JP2018041203A - Image processor, image processing method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an image processor capable of obtaining an image with little coloring phenomenon by reducing brightness value in a high luminance region such as shininess generated on a pick-up image of a subject such as a person.SOLUTION: A shininess correction signal generation part (203) generates a correction signal for correcting a high luminance region on a subject such as a person based on an input image. A color suppression processing part (204) suppresses a color signal depending on the signal level of an input image. A shininess correct part (206) carries out a series of shininess correct processing on the image signal in which the color signal has been suppressed by the color suppression processing part (204) based on the correction signal generated by the shininess correction signal generation part (203).SELECTED DRAWING: Figure 2

Description

  The present invention relates to an image processing apparatus, an image processing method, and a program for processing an image signal.

  2. Description of the Related Art Conventionally, in an image pickup device, an image pickup device that picks up a subject image and outputs an image pickup signal saturates an output signal from the pixel when strong light of a certain level or more is incident on a pixel constituting the device. Of the image captured by the image sensor, a saturated pixel region is recognized as a so-called whiteout region. In particular, when a person is imaged, when the overexposure occurs due to light reflected on the surface of the skin, so-called “shine” occurs in a part of the skin, which often gives an unpleasant impression to the viewer. . Further, in an image sensor that outputs only specific color signals of R (red), G (green), and B (blue), as in a so-called Bayer array, all color signals are not saturated and specific color signals are output. Only the saturation may cause a coloring phenomenon in which the color balance is lost.

  For this reason, for example, Patent Document 1 discloses a technique for correcting a part of the skin. In the technique described in Patent Document 1, an image area (subject area) of a specific subject (person or the like) is detected from an image, and an area close to the main color component (skin color or the like) of the subject from the detected subject area, that is, Detect skin color area. If the luminance value is high with reference to the luminance value of the skin color area, the luminance value is corrected to be lowered. Patent Document 2 discloses a technique for reducing a coloring phenomenon by performing a color suppression process using a gain suppression characteristic in which the gain decreases when the luminance signal of an image exceeds a certain value.

JP-A-2005-327209 JP-A-8-331584

  However, in the case of the technique described in Patent Document 1, the coloring phenomenon is not taken into consideration, and in a region where only a specific color signal is saturated, even if correction is performed so as to lower the luminance, the influence of the coloring phenomenon occurs. . Further, the color suppression processing described in Patent Document 2 does not consider the case where correction is performed so that the luminance value is lowered when the luminance value is high, and therefore, there is a possibility that shine occurs.

  Therefore, an object of the present invention is to obtain an image in which the luminance value of a high luminance region such as shine caused when a subject such as a person is photographed is reduced and the coloring phenomenon is reduced.

  The present invention provides a generating unit that generates a correction signal for correcting a high luminance region of a predetermined subject from an input image, a suppression processing unit that suppresses a color signal in accordance with a signal level of the input image, and the suppression processing unit Correction means for performing correction based on the correction signal for the image signal in which the color signal is suppressed by the above.

  According to the present invention, when a subject such as a person is photographed, the luminance value of a high luminance region such as a shine can be reduced, and an image with a reduced coloring phenomenon can be obtained.

It is a block diagram which shows the schematic structural example of the digital camera of this embodiment. It is a block diagram which shows the schematic structural example of an image process part. It is a flowchart which shows the flow of a process in an image process part. It is a figure which shows an example of the characteristic of a luminance signal and a luminance gain. It is a figure which shows an example of the characteristic of a luminance signal and a color suppression gain.

  Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings. The image processing apparatus of the present embodiment can be applied to digital cameras, digital video cameras, various mobile terminals such as smartphones and tablet terminals having camera functions, industrial cameras, in-vehicle cameras, medical cameras, and the like. In the present embodiment, a digital camera will be described as an application example of the image processing apparatus. The digital camera according to the present embodiment has a function of correcting a high-luminance region that is generated when, for example, light emitted from a light source is reflected on the surface of a subject among captured images.

