JP2010286577A - Electronic camera - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an electronic camera having enhanced accuracy of focus adjustment. <P>SOLUTION: The electronic camera includes: an imaging element 2 repeatedly capturing an object field image through an imaging optical system 1; a recognizing means 12 recognizing the region of the object image from a first imaging signal obtained by the imaging element 2; a computing means 12 (10, 11) computing a first focus evaluation value corresponding to the region of the object image based on the first imaging signal; and a removing means 12 (9) removing a frequency component of a predetermined band from a second imaging signal obtained by the imaging element 2 in accordance with at least one of the first focus evaluation value and a controlled sensitivity value obtained by exposure computation. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an electronic camera.

  In an electronic camera that performs contrast detection autofocus adjustment, the relative pixel output corresponding to the color of the illumination light from the auxiliary light source is used to improve the accuracy of detecting the focus evaluation value when shooting using auxiliary shooting light. There is a known technique for enhancing the above (see Patent Document 1).

JP-A-2005-352208

  However, there has been a demand for improving the focus adjustment accuracy even when shooting without using the auxiliary shooting light.

  An electronic camera according to the present invention includes an imaging device that repeatedly captures an object scene image through a photographing optical system, a recognition unit that recognizes a region of a target image from a first imaging signal obtained by the imaging device, and a first imaging signal. Based on the first focus evaluation value corresponding to the area of the target image, and at least one of the first focus evaluation value and the control sensitivity value obtained by the exposure calculation. And removing means for removing a frequency component of a predetermined band from the obtained second imaging signal.

  In the electronic camera according to the present invention, the focus adjustment accuracy can be increased.

It is a block diagram explaining the principal part structure of AF electronic camera by one embodiment of this invention. It is a figure which shows an example of the relationship between the position of a focusing lens, and a focus evaluation value. It is a flowchart explaining the flow of a tracking AF preparation process. It is a figure which illustrates the back of AF electronic camera. It is a figure which illustrates the relationship between a focus evaluation value and control imaging sensitivity. It is a figure showing a filter characteristic. It is a flowchart explaining the flow of a tracking AF process.

  Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. FIG. 1 is a block diagram for explaining a main configuration of an autofocus (AF) electronic camera according to an embodiment of the present invention. In FIG. 1, an electronic camera includes a lens unit 1, an image sensor 2, an A / D converter 3, a memory 4, an image processing circuit 5, a control circuit 8, a CPU 12, a motor 13, and focus control. It has a mechanism 14, an LCD monitor 15, and an operation member 16, and the external storage circuit 6 is configured to be detachable.

  The lens unit 1 includes a focusing lens (not shown). The focusing lens is a lens that adjusts the focal position so that the subject image that has passed through the lens unit 1 is formed on the imaging surface of the imaging device 2. When the motor 13 drives the focus control mechanism 14, the focus control mechanism 14 moves the focusing lens forward and backward in the optical axis direction. The motor 13 is driven by a lens driving signal output from the CPU 12.

  The image sensor 2 is configured by, for example, a CMOS image sensor. The image sensor 2 captures a subject image on the imaging surface and outputs a photoelectric conversion signal corresponding to each pixel. The signal level of the photoelectric conversion signal output from the image sensor 2 varies depending on the intensity of light incident on each pixel. The control circuit 8 generates a timing signal necessary for driving the image sensor 2 and supplies the timing signal to the image sensor 2.

  A color filter 2A is provided on the image pickup surface of the image pickup device 2, and the image pickup device 2 outputs a photoelectric conversion signal received through the color filter 2A. For example, by arranging R, G, B color filters at the pixel positions of the image sensor 2, photoelectric conversion signals corresponding to light of R color components are output from the pixels received through the R color filters, A photoelectric conversion signal corresponding to light of the G color component is output from the pixel received through the G color filter, and a photoelectric conversion signal corresponding to light of the B color component is output from the pixel received through the B color filter. . The means for obtaining the photoelectric conversion signal for each color is not limited to the arrangement of the color filter 2A.

