JP2015061137A - Imaging apparatus, control method of the same, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique capable of acquiring an evaluation value from a not-reduced imaged image while suppressing increase in a processing load and degrading of precision.SOLUTION: An imaging apparatus comprises: imaging means including an imaging device; reduction means for generating a reduced image by reducing the number of pixels of the imaged image obtained by the imaging means; detection means for detecting a defective pixel in the reduced image; acquisition means for acquiring the position of the defective pixel in the imaged image on the basis of the position of the defective pixel detected by the detection means; and first generation means for generating an evaluation value relating to imaging of the imaged image, on the basis of the imaged image except the pixel at the position acquired by the acquisition means.

Description

  The present invention relates to an imaging apparatus, a control method thereof, and a program.

  In recent years, the number of pixels that can be recorded is increasing in imaging devices such as digital video cameras. This is also closely related to the standard of the monitor that displays the video recorded by the imaging device. That is, there is a shift from a standard called SD (Standard Definition) to a standard called HD (High Definition), and a shift to a monitor having a further resolution is planned in the future.

  The resolution of HD is mainly 1920 pixels wide and 1080 pixels long (hereinafter referred to as 1920 × 1080 pixels), but the resolution of the monitor considered as the next generation called 4K2K is 3840 × 2160 pixels and HD. Four times the number of pixels. In addition, the standard established in digital cinema is 4096 × 2160 pixels, which has a larger number of pixels than 4K2K. Further, as a next generation after 4K2K, a standard called 8K4K is also considered and has a number of pixels of 7680 × 4320 pixels. This is also considered to be more than 8K in the digital cinema.

  Along with such a change, an imaging apparatus is also required to have a high pixel count with respect to the number of pixels that can be recorded. For example, a lens, an image sensor, an image processing LSI that digitally processes a video signal, a video output LSI that outputs a video signal to the outside, and the like correspond to the high pixel count in order to support the above-described Super Hi-Vision recording pixels. There is a need.

  In recent years, a CMOS image sensor used as an image pickup element of an image pickup apparatus may generate various noises due to its structure. Specifically, there are vertical fixed pattern noise (FPN), vertical line noise (PRNU) due to sensitivity nonuniformity, noise due to dark current nonuniformity (DSNU), and the like. In addition, the CMOS image sensor may cause point scratches due to pixel defects. Usually, FPN correction is performed in real time by an image processing LSI in the imaging apparatus.

  In addition, various information (evaluation values) such as autofocus and exposure information, image stabilization information, and the like are acquired by analyzing the video that has undergone such correction. With the increase in the number of pixels of the video signal obtained from the image sensor, more detailed information can be acquired.

  In Patent Document 1, when thinning-out reading is performed to create a reduced image, a V-line flaw occurs in the reduced image based on a flaw address related to the reduced image among flaw addresses detected in the full-size video signal. It discloses that the pixel row is interpolated by the preceding and following pixel rows. As a result, Patent Document 1 appropriately corrects the V-line scratch on the reduced image.

2007-19825 gazette

  Since a video signal with high pixels has a large amount of information per frame, correcting this in real time has a high processing load. Therefore, there is a problem that the image processing LSI becomes large-scale and power consumption increases. Therefore, it has been proposed to record a captured image without performing FPN correction. However, in this case, since the captured image may contain a point scratch or the like, the accuracy of the evaluation value acquired from the captured image May be reduced.

  In the imaging apparatus using the method of Patent Literature 1, as a result, FPN correction is performed on a full-size image, and thus an increase in processing load cannot be avoided. In addition, Patent Document 1 does not particularly disclose an image analysis for obtaining evaluation values such as autofocus and exposure information and image stabilization information.

  The present invention has been made in view of such a situation, and an object thereof is to provide a technique for acquiring an evaluation value from a non-reduced captured image while suppressing an increase in processing load and a decrease in accuracy. .

  In order to solve the above-described problems, the present invention provides an imaging unit including an imaging device, a reduction unit that generates a reduced image by reducing the number of pixels of an image captured by the imaging unit, and a defective pixel is detected in the reduced image. Detecting means for acquiring, the acquiring means for acquiring the position of the defective pixel in the captured image based on the position of the defective pixel detected by the detecting means, and the captured image excluding the pixel at the position acquired by the acquiring means And a first generation unit that generates an evaluation value related to the imaging of the captured image.