FIG. 1 is a block diagram illustrating a schematic configuration example of a digital camera 100 according to the present embodiment.
In FIG. 1, a lens group 101 includes a zoom lens and a focus lens. The shutter unit 102 has a diaphragm and a shutter. The imaging unit 103 includes a CCD, a CMOS element, or the like that converts an optical image formed on the imaging surface by the lens group 101 into an electrical signal (analog image signal). The imaging unit 103 also includes red (R), green (G), and blue (B) color filters corresponding to a so-called Bayer array. The A / D conversion unit 104 converts the analog image signal output from the imaging unit 103 into a digital image signal (hereinafter referred to as image data). The image processing unit 105 performs various types of image processing such as white balance processing, gamma (γ) processing, edge enhancement, and color correction processing on the image data output from the A / D conversion unit 104. A memory control unit 107 controls writing and reading of image data to and from the image memory 106. The D / A converter 108 converts the input image data into an analog image signal. The display unit 109 includes, for example, a liquid crystal display (LCD), and displays an image or the like on the LCD screen. The codec unit 110 compresses and encodes image data, and decompresses and decodes the compressed and encoded data. The I / F unit 111 is an interface unit with the recording medium 112. The recording medium 112 includes a memory card, a hard disk, and the like, and is detachable from the digital camera 100. The face detection unit 113 detects an image region (subject region) in which, for example, a face is captured as a predetermined subject from the captured image. The system control unit 114 controls the entire system of the digital camera 100. The operation unit 115 is a user interface unit for inputting various operation instructions from the user. The nonvolatile memory 116 is composed of an EEPROM or the like, and stores programs, parameters, and the like according to the present embodiment. The system memory 117 is a memory for developing constants and variables for operation of the system control unit 114, programs read from the nonvolatile memory 116, and the like.

Hereinafter, a basic processing flow at the time of subject imaging in the digital camera 100 of the present embodiment illustrated in FIG. 1 will be described.
The imaging unit 103 photoelectrically converts light incident through the lens group 101 and the shutter unit 102 and outputs the converted light to the A / D conversion unit 104 as an analog image signal. The A / D conversion unit 104 converts the analog image signal sent from the imaging unit 103 into digital image data and outputs the digital image data to the image processing unit 105 or the memory control unit 107.

  The image processing unit 105 is supplied with the image data supplied from the A / D conversion unit 104 or the image data supplied from the memory control unit 107 as image data of the input image. The image processing unit 105 performs color conversion processing such as white balance, gamma processing, contour enhancement processing, and the like on these input image data. In the case of the present embodiment, the image processing unit 105 also performs correction processing (shine correction processing) for a high-luminance area described later. The detailed description of the image processing unit 105 will be described later.

  Further, the image processing unit 105 uses a face detection result information by the face detection unit 113 (information indicating a face image area in the input image) and image data obtained by imaging to perform a predetermined evaluation value calculation process. I do. Information on the evaluation value calculation result is sent to the system control unit 114. Based on the evaluation value calculation result information, the system control unit 114 performs exposure control for adjusting exposure to a subject such as a face, distance measurement control for focusing, and the like. Specifically, the system control unit 114 performs a so-called TTL (through-the-lens) AF (autofocus) process, AE (automatic exposure) process, AWB (auto white balance) process, and the like. Various known techniques can be used for the evaluation value and its calculation process used when performing exposure control, distance measurement control, and the like, and the description and illustration thereof are omitted here.

  The image data output from the image processing unit 105 is written into the image memory 106 via the memory control unit 107. The image memory 106 captures image data captured by the imaging unit 103 and output from the A / D conversion unit 104, image data after image processing by the image processing unit 105, image data to be displayed on the display unit 109, and the like. Store.

  The D / A conversion unit 108 converts the image display data stored in the image memory 106 into an analog signal and supplies the analog signal to the display unit 109. The display unit 109 displays an image or the like corresponding to the analog signal from the D / A conversion unit 108 on a display device such as an LCD.