  The AF electronic camera of the present embodiment uses photoelectric conversion signals from the image sensor 2 for recording a captured image, for live view display described later, for photometric calculation, and for calculating a focus evaluation value described later. The photoelectric conversion signal output from the image sensor 2 is converted into a digital signal by the A / D converter 3. The converted digital data is stored in the memory 4. The image processing circuit 5 performs compression processing on the image data stored in the memory 4 by a predetermined method (for example, JPEG), and stores the compressed image data in the external storage circuit 6. The image processing circuit 5 also performs decompression processing when the compressed data recorded in the external storage circuit 6 is read and decompressed. The external storage circuit 6 is configured by a data storage member such as a memory card, for example. The LCD monitor 15 is disposed on the back surface of the camera body. The LCD monitor 15 reproduces and displays captured images and live view images.

  The CPU 12 includes an AE / AWB circuit 7, a detection filter 9, an integration circuit 10, an AF circuit 11, and a nonvolatile memory 17. The CPU 12 is connected to the control circuit 8 and the memory 4 and performs various calculations such as automatic focus detection (AF), automatic exposure (AE), and white balance adjustment (AWB) of the electronic camera, and sequence control of camera operation. In the AE calculation, for example, the subject luminance is calculated using a photoelectric conversion signal from the image sensor 2. Further, the CPU 12 performs a predetermined exposure calculation using the calculated subject brightness, and determines the control imaging sensitivity Sv, the control aperture Av, and the control shutter time Tv.

  Various operation signals are input from the operation member 16 to the CPU 12. The CPU 12 performs camera control such as AF control, AE control, and AWB control of the AF electronic camera in accordance with an operation signal input from the operation member 16.

  The AE / AWB circuit 7 performs known exposure calculation and white balance adjustment processing. The white balance adjustment process is performed on the image data stored in the memory 4.

  The detection filter 9 is a filter that extracts a high frequency component from image data corresponding to a focus detection area (focus area) in the image data before image processing stored in the memory 4. The image data after the filter processing by the detection filter 9 has a frequency component in a predetermined band, specifically, a low frequency component, particularly a direct current component, removed compared to the image data before the filter processing. As will be described later, the CPU 12 can change the characteristics of the detection filter 9 and adjust the frequency component to be removed.

  The integration circuit 10 integrates the image data corresponding to the pixels included in the focus area and filtered by the detection filter 9. Note that the absolute values of the image data are integrated in order to integrate the differences due to the high frequency components.

  The AF circuit 11 obtains a focus evaluation value using the integrated value obtained by the integrating circuit 10. FIG. 2 is a diagram illustrating an example of the relationship between the position of a focusing lens (not shown) in the photographing lens 1 and the focus evaluation value. In FIG. 2, the horizontal axis represents the position of the focusing lens, and the vertical axis represents the focus evaluation value.

  The calculation of the focus evaluation value is performed, for example, while moving the focusing lens from one of the movable ends (for example, the closest end) toward the other (the infinite end). The focus evaluation value curve illustrated in FIG. 2 is obtained as a collection of discrete data obtained by the AF circuit 11 calculating focus evaluation values at predetermined time intervals. Here, the discrete data interval is determined by the imaging time by the imaging device 2, the time required for the filtering process and the integrated value calculation, and the moving speed of the focusing lens.

  The AF circuit 11 calculates a focal point corresponding to the maximum point of the focus evaluation value curve. The focal point is a lens position that eliminates blurring of the edge of the subject image captured by the image sensor 2 and maximizes the contrast of the image. The position of the focal point varies depending on the distance from the camera to the main subject.

  The above-described focus evaluation value calculation processing is performed in correspondence with the focus area provided in the shooting screen. In general, where the focus area is set on the screen is determined by a method in which the photographer operates the operation member 16 to indicate a focus area position, or a method in which the CPU 12 automatically sets a focus area corresponding to a predetermined subject. and so on.

  In this description, the operation when the AF electronic camera switched to the method of automatically setting the focus area sets the focus area corresponding to a predetermined subject will be mainly described. In this case, the CPU 12 detects the position of the main subject in the screen by using a known technique such as template matching based on the plurality of frame images acquired by the image sensor 2. Then, a predetermined range including the detected main subject is set as a focus area.

  Reference data used by the AF electronic camera for template matching can be stored in the nonvolatile memory 17. The procedure for storing the reference data will be described with reference to the flowchart illustrated in FIG.

  When the AF electronic camera is turned on, the CPU 12 activates a program for performing the tracking AF preparation process shown in FIG. In step S01 of FIG. 3, the CPU 12 performs a tracking subject determination process. Specifically, the following procedure is used.

