed so that the first-order diffracted light is efficiently generated, it is difficult to completely generate diffracted light of orders other than the first-order light, as shown in FIG. 4B. In addition, zero-order light and secondary light are also generated. In the example shown in FIG. 4B, if the pixel on which the primary light L1R, L1G, and L1B is incident is the 0th pixel, the 0th order light L0R and L0B is incident on the second pixel on the right side, and the left side The second light L2B is incident on the second pixel (denoted as -2). The intensity of the 0th-order light L0R of the R component is several times larger than that of the 0th-order light L0B of the B component. Such a diffracted light separation state varies depending on the spectral characteristics of the spectroscopic optical element 12.

  The 0th-order light and the secondary light shown in FIG. 4B are unnecessary lights that become flare components. The R, G, and B components that are flare components are output with a difference depending on the spectral sensitivity characteristics of the spectroscopic optical system and the photometric sensor. These flare components increase in proportion to the output level of the primary light. Since the position where unnecessary light (0th order light and secondary light) is generated with respect to the primary light that is the imaging light, and the relative intensity of the 0th order light and secondary light with respect to the primary light are determined by the design of the spectroscopic optical system By performing digital filter processing similar to the conventional one based on the spectral characteristics of the spectroscopic optical element 12 and the output of the photometric sensor 10, it is possible to correct so as to reduce the influence of the zero-order light component and the secondary light component. It is.

  When performing photometry, the accumulation time and the amplifier gain of the photometry sensor 10 are controlled so that the maximum luminance becomes a predetermined target level as shown in FIG. There is nothing wrong. Therefore, in this case, correction by the conventional digital filter processing can be performed effectively.

  However, when scene analysis is performed, accumulation time and amplifier gain are set as shown in FIG. 3B in order to acquire color information. Therefore, for a pixel with a large luminance value, the output value of the pixel is saturated like the output P1, the value of the primary light incident on the pixel cannot be estimated, and 0 for the primary light. The secondary light and the secondary light cannot be calculated.

  For example, if there is a subject with high brightness as shown by the output P1 in FIG. 3B in the field, if the output P1 is primary light, the output is the same as in the case of the adjusted output P1. The flare component related to P1 (0th order light, second order light) also increases after adjustment. In particular, when the luminance of a pixel on which a flare component is incident is relatively low, the intensity of the flare component cannot be ignored with respect to the intensity of the imaging light (primary light) at that pixel, which greatly affects the hue of the pixel. Will come to do.

  FIG. 5 shows an example of such a case. In the detection area of the photometric sensor 10, the person 200 and the illumination 201, which is a high-luminance subject, coexist. In a pixel region 203 composed of 9 (= 3 × 3) pixels including the face of the person 200, a hue within 0 to 30 degrees of the hue circle is acquired as color information. An R component flare component (0th order light) is detected in the pixel region 202 on the right side of the pixel in which the illumination 201 is imaged.

  If the luminance difference between the pixel region 202 and the illumination 201 is large, the ratio of the R component of the light detected in the pixel region 202 increases, and there is a possibility that the pixel region 202 is erroneously detected as a face region. Therefore, as will be described later, in this embodiment, face detection is performed in the remaining area excluding the pixel area 202 by excluding the pixel area 202 in FIG. 5 by mask processing.

  FIG. 6 is a flowchart for explaining the flow of the imaging process. When the release button is half-pressed, the CPU 102 activates the program shown in the flowchart of FIG. In step S11, it is determined whether or not the release button is half-pressed. If YES is determined, the process proceeds to step S12, and if NO is determined, the process proceeds to step S24. If it is determined NO in step S11 and the process proceeds to step S24, it is determined in step S24 whether or not the half-press timer that has started timing by the half-press operation of the release button has timed out. If it is determined that the time is up, the imaging operation is terminated. If not, the process returns to step S11.

  On the other hand, if it is determined as YES in step S11 and the process proceeds to step S12, photometric processing as shown in FIG. 7 is performed. FIG. 7 is a flowchart showing the details of the photometric process. In step S101, the storage and readout of the photometric sensor 10 are controlled. In step S102, it is determined whether or not the maximum value output of the photometric sensor 10, that is, the output P1 in FIG. 3A has reached the predetermined target level S1.

