JP6336337B2 - Imaging apparatus, control method therefor, program, and storage medium - Google Patents

Description

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

  The light that can be perceived by human beings is generally in the range of about 400 nm to about 680 nm (hereinafter, visible light region). Conventionally, in an imaging apparatus such as a digital camera or a digital video camera, in order to capture only light within the above range, an ultraviolet light removal filter of 400 nm or less or an infrared light range of 680 nm or more is provided in front of the image sensor for imaging. The removal filter etc. are arranged.

  On the other hand, it is desired to detect infrared light in order to suppress the focus shift due to the type of light source in the imaging apparatus. For example, in Patent Document 1, a wavelength component detection sensor that detects a visible light region and an infrared light region is arranged, and the defocus amount detected by the focus detection sensor is corrected according to two output differences.

JP 2006-98771 A

  However, when the sensor disclosed in Patent Document 1 is used as a photometric sensor of a single-lens reflex camera, the following problems arise.

  In the technique disclosed in Patent Document 1, a sensor having sensitivity in an infrared light region is used. For this reason, when the exposure amount determination calculation of the imaging sensor is performed with this sensor, the photometric result is shifted due to the sensitivity difference in the infrared light region between the sensors.

  The present invention has been made in view of the above-described problems, and an object of the present invention is to perform imaging using a photometric sensor having a plurality of pixels having sensitivity in the infrared light region and the visible light region. Is to provide a device.

  An imaging apparatus according to the present invention includes a photometric sensor having a plurality of pixels having sensitivity in an infrared light region and a visible light region, and the photometric sensor is divided into a plurality of pixel groups, and infrared light is divided into the plurality of pixel groups. Acquisition means for acquiring image information of a region and image information of a visible light region, and generating a visible light component obtained by subtracting an infrared light component based on the image information of the infrared light region from the image information for each of the plurality of pixel groups Generated by the subtracting means, a first processing means for performing a first process using the image information in the infrared light range and the image information in the visible light range obtained by the obtaining means, and the subtracting means. And a second processing means for performing a second process using the visible light component.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to provide the imaging device which can perform the process using the photometric sensor which has a some pixel which has a sensitivity in an infrared light region and a visible light region favorably.

1 is a block diagram illustrating a configuration of an imaging apparatus according to an embodiment of the present invention. 6 is a flowchart for describing shooting processing in the imaging apparatus according to the embodiment. 6 is a flowchart for describing shooting processing in the imaging apparatus according to the embodiment. The figure for demonstrating the pixel arrangement | sequence in the imaging device of one Embodiment. FIG. 5 is a diagram for explaining optical characteristics in the imaging apparatus according to the embodiment. FIG. 5 is a diagram for explaining optical characteristics in the imaging apparatus according to the embodiment. The figure for demonstrating the optical characteristic of a light source. The figure which simplified and showed the color difference plane used as a reference | standard when extracting a specific color. The figure for demonstrating the optical characteristic of a to-be-photographed object. The figure which simplified and showed the color difference plane used as a reference | standard when extracting a specific color. The figure which simplified and showed the color difference plane used as a reference | standard when extracting a specific color. The figure for demonstrating defocus amount correction | amendment.

  Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings. FIG. 1 is a diagram showing a configuration of an imaging apparatus (camera system) according to an embodiment of the present invention. In FIG. 1, reference numeral 100 denotes a camera body, 200 denotes a lens, and 300 denotes an illumination device (strobe).

  First, the configuration of the camera body 100 and the lens 200 will be described. Reference numeral 101 denotes a CPU (hereinafter referred to as a camera microcomputer) which is a microcomputer that controls each unit of the camera 100. Reference numeral 102 denotes an imaging device such as a CCD or CMOS sensor including an infrared cut filter and a low-pass filter. An image of a subject is formed on the imaging surface by the lens 200. Reference numeral 103 denotes a shutter that shields the image sensor 102 when not photographing, and opens when photographing to guide the light beam to the image sensor 102.

  A half mirror 104 reflects a part of the light incident from the lens 200 when not photographing, and forms an image on the focus plate 105. A photometric sensor 106 performs light source determination processing, specific color detection processing, and photometry processing by using an image sensor such as a CCD or CMOS sensor. In the present embodiment, FIGS. 4 and 5 are used in the case where a Bayer array CMOS sensor composed of R (red), G (green), B (blue), and IR (infrared light) pixels is used as the photometric sensor 106. Will be described later.