  First, the CPU 12 causes the image sensor 2 to capture images for live view display at a predetermined time interval (for example, 30 frames / second). Image data for live view display is sequentially stored in the memory 4 in units of frames at the predetermined time intervals. The image processing circuit 5 sequentially reads the image data stored in the memory 4 to generate display data, and the LCD monitor 15 sequentially displays a reproduced image based on the display data (live view display).

  Display data for live view display only needs to have data having a size corresponding to the display resolution of the LCD monitor 15. For this reason, the readout of the photoelectric conversion signal from the image sensor 2 at the time of live view display is configured with a data size smaller than the readout data at the time of photographing by performing, for example, pixel thinning readout.

  FIG. 4 is a diagram illustrating the back surface of the AF electronic camera. In FIG. 4, a live view image is displayed on the LCD monitor 15. The image processing circuit 5 superimposes the tracking designation frame data on the display data, thereby displaying the tracking designation frame 15A so as to be superimposed on the live view image. In the present embodiment, the default display position of the tracking designation frame 15A is the center of the display screen.

  The photographer, for example, frames the AF electronic camera so that the object to be tracked (referred to as the tracking subject T) is displayed in the tracking designation frame 15A, and presses the confirm button 16A constituting the operation member 16. Press down.

  When an operation signal indicating that the confirm button 16A is pressed is input, the CPU 12 generates feature amount data based on the image data corresponding to the tracking subject T currently displayed in the tracking designation frame 15A. Then, the reference data including the feature amount data is stored (registered) in the nonvolatile memory 17. This reference data is used for template matching when tracking the tracking subject T.

  In step S02 after the tracking subject determination process, the CPU 12 uses the focus evaluation value to determine whether or not it is in focus. If the focusing lens is located at the focal point, the CPU 12 makes a positive determination in step S02 and proceeds to step S04. If the focusing lens is not located at the focal point (including the case where the focus evaluation value has not been calculated immediately after the tracking subject is determined), the CPU 12 makes a negative determination in step S02 and proceeds to step S03.

  In step S03, the CPU 12 performs AF search processing and returns to step S01. As described above, the AF search process is completed by obtaining a focus evaluation value curve while moving the focusing lens from one of the movable ends toward the other, and moving the focusing lens to a focal point based on the focus evaluation value curve. The focus evaluation value at this time is calculated using the position of the tracking designation frame 15A as a focus area, and using image data corresponding to the pixels included in the focus area.

  Here, the focus evaluation value is calculated for each color component corresponding to the pixels included in the focus area. That is, the image data corresponding to the pixels included in the focus area, and the image data filtered by the detection filter 9 is integrated for each color component, and the focus evaluation value is obtained for each of the R component, the G component, and the B component. Calculated. The AF circuit 11 normally uses a sum value obtained by adding the focus evaluation values of the R component, the G component, and the B component at a ratio of 1: 1: 1 as a focus evaluation value for focus adjustment.

  In step S04, the CPU 12 obtains the focus evaluation value (hereinafter referred to as a reference data registration focus evaluation value) used when it is determined in step S02 that the lens is in focus, and the AE calculation. The control imaging sensitivity Sv is acquired, and the process proceeds to step S05. In step S <b> 05, the CPU 12 performs a change setting for the characteristics of the detection filter 9.

  FIG. 5 is a diagram illustrating the relationship between the focus evaluation value (AFvalue) and the control imaging sensitivity Sv. In FIG. 5, Sv5 is equivalent to ISO100, and Sv10 is equivalent to ISO3200. Numbers 1 to 3 in the circles represent filter characteristics of the detection filter 9 illustrated in FIG. In FIG. 6, the detection filter characteristic 1 has the lowest low cut-off frequency, the detection filter characteristic 3 has the highest low cut-off frequency, and the detection filter characteristic 2 has a low cut-off frequency intermediate between them.

  The three filter characteristics illustrated in FIG. 6 are all low-frequency cutoff filters. However, instead of the low-frequency cutoff filter, it may be configured as a bandpass filter that blocks unnecessary high-frequency components above a predetermined frequency. Good. The detection filter characteristics in the case of a band-pass filter are also configured so that the cut-off frequency on the low frequency side is varied in three stages as shown in FIG.