  If it is determined in step S102 that the predetermined target level S1 has not been reached, the process returns to step S101, the accumulation time and the amplifier gain are reset so that the sensor output increases, and accumulation and readout are performed again. By repeating such control, if the maximum value output P1 reaches the predetermined target level S1 after the adjustment in FIG. 3A, YES is determined in step S102 and the process proceeds to step S103. In step S103, photometric calculation processing is performed, and a photometric value at which exposure is appropriate is calculated from the luminance of the object scene calculated based on the output of the photometric sensor 10. If the process of step S103 is completed, the process proceeds to step S13 of FIG.

  In step S13, it is determined whether or not the mode is a mode for automatically selecting a person as an AF area during AF processing. The camera has a plurality of types of AF modes in addition to the automatic person selection mode. If the automatic person selection mode is set in advance, the camera determines YES in step S13 and proceeds to step S14. If another mode is set, the process proceeds to step S16.

  If the automatic human selection mode is set and the process proceeds to step S14, the human detection process shown in FIG. 8 is executed. FIG. 8 is a flowchart showing an example of person detection processing. In step S201, accumulation and readout for scene recognition are performed. That is, as shown in FIG. 3B, the accumulation time and the amplifier gain are set so that the output average value is about 60 to 70% of the saturation level. The accumulation time and the amplifier gain are set based on the accumulation time and the sensor output linearity during the photometric processing in step S12.

  In step S202, a flare mask for removing the flare area is generated. FIG. 9 is a flowchart illustrating an example of the flare mask generation process. As described above, in the accumulation / read-out process in step S201, the accumulation time and the amplifier gain are set as shown in FIG. It becomes a factor of detection.

  FIG. 10 is a diagram for explaining the flare mask generation processing, and shows a case where high-luminance subjects (for example, fluorescent lamp illumination) 301 to 304 as shown in FIG. A hatched area 310 in FIG. 10B represents a pixel area affected by a flare component generated corresponding to the high brightness subjects 301 to 304. The influence of the flare component increases as the luminance difference between the high luminance regions 301 to 304 and the region where the flare component is incident increases. The area 310 is an area where the luminance difference with the high luminance areas 301 to 304 is large and the influence of the flare component becomes significant.

  In the flare mask generation process shown in FIG. 9, a mask for removing this region 310 is generated. The method of generating the flare component differs depending on the spectral characteristics of the spectroscopic optical element 12, but here, assuming the spectral characteristics as shown in FIG. 4B, the high-luminance regions 301 to 1001 as shown in FIG. A case where an R component flare occurs on the right side of 304 will be described as an example.

  Note that the rectangular frame in FIG. 10 indicates the imaging area of the photometric sensor 10, and pixels are arranged in a matrix in the photometric area. The column number i is set in the right direction from the upper left end of the rectangular frame, and the row number j is set in the lower direction from the upper left end. The position of each pixel can be expressed as [i, j].

  In step S301 in FIG. 9, the row number j is set to 1, and in the subsequent step S302, the column number i is set to 1. In step S303, an output difference between the left pixel [i-1, j] and the focused pixel [i, j] is calculated, and it is determined whether the value is larger than a predetermined value STr. As the predetermined value, a luminance difference (= Y (i−1, j) −Y (i, j)) when erroneous detection is a problem may be used. Here, the difference in luminance value (luminance difference) is used as the output difference. However, when the influence of the R component is removed as in this embodiment, the difference between the R component (output of the R pixel) is used instead of the luminance difference. It may be used.

  If it is determined in step 303 that “luminance difference> STr”, the process proceeds to step S304. In step S304, the mask [i, j] of the pixel of interest [i, j] is set to 1, and the position on the right side thereof is set. The mask [i + 1, j] of the pixel [i + 1, j] and the mask [i + 2, j] of the pixel [i + 2, j] are also set to 1. Here, the mask for three pixels is set to 1 on the assumption that the flare component affects up to the right three pixels of the high luminance pixel.

  On the other hand, if it is determined in step 303 that “luminance difference ≦ STr” and the process proceeds to step S305, whether or not the mask [i, j] of the pixel [i, j] of interest in step S305 is “≠ 1”. It is determined whether “= 1”. If “mask [i, j] = 1” is determined in step S305, the process proceeds to step S307, and if “mask [i, j] ≠ 1” is determined, the process proceeds to step S306 and “mask [i, j] is determined. = 0 ". When the process of step S306 ends, the process proceeds to step S307.