  Further, the photometric sensor 106 has sensitivity in the visible light region and the infrared light region as described above, and a part of the light beam outside the optical axis out of the light diffused by the focus plate 105 and passed through the pentaprism 107. Is disposed at a position where the light enters. A pentaprism 107 guides the subject image formed on the focusing plate 105 to the photometric sensor 106 and the eyepiece 113. Reference numeral 108 denotes a memory such as a RAM or a ROM connected to the CPU 101.

  Reference numeral 109 denotes a focus detection circuit. A part of the light beam that enters from the lens 200 and passes through the half mirror 104 is reflected by the sub-mirror 110 and guided to the focus detection sensor in the focus detection circuit 109 to perform focus detection. Reference numeral 111 denotes an image processing / calculation CPU (hereinafter referred to as ICPU) of the photometric sensor 106. Reference numeral 112 denotes a memory such as a RAM or a ROM connected to the ICPU 111. Reference numeral 113 denotes an eyepiece for the user to check the object scene. In the present embodiment, the CPU 111 dedicated to the photometric sensor 106 is prepared, but the photometric sensor 106 may be controlled using the camera microcomputer 101. Reference numeral 201 denotes a CPU (hereinafter referred to as LPU) in the lens, which sends distance information to the subject to the camera microcomputer 101.

  Next, the configuration of the strobe 300 will be described. Reference numeral 301 denotes a microcomputer SCPU (hereinafter referred to as a strobe microcomputer) that controls the operation of each unit of the strobe 300. A light amount control device 302 includes a booster circuit for boosting the battery voltage to light the light source 305, a current control circuit for controlling start and stop of light emission, and the like. A zoom optical system 303 includes a panel such as a Fresnel lens and changes the irradiation angle of the strobe 300. Reference numeral 304 denotes a reflector, which collects the luminous flux of the light source and irradiates the subject. Reference numeral 305 denotes a light source such as a xenon tube or a white LED.

  Next, the operation of the camera body 100 will be described with reference to the flowcharts shown in FIGS. Here, it is assumed that the camera 100 is turned on and is in a shooting standby state.

  In step S101, the CPU 101 determines whether or not the first stroke of the shutter switch (hereinafter referred to as SW1) is turned on. If it is on, the process proceeds to step S102. In step S102, the ICPU 111 drives the photometric sensor 106. The details of driving the photometric sensor 106 will be described later with reference to FIG.

  In step S103, the CPU 101 or the ICPU 111 performs a known phase difference AF (autofocus) process. The AF evaluation value is calculated, the focus lens of the lens 200 is driven via the LPU 201, and the focus lens is moved to the focus lens position where the AF evaluation value is maximized.

  In step S104, the CPU 101 determines whether or not the second stroke of the shutter switch (hereinafter referred to as SW2) is turned on. If the shutter switch SW2 is off, the CPU 101 confirms the state of the shutter switch SW1 in step S105. If the shutter switch SW2 remains on, the process returns to step S102. If the shutter switch SW2 is off, the process returns to step S101.

  If the shutter switch SW2 is on in step S104, the CPU 101 executes main imaging processing in step S106 based on the exposure control value obtained in the photometric sensor processing in step S102.

  FIG. 3 is a flowchart showing details of the photometric sensor process in step S102 of FIG. In step S201, the ICPU 111 determines a photometric sensor accumulation time (Tv) and performs photometric accumulation processing. In step S202, the ICPU 111 divides the captured image into a plurality of areas (pixel groups), and calculates (acquires) an average value (image information) of R, G, B, and IR for each area. The size of the area is an arbitrary size, and the process may proceed to the next step S203 without calculating the average value.

  In step S203, the ICPU 111 performs a known defocus amount correction process on the average values of R, G, B, and IR for each area calculated in step S202. The defocus amount correction process is a process for suppressing autofocus defocusing according to the output difference P between the visible light region and the infrared light region. The output difference P is calculated by the following equation, for example.

P = (a1 * R + b1 * G + c1 * B + d1 * IR) / (a2 * R + b2 * G + c2 * B + d2 * IR) (Formula 1)
Here, a1 = 1, b1 = 4, c1 = 1, d1 = −10, a2 = 1, b2 = 1, c2 = 1, d2 = 1. Details of the defocus amount correction processing will be described later with reference to FIGS.