  Other features of the present invention will become more apparent from the accompanying drawings and the following description of the preferred embodiments.

  According to the present invention, it is possible to acquire an evaluation value from a non-reduced captured image while suppressing an increase in processing load and a decrease in accuracy.

1 is a block diagram illustrating a configuration of an imaging apparatus 100 according to a first embodiment. The block diagram which shows the structure of the imaging device 150 which concerns on 3rd Embodiment. The conceptual diagram of operation | movement of the reduction image correction part 106. FIG. The conceptual diagram of operation | movement of the detailed evaluation value production | generation part 109 when the reduced image correction | amendment part 106 detects a vertical line flaw (flaw row | line | column) in a reduced image. The conceptual diagram of operation | movement of the detailed evaluation value production | generation part 109 when the reduction image correction part 106 detects a defective pixel in a reduction image. The flowchart which shows the flow of the evaluation value production | generation process which concerns on 1st Embodiment. The flowchart which shows the flow of the evaluation value production | generation process which concerns on 2nd Embodiment.

  Embodiments of the present invention will be described below with reference to the accompanying drawings. The technical scope of the present invention is determined by the claims, and is not limited by the following individual embodiments. In addition, not all combinations of features described in the embodiments are essential to the present invention.

[First Embodiment]
FIG. 1A is a block diagram illustrating a configuration of the imaging apparatus 100 according to the first embodiment. In FIG. 1A, an optical lens 101 captures light of a subject. The optical lens 101 typically includes a focus mechanism for focusing, a diaphragm mechanism for adjusting the light amount and depth of field, and a zoom mechanism for changing the focal length. However, a zoom mechanism is not prepared for a single focus lens. In the case of a pan focus lens, the focus is only one point at infinity, and no focus mechanism is prepared. In order to reduce the cost of the lens, there is a case where an ND filter for adjusting the amount of light is used instead of an aperture position at one point. In the present embodiment, the optical lens 101 may be any optical lens as long as it forms an image of light on the image sensor 102 and enters the image.

  The image sensor 102 receives incident light from the optical lens 101, converts it into an electrical signal, and outputs it. Typical examples include a charge coupled device (CCD) image sensor and a CMOS image sensor. As the image sensor 102, an image sensor that directly outputs an analog video signal may be used. Alternatively, an image sensor that internally performs AD (analog-digital) conversion processing and outputs a video signal in a digital data format such as LVDS (Low voltage differential signaling) may be used.

  The video distributor 103 distributes the video signal from the image sensor 102 into a plurality of parts. The recording medium 104 records the full size video signal distributed from the video distributor 103. In the present embodiment, FPN correction is not performed on the recorded full-size video signal.

  The video compression unit 105 performs a shrink process (a process of adding the entire video signal, a process of thinning out a part of the video signal, etc.) on the full-size video signal distributed from the video distributor 103, and The number of pixels in each frame (captured image) is reduced. A reduced image is generated by the shrink process. Here, shrink processing is performed so that the number of pixels is reduced to such an extent that FPN correction can be performed in real time by a reduced image correction unit 106 described later.

  The reduced image correction unit 106 performs FPN correction on the reduced image obtained by the shrink processing in the video compression unit 105 in real time. Here, FPN correction is a collective term for various corrections. For example, an OB clamp that determines the black level of a video signal, correction of fixed pattern noise (FPN), and vertical line noise (PRNU) due to sensitivity nonuniformity. Including corrections. In addition, correction of noise (DSNU) due to dark current non-uniformity, correction of point scratches due to pixel defects, and the like are also included. In addition to this, all the corrections specific to the image sensor performed in real time are included in the FPN correction. The reduced image correction unit 106 transmits the address information of the vertical line scratch and the point scratch detected along with the FPN correction to the detailed evaluation value generation unit 109. Note that the reduced image correcting unit 106 may detect only the address information of the vertical line scratch and the point scratch without correcting the reduced image.

  The development processing unit 107 has a typical image processing function in the imaging apparatus 100, and performs various development processes such as scratch correction, including noise reduction, gamma correction, knee, digital gain, and the like. The development processing unit 107 also includes a storage circuit that stores setting values necessary for each correction and image processing.

  The display unit 108 displays the video developed by the development processing unit 107. The display unit 108 is typically a liquid crystal monitor or a viewfinder attached to the imaging apparatus 100. The user of the imaging apparatus 100 can check the angle of view and exposure through the display unit 108.