  In step S307, it is determined whether the column number i is the rightmost column number H or not. If YES is determined in the step S307, the process proceeds to a step S309. If NO is determined, the process proceeds to the step S308, the column number i is incremented, and the process returns to the step S303. In step S309, it is determined whether or not the line number j is the lowermost line number. If NO is determined in step S309, the process proceeds to step S310 to increment the line number j and then returns to step S302. On the other hand, if “YES” is determined in the step S309, the mask generation is completed for all the pixel regions, and the process proceeds to the step S203 in FIG. FIG. 10C shows the generated flare mask FM.

  If the primary light is not saturated because it is not a high-luminance subject, the 0th-order light and the secondary light, which are flare components, can be removed using the output value. Therefore, in step S203 of FIG. 8, the flare component relating to the unsaturated primary light is removed by the digital filter processing similar to the conventional one. In the case of the image shown in FIG. 10A, in the high luminance regions 301 to 304, since the output is saturated like the output P1 on the right side of FIG. 3B, all flare components are removed by digital filter processing. The image with the flare component remaining cannot be obtained.

  Next, an auto white balance process is performed on the photometric sensor output based on the image subjected to flare correction in step S204, and an RGB image is converted to a hue in step S205. As a result, color information (hue) can be acquired for each pixel. However, the shaded pixel region 310 in FIG. 10B has a hue similar to that of a human face due to the influence of the flare component (R component).

  Therefore, in the person extraction process based on the color information in step S206, based on the flare mask FM generated in step S202, the person group in the pixel area of mask = 0 excluding the area of mask = 1 in FIG. Perform extraction. Specifically, an area in the range of about 0 to 30 degrees in which the hue is considered to be a person is extracted, and the extracted area is further classified and grouped for each hue shape and connected component that seems to be a person.

  In step S207, an area that seems to be a person is determined for the grouped area. For example, the size of a person's face imaged on the image sensor 15 is estimated based on the focal length of the lens optical system 1, and the size is compared with the size of the grouped region to determine whether the person is a person. Judgment is made. In step S208, the reliability of the person detection result is evaluated in consideration of the appearance frequency of similar hues and the influence of a decrease in the amount of light around the lens. When the person detection result is used for AF area determination in the AF process, the AF area selection is performed in consideration of the reliability evaluation value.

  If the process of step S208 is completed, the process proceeds to step S15 of FIG. In step S15, AF area information with the person position extracted in step S14 as the AF area candidate position is transmitted to the AF control unit 1025. In step S16, the AF control unit 1025 performs autofocus processing based on the AF area information. As a result, AF processing is performed to bring the person into focus on the face. On the other hand, if NO is determined in step S13 and the process proceeds to step S16, AF processing is performed based on the AF mode selected by the user.

  In step S17, it is determined whether or not the release button has been fully pressed. If YES is determined in the step S17, the process proceeds to a step S18. If NO is determined, the process returns to the step S11. A series of processing from step S18 to step S23 is a normal exposure operation in the digital camera. That is, in step S18, a mirror up operation for moving the quick return mirror 3 and the sub mirror 4 to the position indicated by the solid line in FIG. 1 is performed, and in step S19, the image sensor 15 is initialized (charge discharge or the like). In step S20, the image pickup device 15 causes the image pickup device 15 to store electric charges and sweep out the accumulated electric charges. In step S21, a mirror-down operation is performed to return the quick return mirror 3 and the sub mirror 4 to the positions indicated by broken lines in FIG. In step S22, predetermined image processing is performed on the output signal of the image sensor 15. In step S23, the image data is recorded in a storage medium (not shown), and a series of imaging processing ends.

  As described above, in the present embodiment, the flare mask FM is generated, and the region where the influence of the flare component is large is excluded from the person detection region. As a result, even when there is a high-luminance subject such as illumination and the influence of the flare component is significant, the erroneous detection of a person due to the flare component is reduced. In the above-described embodiment, the right three pixels of the high luminance pixel are masked. However, the position where the flare component is generated with respect to the high luminance pixel depends on the spectral characteristics of the spectroscopic optical element 12. Is set.

  Further, in the flare mask generation processing of FIG. 9, the pixel region is scanned from the left side to the right side, and the mask calculation is performed. However, depending on the direction in which the flare component is generated with respect to the high luminance pixel. . For example, when a flare component is generated on the lower side of a high-luminance pixel, the calculation can be performed efficiently by performing a mask operation while scanning from the upper side to the lower side.

  Furthermore, since the person detection is performed in the present embodiment, the flare mask is generated for the R component of the flare component having a hue similar to that of the person. However, if another object is detected, an error occurs. A frame mask is formed for color components that are likely to cause detection. For example, when detecting a green object, a flare mask may be generated based on the G component of the flare components. In addition, the above description is an example to the last, and this invention is not limited to the said embodiment at all unless the characteristic of this invention is impaired.