  The codec unit 110 compresses and encodes the image data recorded in the image memory 106 based on a standard such as so-called JPEG or MPEG. The system control unit 114 records the image data encoded by the codec unit 110 on the recording medium 112 via the I / F unit 111.

  The above is the basic operation when shooting an object in the digital camera 100 of the present embodiment. In addition to the basic operations described above, the system control unit 114 implements each process of the present embodiment, which will be described later, by executing a program stored in the nonvolatile memory 116 described above. The program here is a program for executing processing of each flowchart described later in the present embodiment. At this time, constants, variables for operation of the system control unit 114, programs read from the nonvolatile memory 116, and the like are expanded in the system memory 117.

Details of the image processing unit 105 will be described below with reference to FIG. FIG. 2 is a block diagram illustrating a schematic configuration of the image processing unit 105.
In FIG. 2, the image processing unit 105 includes a synchronization processing unit 200, a WB processing unit 201, a luminance / color difference signal conversion unit 202, a shine correction signal generation unit 203 (hereinafter referred to as a correction signal generation unit 203), and color suppression. A processing unit 204 is included. Furthermore, the image processing unit 105 also includes an edge enhancement processing unit 205, an RGB signal conversion unit 206, a shine correction unit 207, a gamma processing unit 208, and a luminance / color difference signal conversion unit 209.

The operation of each unit of the image processing unit 105 shown in FIG. 2 and the flow of processing in the image processing unit 105 will be described with reference to the flowchart of FIG.
In step S <b> 301 of FIG. 3, the image data input to the image processing unit 105 is input to the synchronization processing unit 200. In step S301, the synchronization processing unit 200 performs a synchronization process on the RGB input image data corresponding to the Bayer array. The R, G, and B color signals generated by the synchronization processing unit in the synchronization processing unit 200 (hereinafter referred to as R, G, and B signals) are sent to the WB processing unit 201. After step S301, the processing of the image processing unit 105 proceeds to step S302.

  In step S302, the WB processing unit 201 applies a gain to the R, G, and B signals sent from the synchronization processing unit 200 based on the white balance gain value calculated by the system control unit 114, and performs white balance. Perform the adjustment process. The R, G, and B signals whose white balance has been adjusted by the WB processing unit 201 are sent to the luminance / color difference signal conversion unit 202 and the correction signal generation unit 203, respectively. After step S302, the processing of the image processing unit 105 proceeds to step S303.

  In step S303, the luminance / color difference signal conversion unit 202 converts the R, G, and B signals after white balance adjustment into a luminance signal Y and color difference signals RY and BY. The luminance signal Y converted by the luminance / chrominance signal conversion unit 202 is sent to the correction signal generation unit 203, the color suppression processing unit 204, and the contour enhancement processing unit 205, respectively, and the color difference signals RY and BY are color suppression. It is sent to the processing unit 204. After step S303, the processing of the image processing unit 105 proceeds to step S304.

  In step S304, the correction signal generation unit 203 extracts from the supplied luminance signal Y a high-luminance area in the image area of the subject's face (hereinafter referred to as a face area). Then, the correction signal generation unit 203 performs processing for generating a shine correction signal used when correcting the high luminance region (shine correction signal generation processing). Specifically, the correction signal generation unit 203 compares the color signal ratio based on the characteristics of the face area from the R, G, and B signals of each pixel in the face area with respect to the face area detected by the face detection unit 113. And a shine correction signal is generated based on the color signal ratio.

  More specifically, the correction signal generation unit 203 first calculates a skin color complementary color signal from the R, G, and B signals of each pixel in the face area. For example, assuming that the average values of the R, G, and B signals in the face area are AveR, AveG, and AveB, and the R, G, and B signals have values in the range of 0 to 255, respectively, the skin color complementary color signals Rs, Gs and Bs can be obtained by Expression (1). The average values AveR, AveG, and AveB of the R, G, and B signals in the face area represent the color signal ratio based on the characteristics of the face area.