  In step S204, the ICPU 111 performs infrared light subtraction processing (infrared light component subtraction processing) on the average values of R, G, B, and IR for each area calculated in step S202 by the following formula.

R ′ = R−kr × IR (Formula 2)
G ′ = G−kg × IR (Formula 3)
B ′ = B−kb × IR (Formula 4)
Here, kr = 1.0, kg = 0.3, kb = 0.0.

  In the above calculation, R ′, G ′, B ′ (visible) for which infrared light subtraction processing is performed for each color by subtracting the average value of IR multiplied by the gain from the average value of R, G, B. (Light component) is calculated (generated).

  In step S205, the ICPU 111 performs a known light source determination process. The light source determination processing result is used for image processing such as auto white balance processing. In step S206, the ICPU 111 performs a known feature region detection process using R ′, G ′, and B ′. The feature area detection process is a process for detecting a feature area that satisfies a predetermined condition such as a human face area or a specific color area in an imaging screen. The result of the feature area detection processing is also used for AF processing, photometry processing, and the like, and suitable AF processing and photometry processing can be performed on the feature region.

  In step S207, the ICPU 111 calculates R, G, B for each area calculated in step S202, or the photometric output value Y obtained by adding the integrated values of R ′, G ′, B ′ for each area calculated in step S204 at an arbitrary ratio. Is calculated. Y is calculated | required by the following formula | equation, for example. Here, the integrated values of R, G, and B are R_int, G_int, and B_int, respectively, and the integrated values of R ′, G ′, and B ′ are R′_int, G′_int, and B′_int, respectively.

Y = Ra * R_int + Ga * G_int + Ba * B_int (Formula 5)
Y = Ra × R′_int + Ga × G′_int + Ba × B′_int (Formula 6)
The luminance value Y for each area can be obtained by entering appropriate values for the mixing ratios Ra, Ga, Ba of the R pixel, G pixel, and B pixel. For example, Ra = 0.299, Ga = 0.487, and Ba = 0.114. Details of the photometric calculation process will be described later with reference to FIGS.

  A weighted average value Yw of a photometric output value Y for each area and a weighting coefficient for exposure control value k described later is calculated from the following equation.

Yw = ΣYij × kij (Expression 7)
Yij and kij indicate the photometric output value Y and the exposure control value weighting coefficient k for each area. i is the number of the area in the horizontal direction and j is the number of the area in the vertical direction, and the total number varies depending on the number of divided areas.

  The ICPU 111 calculates an exposure control value (shutter speed, aperture value, sensitivity, etc.) at the time of actual photographing based on the subject luminance obtained from the weighted average value Yw, the accumulation time, and the like. Note that the method for determining the exposure control value (exposure amount) is not directly related to the present embodiment, and an arbitrary method can be adopted, and the detailed description thereof is omitted.

  The exposure control weighting coefficient k is a coefficient for changing the weighting of the photometric output value of each photometric area in accordance with the imaging mode, photometric mode, shooting scene, etc. of the camera 100. For example, if the photometry mode is the center-weighted photometry mode, the weighting coefficient for the photometry area near the center of the image is set larger than the weighting coefficient for the vicinity of the periphery of the image. In the case of having a feature area detection function, in the imaging mode using the feature area detection function, the weighting coefficient for the photometry area corresponding to the feature area is set larger than the weighting coefficients for the other photometry areas.

  In addition, when the camera has a scene discrimination function for automatically discriminating what kind of shooting scene is in accordance with the situation of the object scene, an optimum weighting coefficient for the discriminated scene is set for each photometric area. Since the exposure control weighting coefficient k is not directly related to the present embodiment, further detailed description thereof is omitted.

  Next, FIG. 4 is a diagram showing the pixel arrangement of the photometric sensor 106, FIG. 5 is a diagram showing the optical characteristics of the color filter, FIG. 6 is a diagram showing the spectral characteristics of the image sensor 102 for photographing, and FIG. Defocus amount correction, light source determination, characteristic color detection, and photometric calculation processing will be described with reference to a diagram showing spectral characteristics of a light source.

  In this embodiment, as shown in FIG. 4, R (red), G (green), B (blue), and IR (infrared light) pixels are M × N (vertical M pixels, horizontal N pixels) Bayer shape. An example in which side-by-side CMOS sensors are used will be described.