  The detailed evaluation value generation unit 109 generates an evaluation value based on each frame (captured image) of the full-size video signal distributed from the video distributor 103. The evaluation value may be of any type as long as it indicates information related to the captured image. Examples include a focus evaluation value, an exposure evaluation value, and a blur evaluation value of a captured image. The focus evaluation value, the exposure evaluation value, and the shake evaluation value can be used for focus control, exposure control, and camera shake correction for imaging the next frame, respectively. The full-size video signal includes vertical line scratches and point scratches. However, as described above, since the FPN correction is not performed on the full-size video signal, the position of the vertical line scratch or the point scratch in the full-size image is not detected. Therefore, the detailed evaluation value generation unit 109 receives the address information of the vertical line scratch and the point scratch detected by the reduced image correction unit 106, and converts the address information in the reduced image into the address information in the full size image. Thereby, the detailed evaluation value generation unit 109 can know the positions of the vertical line scratch and the point scratch in the full-size image. Then, the detailed evaluation value generation unit 109 excludes the pixels at the addresses of the vertical line scratch and the point scratch from the calculation for generating the evaluation value. The detailed evaluation value generation unit 109 transmits the evaluation value to the image sensor control unit 110 and the lens control unit 111.

  The imaging element control unit 110 and the lens control unit 111 are in a state where the next captured image is appropriate based on the evaluation values (focus evaluation value, exposure evaluation value, blur evaluation value, etc.) received from the detailed evaluation value generation unit 109. The image sensor 102 and the optical lens 101 are controlled so that

  Next, the operation of the reduced image correction unit 106 will be described in detail with reference to FIG. 2A. Here, a shrink process (for example, a shrink process from 7680 × 4320 pixels to 1920 × 1080 pixels) from a full-size image of the image sensor 102 to a 1/4 reduced image will be described as an example.

  Reference numeral 201 indicates a general pixel configuration of the image sensor 102. The imaging element 102 includes an effective imaging area that receives light from the lens and converts a video signal, and an optical black (OB) area that blocks the light from the lens and outputs a black level. In particular, an OB area arranged above or below the effective imaging area is called a vertical OB area, and an OB area arranged on the left or right side of the effective imaging area is called a horizontal OB area. These OB areas are mainly used for horizontal OB clamping for adjusting the black level of the video signal, FPN correction of the image sensor, and the like.

  Reference numeral 202 indicates an enlarged part (64 pixels) of the effective imaging area of the imaging element 102. When the captured image is compressed to ¼, the reduced image correction unit 106 compresses four pixels that are continuous in the horizontal and vertical directions, a total of 16 pixels, into one pixel. As a compression method, many methods have been proposed, such as a simple averaging method, a thinning method for extracting one pixel from the 16 pixels, and a method using a filter using information on surrounding pixels. Here, the case of averaging will be described as an example.

  Reference numeral 203 indicates a result of averaging the 16 pixels indicated by the reference numeral 202 into one pixel. The reduced image correction unit 106 shrinks the captured image to ¼ by applying the shrinkage of the number of pixels, which was originally 64 pixels, to 4 pixels in this way for all the pixels.

  Next, the operation of the detailed evaluation value generation unit 109 will be described in detail with reference to FIGS. 2B and 2C.

  FIG. 2B shows the operation of the detailed evaluation value generation unit 109 when the reduced image correction unit 106 detects vertical line flaws (scratches) in the reduced image. Of the four pixels shown enlarged in the lower left of FIG. 2B, the second and fourth pixels are flaw rows. When the reduced image correcting unit 106 detects one flaw row (vertical line scratch) in the reduced image, the reduced image correcting unit 106 transmits the address of the vertical line scratch to the detailed evaluation value generating unit 109. As shown in FIG. 2A, when the reduced image is generated by the 1/4 shrink, the detailed evaluation value generation unit 109 selects the second and the second corresponding to the vertical line scratch of the reduced image in the input full size image. It is determined that the 4th column is a column with vertical line scratches (address conversion). Then, the detailed evaluation value generation unit 109 excludes the pixel corresponding to the vertical line scratch from the calculation target pixel for calculating the evaluation value.