  According to FIG. 5, the lower cutoff frequency of the detection filter 9 is lowered as the control imaging sensitivity Sv acquired in step S04 (FIG. 3) becomes higher, and the reference data registration focus acquired in step S04 (FIG. 3). As the evaluation value is larger, the low-frequency cutoff frequency of the detection filter 9 is changed to the higher frequency side. That is, the higher the luminance and the higher the contrast, the higher the low-frequency cutoff frequency, and the lower the luminance and the low-contrast, the lower the frequency cutoff. When the CPU 12 performs the change setting of the detection filter characteristics as described above, the CPU 12 ends the process of FIG. 3 and starts the tracking AF process illustrated in FIG.

  FIG. 7 is a flowchart for explaining the flow of the tracking AF process. In step S11 of FIG. 7, the CPU 12 performs subject tracking processing. Specifically, by performing a known template matching process using image data of a plurality of frames having different acquisition times, an area similar to the tracking subject T in the previously acquired image data is acquired later. Detect (track) from data. At this time, the image data acquired later is obtained after the characteristics of the detection filter 9 are changed, and the frequency component corresponding to the focus evaluation value at the time of reference data registration and the control imaging sensitivity Sv is removed. is there. When the subject tracking process is performed, the CPU 12 proceeds to step S12.

  In step S12, the CPU 12 determines whether or not the subject position has moved. When the relative distance between the position of the detection region in the image data acquired later and the position of the tracking subject T in the image data acquired earlier exceeds a predetermined difference, the CPU 12 makes a positive determination in step S12. Then, the process proceeds to step S13. If the relative distance is equal to or smaller than the predetermined difference, the CPU 12 makes a negative determination in step S12 and proceeds to step S14.

  In step S13, the CPU 12 updates the coordinate position (AF area position) of the focus area used in the next AF search process from the current position to the position of the tracking subject detected in step S11, and the image data acquired later is updated. Among them, the focus evaluation value based on the image data corresponding to the updated focus area is calculated, and the process proceeds to step S14.

  In step S14, the CPU 12 determines whether or not the focus evaluation value calculated in step S13 has changed by a predetermined value or more from the previously calculated focus evaluation value. If the CPU 12 has changed by a predetermined value or more, the CPU 12 makes a positive determination in step S14 and proceeds to step S15. The process proceeds to step S15 when the focus state varies. On the other hand, if there is no change greater than the predetermined value, the CPU 12 makes a negative determination in step S14 and proceeds to step S16. The process proceeds to step S16 when the in-focus state continues.

  In step S15, the CPU 12 performs a predetermined AF search process and proceeds to step S16. The AF search process is the same as in step S03 described above, but the image data used in step S15 is obtained by removing frequency components corresponding to the reference data registration evaluation value and the control imaging sensitivity Sv. In step S16, the CPU 12 determines whether or not to end the tracking mode. When the CPU 12 is instructed to end the tracking AF process (for example, an operation signal indicating that the operation member 16 is operated during the tracking AF process to enter the shooting operation is input), the CPU 12 makes a positive determination in step S16. Then, the process according to FIG. If the instruction to end the tracking AF process is not issued, the CPU 12 makes a negative determination in step S16 and returns to step S11. When returning to step S11, the tracking AF processing for performing focus adjustment by calculating a focus evaluation value for the tracking subject T and repeating the focus while repeating the tracking subject T by performing live view display is repeated.

According to the embodiment described above, the following operational effects can be obtained.
(1) The electronic camera includes an image pickup device 2 that repeatedly picks up an object scene image through the lens unit 1, and the CPU 12 uses the photoelectric conversion signal obtained by the image pickup device 2 to obtain an image area (tracking designation frame) of the tracking subject T. 15A), a focus evaluation value corresponding to the image area of the tracking subject T is calculated based on the photoelectric conversion signal, and at least one of the focus evaluation value and the control sensitivity value Sv obtained by the exposure calculation is determined. Thus, a frequency component in a predetermined band is removed from the photoelectric conversion signal obtained by the image sensor 2. By appropriately controlling the frequency band to be removed from the photoelectric conversion signal, the focus adjustment accuracy can be increased as compared with the case where the frequency band to be removed is always the same.

(2) For example, when a high control imaging sensitivity value Sv is set, the luminance is often low. Therefore, the low-frequency cutoff frequency of the detection filter 9 is lowered so that a lower frequency component also contributes to the focus evaluation value. Thus, appropriate focus adjustment can be performed.