  FIG. 5A shows the spectral characteristics of the R, G, B, and IR pixels of the photometric sensor 106. FIG. 5B shows spectral characteristics of R ′, G ′, and B ′ obtained by performing infrared light subtraction processing on the output of FIG. FIG. 6 shows the spectral characteristics of the imaging element 102 for photographing. The infrared cut filter is an example of 680 nm. From FIG. 5B and FIG. 6, it can be confirmed that the difference in the infrared light region between the spectral characteristics of the two sensors can be suppressed.

  However, in the calculation of the infrared light subtraction processing (Equation 2) to (Equation 4), calculation errors due to multiplication and difference calculation may occur. In general, computation is performed using an integer type in order to reduce the amount of computation and the circuit scale. In order to represent the first decimal place of kr, kg, kb, it is expressed by multiplying kr, kg, kb by 10 and then dividing by 10. When the average value for each color calculated in step S202 is R = 100, G = 200, B = 50, and IR = 40, the infrared light subtraction processing results in step S204 are obtained from (Expression 2) to (Expression 4). R ′ = 60, G ′ = 188, and B ′ = 46. When the average value for each color calculated in step S202 is 10% of the above values, R = 10, G = 20, B = 5, IR = 4, the result of the infrared light subtraction process in step S204 is (Expression 2). From (Expression 4), R ′ = 6, G ′ = 19, and B ′ = 5.

  As described above, even if the ratio of the average values R, G, and B for each color is the same, the ratio of R ′, G ′, and B ′ after the calculation may change. The change in the ratio occurs when R, G, and B are small, and causes a calculation error. As described above, it is desirable to use the average values R, G, and B for each color in the process that does not require the infrared light subtraction process.

  In the defocus amount correction process in step S203, it is only necessary to detect the ratio between the visible light region and the infrared light region. Therefore, the output difference P is calculated from (Equation 1) using the average values R, G, and B for each color. In the light source determination processing in step S205 and the feature region detection processing in step S206, an artificial light source such as an LED with little light in the infrared light region as shown in FIG. 7A and an infrared light as shown in FIG. In order to suppress a hue shift under sunlight including a lot of light areas (at the time of fine weather), processing is performed using R ′, G ′, and B ′ that have been subjected to infrared light subtraction processing in step S204.

  In the photometric calculation process in step S207, R ′, G ′, and B ′ subjected to the infrared light subtraction process in step S204 are used in order to suppress the spectral sensitivity difference between the photometric sensor 106 and the imaging element 102 for photographing ( The photometric output value Y is calculated from Equation 6).

  However, when the average values R, G, and B for each color calculated in step S202 are small, the calculation error described above occurs. Therefore, the photometric output value Y may be calculated from (Equation 5) using the average values R, G, and B for each color. At this time, a shift occurs in the photometric calculation result by the difference in spectral sensitivity between the photometric sensor 106 and the imaging element 102 for photographing, but the above-described calculation error can be suppressed.

  Further, the equation for calculating the photometric output value Y may be switched according to the output of the average values R, G, and B for each color calculated in step S202. For example, when the average values R, G, and B for each color are larger than a certain threshold (Equation 6), when it is smaller, (Equation 5) is used for the calculation.

  Next, the specific color detection process using the infrared light subtraction process will be described with reference to FIGS.

  In extraction of a specific color, first, light source determination processing in a shooting environment is performed, and auto white balance control is performed. This is because the color temperature of the light source is estimated from the luminance information and color information obtained from the image in the screen, and when a white subject is photographed, the R, G, B pixel outputs are at the same level. , G and B are known techniques for adjusting the gain.

  FIG. 8 is a simplified version of the R, G, B pixel output of the photometric sensor 106 (spectral characteristics: FIG. 4A) on the color difference plane of the vertical axis R / G and the horizontal axis B / G. This is shown as a graph.

  From the image data subjected to white balance control, an average value for each color component is set as a color difference signal of B / G value and R / G value for each area. Since the range in which the specific color is plotted on the two-dimensional plane (color space) of the color difference signal is determined, a specific color frame is determined from information on the specific color sampled in advance in the color space, It is determined whether or not it falls within a specific color frame.

  For example, when the skin color is extracted as the specific color, since it is known that the skin color exists in the upper left (second quadrant) range in the color space shown in FIG. 8, the skin detection frame 400 is set in the upper left range. Extract skin color.