  FIG. 2C shows the operation of the detailed evaluation value generation unit 109 when the reduced image correction unit 106 detects a defective pixel in the reduced image. Of the four pixels shown enlarged in the lower left of FIG. 2C, the fourth pixel is a defective pixel. When one reduced pixel is detected in the reduced image, the reduced image correction unit 106 transmits the address of the defective pixel to the detailed evaluation value generation unit 109. When the reduced image is generated by ¼ shrink as shown in FIG. 2A, the detailed evaluation value generation unit 109, in the input full-size image, the fourth 16 corresponding to the defective pixel of the reduced image. The pixel is determined to be a pixel that may be a defective pixel. Then, the detailed evaluation value generation unit 109 excludes the pixel corresponding to the defective pixel from the calculation target pixel for calculating the evaluation value.

  In the description of FIG. 2B and FIG. 2C, a pixel defect in a column unit is called a vertical line defect, and a pixel defect in a pixel unit is called a defective pixel to distinguish them. However, even if it is a vertical line flaw, each pixel constituting the vertical line flaw is a defect that should be excluded from the evaluation value calculation target. In this respect, a defective pixel in which the vertical line flaw is also a pixel defect of a pixel unit. And there is no difference. Further, the defective pixel to be excluded from the evaluation value calculation target is not limited to the type described in FIGS. 2B and 2C. Therefore, when it is referred to as a defective pixel in the present application, depending on the context, not only the defective pixel of the type shown in FIG. May also be included.

  Next, an evaluation value generation process performed by the imaging apparatus 100 will be described with reference to FIG. 3A. In FIG. 3A, the processing of S1 to S7 is executed by the reduced image correction unit 106, and the processing of S11 to S16 is executed by the detailed evaluation value generation unit 109.

  In S <b> 1, the reduced image correction unit 106 starts receiving a reduced image from the video compression unit 105. In S2, the reduced image correction unit 106 starts FPN correction for the reduced image. In S3, the reduced image correction unit 106 performs FPN correction on the current frame. Along with this FPN correction, the reduced image correction unit 106 detects defective pixels (such as vertical line scratches in FIG. 2B and defective pixels in FIG. 2C) in the reduced image. The detection of vertical line scratches and defective pixels in FPN correction refers to a pixel or a column of pixels that exceeds a predetermined threshold based on the gain values of the image signals of the imaging device 102 and the imaging device 100, and this threshold value is the imaging device 102. And different depending on the imaging device 100.

  In S4, the reduced image correction unit 106 determines whether a vertical line defect or a defective pixel is detected in S3. If detected, the process proceeds to S5, and if not, the process proceeds to S6. In S <b> 5, the reduced image correction unit 106 transmits the detected vertical line scratch or defective pixel address information to the detailed evaluation value generation unit 109. Note that the reduced image correction unit 106 may transmit the address information to the detailed evaluation value generation unit 109 after converting the address information into address information in a full-size image. Alternatively, the reduced image correction unit 106 may transmit the address information before conversion to the detailed evaluation value generation unit 109, and the detailed evaluation value generation unit 109 may perform conversion processing in S13 described later. In other words, a function (address conversion function) for acquiring address information in a full-size image based on address information in the reduced image may be included in the reduced image correction unit 106, or the detailed evaluation value generation unit 109 It may be included. In the latter case, the reduced image correction unit 106 transmits, to the detailed evaluation value generation unit 109, the shrink information indicating what shrink processing is generated by the shrink process together with the address information.

  In S6, the reduced image correction unit 106 determines whether or not to continue the FPN correction. When the correction is continued, the process returns to S3, and the same process is repeated for the next frame. When the correction is not continued (for example, when the imaging apparatus 100 is powered off), the process proceeds to S7, and the reduced image correction unit 106 ends the FPN correction.

  On the other hand, in S <b> 11, the detailed evaluation value generation unit 109 starts receiving a full-size image from the video distributor 103. In S12, the detailed evaluation value generation unit 109 starts evaluation value calculation processing based on the full-size image. Evaluation values can be obtained by calculating the focus position for autofocus, calculating the brightness of the image for exposure adjustment, and calculating the shake amount and vector for image stabilization (focus evaluation value, exposure evaluation value). , And blur evaluation values). Here, in particular, an evaluation value that is more effective for controlling the imaging apparatus 100 when a full-size image is used than a reduced image is set as a calculation target.