(3) When the focus evaluation value (AFvalue) when the template matching reference data is acquired is high, at least the area around the tracking subject T often has high contrast. As a result of making the low frequency component as low as possible and not contributing to the focus evaluation value, appropriate focus adjustment can be performed.

(Modification 1)
In the embodiment described above, the detection filter characteristics of the detection filter 9 are made different based on the focus evaluation value (AFvalue) and the control imaging sensitivity Sv (step S05). Instead of this, the detection filter characteristics of the detection filter 9 may be varied based only on the control imaging sensitivity Sv. In this case, the lower cutoff frequency of the detection filter 9 is lowered as the control imaging sensitivity Sv is higher, and the lower cutoff frequency of the detection filter 9 is higher as the control imaging sensitivity Sv is lower. That is, the lower cutoff frequency is set lower as the sensitivity is higher, and the lower cutoff frequency is set higher as the sensitivity is lower.

  As described above, when the high imaging sensitivity Sv is set, the luminance is often low. Therefore, it is appropriate to reduce the low-frequency cutoff frequency of the detection filter 9 so that a lower frequency component contributes to the focus evaluation value. Focus adjustment. On the other hand, when the low imaging sensitivity Sv is set, the luminance is often high. Therefore, by setting the low-frequency cutoff frequency of the detection filter 9 as high as possible so that the low-frequency component does not contribute to the focus evaluation value, Appropriate focus adjustment can be performed.

(Modification 2)
Unlike the first modification, the detection filter characteristic of the detection filter 9 may be varied based on only the focus evaluation value (AFvalue) in step S05. In this case, the lower the cutoff frequency of the detection filter 9 is made higher as the focus evaluation value acquired in step S04 is larger, and the lower cutoff frequency of the detection filter 9 is made lower as the focus evaluation value is smaller. That is, the lower cutoff frequency is set higher as the contrast is higher, and the lower cutoff frequency is set lower as the contrast is lower.

  As described above, when the focus evaluation value (AFvalue) is high, the contrast is often high. Therefore, the low frequency cutoff frequency of the detection filter 9 is increased so that the low-frequency component is prevented from contributing to the focus evaluation value. Therefore, appropriate focus adjustment can be performed. On the other hand, when the focus evaluation value (AFvalue) is low, the contrast is often low. Therefore, it is possible to reduce the low-frequency cutoff frequency of the detection filter 9 so that a lower frequency component contributes to the focus evaluation value. Focus adjustment can be performed.

(Modification 3)
In the embodiment described above, an example in which the focus evaluation value is obtained by adding the focus evaluation values calculated by the AF circuit 11 for each of the R component, the G component, and the B component at a ratio corresponding to 1: 1: 1. The focus evaluation value (AFvalue) in the above embodiment can be expressed by the following equation (1).
AFvalue = α × AF_R + β × AF_G + γ × AF_B (1)
However, α = β = γ = 1 and α + β + γ = 3. The focus evaluation value for the R component is represented by AF_R, the focus evaluation value for the G component is represented by AF_G, and the focus evaluation value for the B component is represented by AF_B.

As represented by the following equations (2)-(4), the CPU 12 of the third modification example performs step S13 and step based on the focus evaluation values (AF_R, AF_G, AF_B) for each color component acquired in step S04. When the focus evaluation value is calculated in S15, the ratio of adding the three component focus evaluation values (AF_R, AF_G, AF_B) is varied to obtain a focus evaluation value for focus adjustment.
α = (3 × AF_R) / (AF_R + AF_G + AF_B) (2)
β = (3 × AF_G) / (AF_R + AF_G + AF_B) (3)
γ = (3 × AF_B) / (AF_R + AF_G + AF_B) (4)

  The CPU 12 of the modified example 3 calculates the focus evaluation value according to the modified example 3 by substituting α, β, and γ calculated by the above equations (2) to (4) into the above equation (1), respectively. According to the third modification, the focus evaluation value for focus adjustment is obtained by changing the addition ratio of the focus evaluation values (AF_R, AF_G, AF_B) of the respective color components in accordance with the color characteristics of the tracking subject T. For example, when the tracking subject T is reddish, the ratio of the focus evaluation value (AF_R) of the R component increases, and the ratio of the focus evaluation values (AF_G, AF_B) of the other color components decreases. That is, the color component with a higher focus evaluation value increases the focus evaluation value ratio for the color component, while the color component with a lower focus evaluation value decreases the focus evaluation value ratio. Accordingly, it is possible to appropriately adjust the focus according to the color component of the tracking subject T.