  FIG. 9A shows the spectral characteristics of skin color, and FIG. 9B shows the spectral characteristics of black fibers including an infrared reflecting material. FIG. 10 shows the skin color coordinates 410 and the black fiber coordinates 420 including the infrared reflecting material in the color difference plane of FIG. 8 under the LED light source of FIG. 7A and the sunlight of FIG. Shows where to plot.

  Under the LED light source of FIG. 10A (spectral characteristics: FIG. 7A), the skin color 410 is plotted in the skin detection frame 400 because there is little light in the infrared light region. The black fiber 420 including the infrared reflecting material is plotted at the center of the color difference plane which is an achromatic color.

  However, in the sunlight of FIG. 10B (at the time of fine weather) (spectral characteristics: FIG. 7B), the light in the infrared region is lower than that of the LED light source (spectral characteristics: FIG. 7A). Since it is large, R / G is relatively large and B / G is small relative to FIG. That is, the skin color 410 may be plotted outside the skin detection frame 400. Moreover, the black fiber 420 containing an infrared reflective material may be plotted in the skin detection frame 400, and may be erroneously detected as skin color. In addition, other substances that reflect a large amount of infrared rays may be misdetected because the position plotted on the color difference plane is shifted by the light source.

  FIG. 11 shows a color difference plane after gain adjustment is performed on R ′, G ′, B ′ (spectral characteristics: FIG. 5B) subjected to the above-described infrared light subtraction process. 7 shows where the skin color 410 and the black fiber 420 including the infrared reflecting material are plotted in the color space in the case of the LED light source and the sunlight of FIG. 7B (at the time of fine weather).

  Skin color 410 is skin detection both under the LED light source of FIG. 11A (spectral characteristics: FIG. 7A) and under sunlight (fine weather) of FIG. 11B (spectral characteristics: FIG. 7B). Plotted in frame 400. The black fiber 420 including the infrared reflecting material is plotted at the center of the color space which is an achromatic color. By subtracting the infrared light region for each color by the infrared light subtraction process, it is possible to suppress the shift of the plot position on the color difference plane regardless of the presence or absence of infrared light from the light source.

  Next, the defocus amount correction process will be described with reference to FIG. The focus detection circuit 109 calculates the defocus amount def by a known focus detection method using a phase difference. Here, the light beam transmitted through the lens 200 is divided into two systems by a beam splitter, the optical axes of the divided light beams are shifted from each other, and are imaged on a focus detection sensor by two imaging lenses. A defocus amount def is calculated based on the phase difference between images. Then, the lens 200 is driven and focused according to the defocus amount.

  FIG. 12A shows the spectral characteristics of the focus detection circuit 109. When a focusing operation cannot be performed under low brightness, near-infrared (about 700 nm) light is emitted from the light-emitting diode on the camera side to the subject, so that the spectral characteristic of the image pickup device 102 for photographing shown in FIG. It has sensitivity up to the long wavelength region. FIG. 12B is a diagram showing a relative focus position displacement due to chromatic aberration of the lens 200 with respect to the wavelength of light.

  When the light source for illuminating the subject is an LED (spectral characteristic: FIG. 7A) having a small infrared light component, the vicinity of 500 nm in the visible light region is the center of the spectral distribution of the light source. It is a direction to shorten. On the other hand, when the light source that illuminates the subject is in sunlight (spectral characteristics: FIG. 7B) having many infrared light region components, the focal length of the lens increases. Therefore, even if there is a subject at the same position, there arises a problem that as a result, the image plane is out of focus.

  The photometric sensor 106 (spectral characteristics: FIG. 5A) can detect a plurality of spectral sensitivities. When the output of this sensor is substituted into (Equation 1), the output difference P becomes a positive value as the light source that illuminates the subject contains more short wavelength components. Further, as the light source that illuminates the subject includes more long wavelength components, the output difference P becomes a negative value.

  A defocus amount correction value (correction amount) is calculated using the output difference P. That is, if the defocus amount is def and the focus correction coefficient is k, the final defocus amount is calculated from (Equation 8).

Final defocus amount = k × P + def (Expression 8)
By this calculation, the displacement in the focus direction can be corrected.