  In step S <b> 13, the detailed evaluation value generation unit 109 receives address information and shrink information from the reduced image correction unit 106. The detailed evaluation value generation unit 109 converts the address information in the reduced image into address information in the full-size image based on the shrink information. Then, the detailed evaluation value generation unit 109 excludes the pixel indicated by the converted address information, that is, the pixel corresponding to the vertical line scratch or the point scratch from the target of the evaluation value calculation process. As described above, when the reduced image correction unit 106 converts the address information in S5, the conversion process in S13 is not necessary.

  In S14, the detailed evaluation value generation unit 109 generates an evaluation value by calculation based on the full-size image to which the exclusion process is applied in S13. The evaluation value generated in this way is transmitted to the image sensor control unit 110 and the lens control unit 111, and is used for imaging a subsequent frame.

  In S15, the detailed evaluation value generation unit 109 determines whether or not to continue the evaluation value calculation process. When the evaluation value calculation process is continued, the process returns to S13, and the same process is repeated for the next frame. When the evaluation value calculation process is not continued (for example, when the imaging apparatus 100 is turned off or when the imaging apparatus 100 enters an operation mode in which an evaluation value is not required to be generated), the process proceeds to S16 and detailed evaluation is performed. The value generation unit 109 ends the evaluation value calculation process.

  As described above, according to the first embodiment, the imaging apparatus 100 detects address information of vertical line flaws and defective pixels by performing FPN correction on the reduced image, and the address information is full-sized. Is converted into address information in the image. Then, the imaging apparatus 100 excludes the pixel corresponding to the converted address information from the full-size image, and generates an evaluation value based on the full-size image.

  Thereby, even if it does not perform FPN correction | amendment with respect to a full-size image, the pixel and defect pixel corresponding to a vertical-line flaw can be excluded, and an evaluation value can be produced | generated based on a full-size image. Therefore, it is possible to acquire an evaluation value from a full-size image (a non-reduced captured image) while suppressing an increase in processing load and a decrease in accuracy.

[Second Embodiment]
In the first embodiment, in S13 of FIG. 3A, the detailed evaluation value generation unit 109 does not consider a region that is a target of evaluation value calculation in a full-size image, and does not consider a pixel corresponding to a vertical line scratch or a defective pixel Exclusion process was performed. However, in practice, for example, as shown as “focus calculation area” in the upper right of FIGS. 2B and 2C, only a partial area of the full-size image may be an evaluation value calculation target area. Therefore, in the present embodiment, in order to reduce the processing load, a case will be described in which the exclusion process is performed when a pixel corresponding to a vertical line scratch or a defective pixel is included in the evaluation value calculation target region. In this embodiment, the basic configuration of the imaging apparatus 100 is the same as that of the first embodiment (see FIG. 1A).

  With reference to FIG. 3B, the evaluation value generation process by the detailed evaluation value generation unit 109 of the imaging apparatus 100 will be described. FIG. 3B replaces S11 to S16 in FIG. 3A. Steps in which the same or similar processing as in FIG. 3A is performed are denoted by the same reference numerals and description thereof is omitted. The processing of the reduced image correction unit 106 is the same as that in the first embodiment (see FIG. 3A).

  In step S <b> 21, the detailed evaluation value generation unit 109 receives the address information and the shrink information from the reduced image correction unit 106, and determines whether there are vertical line flaws or defective pixels. If it exists, the process proceeds to S22. If it does not exist, the exclusion process is unnecessary, and the process proceeds to S14.

  In S22, the detailed evaluation value generation unit 109 converts the address information in the reduced image into the address information in the full-size image based on the shrink information. Then, the detailed evaluation value generation unit 109 determines whether or not vertical line scratches or defective pixels are present in the evaluation value calculation target area. If it exists, the process proceeds to S23. If it does not exist, the exclusion process is unnecessary, and the process proceeds to S14. As in the first embodiment, when the reduced image correction unit 106 converts the address information in S5, the conversion process in S22 is unnecessary.

  In S23, the detailed evaluation value generation unit 109 performs an evaluation value calculation process on the pixel indicated by the converted address information, that is, the pixel in the target area of the evaluation value calculation among the pixels corresponding to the vertical line scratches and the defective pixels. Exclude from

  As described above, according to the second embodiment, the imaging apparatus 100 performs the exclusion process when a pixel corresponding to a vertical line scratch or a defective pixel is included in the evaluation value calculation target region. Thereby, the processing load is reduced.