(Modification 4)
In the third modification, weighting for each color component is performed by varying the addition ratio of the focus evaluation values (AF_R, AF_G, AF_B) of each color component based on the focus evaluation values (AF_R, AF_G, AF_B) of each color component. Went. Instead, based on the focus evaluation values (AF_R, AF_G, AF_B) of each color component, the filter characteristics of the detection filter 9 are made different for each color component in step S05, thereby performing weighting for each color component. Also good.

  For example, when the tracking subject T is reddish, the ratio of the focus evaluation value (AF_R) of the red component increases. In this case, when the CPU 12 varies the filter characteristics of the detection filter 9 for each color component in step S05, the CPU 12 lowers the low-frequency cutoff frequency of the detection filter 9 for the R component, and the detection filter 9 for the G component and the B component. Increase the low cut-off frequency. That is, for the R component, the ratio of the R component focus evaluation value (AF_R) is increased by lowering the low-frequency cutoff frequency of the detection filter 9 and contributing the lower frequency component to the focus evaluation value. On the other hand, for the G component and the B component, the low frequency cutoff frequency of the detection filter 9 is increased so that the low frequency component does not contribute to the focus evaluation value as much as possible, so that the focus evaluation values (AF_G, Reduce the AF_B) ratio. Also in the case of the configuration of the modification example 4, the focus adjustment can be appropriately performed according to the color component of the tracking subject T.

  In the above description, an AF electronic camera that is not a single-lens reflex camera has been described as an example. The present invention can also be applied to a type of electronic camera.

  The above description is merely an example, and is not limited to the configuration of the above embodiment.

DESCRIPTION OF SYMBOLS 1 ... Lens unit 2 ... Image pick-up element 2A ... Color filter 3 ... A / D converter 4 ... Memory 9 ... Detection filter 10 ... Integration circuit 11 ... AF circuit 12 ... CPU

Claims (7)

An image sensor that repeatedly captures an object scene image through a photographing optical system;
Recognizing means for recognizing a region of a target image from a first imaging signal obtained by the imaging element;
Calculating means for calculating a first focus evaluation value corresponding to a region of the target image based on the first imaging signal;
Removing means for removing a frequency component of a predetermined band from the second imaging signal obtained by the imaging element according to at least one of the first focus evaluation value and a control sensitivity value obtained by exposure calculation; An electronic camera characterized by The electronic camera according to claim 1,
The electronic camera according to claim 1, wherein the removing unit increases a band of a frequency component to be removed as the first focus evaluation value is higher. The electronic camera according to claim 1 or 2,
The electronic camera according to claim 1, wherein the removing means lowers a frequency component band to be removed as the control sensitivity value is higher. In the electronic camera as described in any one of Claims 1-3,
The imaging element outputs an imaging signal for each color component through a plurality of color filters arranged corresponding to one pixel,
The calculating means calculates the second focus evaluation value corresponding to the region of the target image based on the imaging signal for each color component of the second imaging signal, for each color component of the first imaging signal. An electronic camera characterized by weighting an imaging signal for each color component of the second imaging signal in accordance with the imaging signal. The electronic camera according to claim 4,
The calculation means calculates the first focus evaluation value for each color corresponding to the region of the target image based on the imaging signal for each color component of the first imaging signal, and calculates the second focus evaluation value. In doing so, weighting is performed based on the first focus evaluation value for each color. The electronic camera according to claim 5,
The electronic camera according to claim 1, wherein the calculation unit increases the weighting ratio for a color component having a higher first focus evaluation value for each color. In the electronic camera as described in any one of Claims 1-6,
The recognizing unit recognizes a region of the target image from the second imaging signal from which the frequency component of the predetermined band has been removed by the removing unit;
The calculation means calculates a second focus evaluation value corresponding to a region of the target image based on the second imaging signal from which the frequency component of the predetermined band has been removed by the removal means,
An electronic camera comprising control means for performing focusing control based on the second focus evaluation value.

Images