1 is a diagram illustrating an embodiment of an imaging apparatus according to the present invention, and is a diagram illustrating a schematic configuration of a digital still camera. 2 is a control block diagram illustrating control based on the output of the photometric sensor 10. FIG. It is a schematic diagram for demonstrating level setting, (a) shows the time of photometry, (b) shows the time of scene analysis. It is a figure explaining the spectroscopy by the spectroscopic optical element 12, (a) is a figure which shows the primary light which injects into the photometry sensor 10, (b) is the position of the 0th order light and secondary light with respect to primary light. It is a figure explaining. It is a figure which shows the pixel area | region 202 where the flare component by illumination 201 generate | occur | produces. It is a flowchart explaining an imaging process. It is a flowchart which shows the detail of a photometry process. It is a flowchart which shows the detail of a person detection process. It is a flowchart which shows the detail of a flare mask production | generation process. It is a figure explaining a flare mask production | generation process, (a) is a figure which shows the high-intensity subjects 301-304, (b) is a figure which shows the pixel area 310 influenced by a flare component, (c) is flare mask FM. FIG.

Explanation of symbols

  1: Lens optical system, 2: Aperture, 3: Quick quick mirror, 5: Distance measuring element, 12: Spectral optical element, 10: Photometric sensor, 15: Image sensor, 100: Photometric optical system, 102: CPU, 1021 : Photometric sensor control unit, 1022: photometry calculation processing unit, 1023: person detection processing unit, 1024: exposure processing unit, 1025: AF control unit, 202: pixel area where flare component is incident, FM: flare mask

Claims (8)

A photoelectric conversion element having a plurality of color filters;
A spectroscopic optical system that divides subject light and corrects a false color by forming a light component corresponding to the color filter in a pixel unit of the photoelectric conversion element;
Based on the position of the pixel where the output of the photoelectric conversion element is saturated and the optical characteristics of the spectral optical system, the image data by the output of the photoelectric conversion element is subjected to digital filter processing, thereby being spectrally separated by the spectral optical system. Correction means for removing the influence of unnecessary light components contained in the light,
An image pickup apparatus comprising: object detection means for detecting a position of a predetermined object in the object scene based on at least color information of the image data corrected by the correction means. The imaging device according to claim 1,
The image pickup apparatus according to claim 1, wherein the correction unit removes the influence of the unnecessary light component by performing weighting according to the degree of influence of the optical characteristic of the spectroscopic optical system for each pixel of the photoelectric conversion element. The imaging device according to claim 1,
The correction unit calculates an unnecessary light component incident pixel region based on a pixel position where the output is saturated and an optical characteristic of the spectroscopic optical system, and detects the unnecessary light component incident pixel region by the target detection unit. An imaging device, characterized by being excluded from the region. The imaging device according to claim 1,
A diffractive optical element is provided in the spectroscopic optical system, and first-order diffracted light is used as imaging light.
The correction means calculates an output difference between two pixels adjacent to the first-order diffracted light in the direction of the zero-order light component, and when the output difference is equal to or greater than a predetermined value, the correction means is located in the predetermined direction of the zero-order light component. An image pickup apparatus that excludes a number of pixel positions from a detection region of the target detection means. In the imaging device according to any one of claims 1 to 4,
An imaging apparatus, further comprising photometric means for detecting the luminance of the object scene based on the output of the photoelectric conversion element. In the imaging device according to any one of claims 1 to 5,
The object detection means detects the position of a person or face in the scene,
An imaging apparatus comprising: a focus detection unit that performs focus detection control based on a position of a person or a face detected by the target detection unit. The imaging device according to claim 6,
The photoelectric conversion element has an RGB filter,
The image pickup apparatus, wherein the correction unit removes an influence of an unnecessary light component related to an R light component passing through an R filter. A photoelectric conversion element having a plurality of color filters;
A spectroscopic optical system that divides subject light and corrects a false color by forming a light component corresponding to the color filter in a pixel unit of the photoelectric conversion element;
The unnecessary light component incident pixel region is calculated based on the position of the pixel where the output of the photoelectric conversion element is saturated and the optical characteristics of the spectroscopic optical system, and the unnecessary light component incident pixel region is excluded to eliminate the unnecessary light component An image pickup apparatus comprising: a generation unit that generates image data from which the influence of the above is removed.

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