[Third Embodiment]
In the third embodiment, a configuration that can switch between generating an evaluation value based on a full-size image or generating an evaluation value based on a reduced image will be described. When a detailed evaluation value is unnecessary, the processing load can be reduced by generating the evaluation value based on the reduced image.

  FIG. 1B is a block diagram illustrating a configuration of an imaging apparatus 150 according to the third embodiment. In FIG. 1B, blocks having the same or similar functions as those of the imaging apparatus 100 in FIG. 1A are denoted by the same reference numerals and description thereof is omitted.

  The simple evaluation value generation unit 112 receives the reduced image after the FPN correction is performed from the reduced image correction unit 106, and generates an evaluation value based on the reduced image. Then, the simple evaluation value generation unit 112 transmits the evaluation value to the image sensor control unit 110 and the lens control unit 111.

  The switching unit 113 generates an evaluation value based on a full-size image by controlling the detailed evaluation value generation unit 109 (first generation unit) and the simple evaluation value generation unit 112 (second generation unit). Or whether to generate an evaluation value based on the reduced image. Thus, for example, the subject is first focused roughly using the in-focus position calculated from the reduced video, and then in detail using the in-focus position calculated from the full-size image. Processing such as focusing can be performed. During the process of roughly focusing, the evaluation value based on the full-size image is not calculated by the detailed evaluation value generation unit 109, so the processing load is reduced.

  As described above, according to the third embodiment, whether the imaging device 150 generates an evaluation value based on a full-size image or an evaluation value based on a reduced image, depending on the situation. Switch. Thereby, the processing load of evaluation value calculation is reduced.

[Other Embodiments]
The present invention can also be realized by executing the following processing. That is, software (program) that realizes the functions of the above-described embodiments is supplied to a system or apparatus via a network or various storage media, and a computer (or CPU, MPU, etc.) of the system or apparatus reads the program. It is a process to be executed.

Claims (10)

Imaging means including an imaging element;
Reduction means for generating a reduced image by reducing the number of pixels of an image taken by the imaging means;
Detecting means for detecting defective pixels in the reduced image;
Obtaining means for obtaining the position of the defective pixel in the captured image based on the position of the defective pixel detected by the detecting means;
First generation means for generating an evaluation value related to imaging of the captured image based on the captured image excluding the pixel at the position acquired by the acquisition means;
An imaging apparatus comprising: A correction unit that corrects defective pixels derived from the image sensor in the reduced image;
The imaging apparatus according to claim 1, wherein the detection unit detects the defective pixel in accordance with correction by the correction unit. Second generation means for generating the evaluation value based on the reduced image corrected by the correction means;
Switching means for switching whether the first generation means generates the evaluation value or the second generation means generates the evaluation value;
The imaging apparatus according to claim 2, further comprising: The first generation unit is configured to generate the evaluation value based on a partial region of the captured image,
The imaging apparatus further includes a determination unit that determines whether or not the pixel at the position acquired by the acquisition unit is included in the partial area.
The said 1st production | generation means produces | generates the said evaluation value except the pixel contained in the said one part area | region among the pixels of the position acquired by the said acquisition means. The Claim 1 thru | or 3 characterized by the above-mentioned. The imaging device according to any one of the above. The imaging apparatus according to claim 1, further comprising a control unit that controls next imaging by the imaging unit based on the evaluation value. The imaging device according to claim 1, wherein the defective pixel includes a defective pixel in a column unit or a defective pixel in a pixel unit derived from the imaging element. The imaging apparatus according to claim 1, wherein the evaluation value includes a focus evaluation value, an exposure evaluation value, or a blur evaluation value of the captured image. The imaging apparatus according to claim 1, further comprising a distribution unit that distributes the captured image to the detection unit and the first generation unit. A method for controlling an imaging apparatus including an imaging unit including an imaging element,
A reduction step in which the reduction unit of the imaging apparatus generates a reduced image by reducing the number of pixels of the image captured by the imaging unit;
A detection step in which the detection means of the imaging device detects a defective pixel in the reduced image;
The acquisition unit of the imaging device acquires the position of the defective pixel in the captured image based on the position of the defective pixel detected in the detection step;
A first generation step in which a first generation unit of the imaging apparatus generates an evaluation value related to imaging of the captured image based on the captured image excluding the pixel at the position acquired in the acquisition step;
A control method comprising:   The program for functioning a computer as each means except the imaging means of the imaging device of any one of Claims 1 thru | or 8.

Images