  The defocus amount correction value may be obtained by making table data corresponding to the value of the output difference P and referring to this data. In addition, when calculating (Equation 1), it is possible to calculate using R ′, G ′, B ′ and IR that have been subjected to infrared light subtraction processing. drop down. Therefore, it is desirable to calculate using R, G, B, and IR. In this embodiment, the defocus amount correction process is performed to correct the displacement in the focus direction. However, the focus control is performed using a control value (focus control value) related to another focus, such as a lens drive amount, as a correction target. Value correction processing may be performed.

  With these processes, defocus amount correction, light source determination, characteristic color detection, photometric calculation processing, and the like can be performed satisfactorily. In the photometric calculation process and the face area detection process, if the R, G, B signal amount is small, such as in a night scene, the infrared light subtraction process causes the R, G, B signal amount to be too small. Therefore, the photometric calculation process and the face area detection process may not be performed accurately. Therefore, a configuration in which photometric calculation processing and face area detection processing are performed without performing infrared light subtraction processing may be employed.

  As mentioned above, although preferable embodiment of this invention was described, this invention is not limited to these embodiment, A various deformation | transformation and change are possible within the range of the summary.

(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, or the like) of the system or apparatus reads the program. It is a process to be executed.

DESCRIPTION OF SYMBOLS 100: Camera main body, 101: Camera microcomputer, 102: Image sensor, 106: Photometric sensor, 109: Focus detection circuit, 200: Lens, 300: Illuminating device (strobe)

Claims (14)

A photometric sensor having a plurality of pixels having sensitivity in the infrared light region and the visible light region;
The photometric sensor is divided into a plurality of pixel groups, and acquisition means for acquiring image information in the infrared light region and image information in the visible light region for each of the plurality of pixel groups;
Subtracting means for generating a visible light component obtained by subtracting an infrared light component based on image information in the infrared light region from image information for each of the plurality of pixel groups;
First processing means for performing a first process using the image information in the infrared light range and the image information in the visible light range acquired by the acquisition means;
Second processing means for performing second processing using the visible light component generated by the subtracting means;
An imaging apparatus comprising:   The imaging apparatus according to claim 1, wherein the acquisition unit calculates an average value of image information of the plurality of pixel groups.   The subtracting unit generates the visible light component by subtracting a value obtained by multiplying the image information in the infrared light region by a predetermined gain from the image information for each of the plurality of pixel groups. The imaging apparatus according to 1 or 2.   The imaging apparatus according to claim 1, wherein the first processing unit performs a focus control value correction process.   5. The imaging apparatus according to claim 1, wherein the second processing unit performs at least one of a light source determination process and a specific color detection process.   The focus control value correction process divides the light beam transmitted through the lens into two systems, and calculates a correction amount for the detected defocus amount based on a phase difference between two images formed by the divided light beams. The imaging apparatus according to claim 4. A method for controlling an imaging device including a photometric sensor having a plurality of pixels having sensitivity in an infrared light region and a visible light region,
The step of dividing the photometric sensor into a plurality of pixel groups, and acquiring the image information in the infrared light region and the image information in the visible light region for each of the plurality of pixel groups;
A subtracting step for generating a visible light component obtained by subtracting an infrared light component based on the image information in the infrared light region from the image information for each of the plurality of pixel groups;
A first processing step of performing a first processing using the image information in the infrared light region and the image information in the visible light region acquired by the acquisition step;
A second processing step of performing a second processing using the visible light component generated by the subtraction step;
A method for controlling an imaging apparatus, comprising: The method of controlling an imaging apparatus according to claim 7 , wherein in the obtaining step, an average value of image information of the plurality of pixel groups is calculated. The subtracting step generates the visible light component by subtracting a value obtained by multiplying the image information in the infrared light region by a predetermined gain from the image information for each of the plurality of pixel groups. The control method of the imaging device according to 7 or 8 . In the first process step, the control method of the imaging apparatus according to any one of claims 7 to 9, characterized in that the focus control value correction processing. Wherein in the second process step, the light source determination process, among specific color detection process, the control method of the imaging apparatus according to any one of claims 7 to 10, characterized in that at least one process. The focus control value correction process divides the light beam transmitted through the lens into two systems, and calculates a correction amount for the detected defocus amount based on a phase difference between two images formed by the divided light beams. The method of controlling an imaging apparatus according to claim 10 . The program for making a computer perform each process of the control method of any one of Claims 7 thru | or 12 . Readable storage medium a computer which stores a program for executing the respective steps in a computer controlled method according to any one of claims 7 to 12.

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