Rs = 255−AveR
Gs = 255−AveG Formula (1)
Bs = 255−AveB

  Further, the correction signal generation unit 203 refers to the luminance signal Y, and a luminance gain for extracting a high luminance region from the face region according to the signal level of the luminance signal Y (hereinafter referred to as luminance level). The signal Ky is obtained. Then, the correction signal generation unit 203 multiplies the skin color complementary color signals Rs, Gs, and Bs by the luminance gain signal Ky as shown in Expression (2), thereby calculating the shine correction signals Rh, Gh, and Bh.

Rh = Ky × Rs
Gh = Ky × Gs Formula (2)
Bh = Ky × Bs

  Here, FIG. 4 is a diagram illustrating an example of a conversion table when the correction signal generation unit 203 obtains the luminance gain signal Ky from the luminance signal Y. In FIG. 4, the horizontal axis represents the luminance signal Y, and the vertical axis represents the luminance gain signal Ky. By using the conversion table shown in FIG. 4, when the luminance signal Y is smaller than the predetermined threshold Th0 and it can be assumed that no shine has occurred, the correction signal generation unit 203 uses “0. A value of 0 "is obtained. In this case, the shine correction signals Rh, Gh, and Bh are “0”, respectively, and the shine correction process is not performed in the subsequent proof correction unit 207. On the other hand, when the luminance signal Y is larger than the predetermined threshold Th1 (Th1> Th0), the shine is generated and the subject is overexposed, the correction signal generation unit 203 sets “1.0” as the luminance gain signal Ky. Get. In this case, the shine correction signals Rh, Gh, and Bh are signals corresponding to the skin color complementary color signals Rs, Gs, and Bs, respectively, and the subsequent shine correction unit 207 corrects the skin color according to the skin color complementary color signals Rs, Gs, and Bs. Processing will be performed. Further, when the luminance signal Y is between the threshold values Th0 and Th1, and the luminance signal Y is a luminance level at which skin shine is conspicuous, the correction signal generation unit 203 sets “0” according to the luminance level. A value between .0 "and" 1.0 "is obtained as the luminance gain signal Ky. In this case, the shine correction signals Rh, Gh, and Bh are signals obtained by multiplying the skin color complementary color signals Rs, Gs, and Bs by the luminance gain signal Ky, and the subsequent shine correction unit 207 corrects the shine correction according to the multiplication signal. Processing will be performed.

  In this manner, the correction signal generation unit 203 generates the luminance gain signal Ky from the luminance signal Y, and multiplies the skin color complementary color signals Rs, Gs, and Bs by the luminance gain signal Ky, thereby correcting the shine correction signals Rh, Gh. , Bh are calculated. That is, the shine correction signals Rh, Gh, and Bh are signals calculated for a high luminance area that needs to be subjected to the shine correction process in the face area. In other words, the high brightness area that needs to be subjected to the shine correction process is an area extracted from the face area according to the brightness level. Therefore, it can be said that the shine correction signals Rh, Gh, Bh calculated using the luminance gain signal Ky corresponding to the luminance level are signals suitable for the shine correction processing in the high luminance region. That is, the correction signal generation unit 203 can generate the shine correction signals Rh, Gh, and Bh in which the area that needs to correct the shine and the area that does not need to be corrected are switched with a natural impression. The shine correction signals Rh, Gh, Bh generated by the correction signal generation unit 203 are sent to the shine correction unit 207. After step S304, the processing of the image processing unit 105 proceeds to step S305.

  In step S 305, the color suppression processing unit 204 performs color suppression processing on the color difference signals RY and BY converted by the luminance / color difference signal conversion unit 202. Specifically, the color suppression processing unit 204 calculates a color suppression gain based on the luminance signal Y converted by the luminance / chrominance signal conversion unit 202, and the calculated color suppression gain is input to the input color difference signal R−. By multiplying Y, BY, a color difference signal subjected to color suppression processing is generated. For example, when the color suppression gain is CSUP_GAIN, the color difference signals RY ′ and BY ′ subjected to the color suppression processing can be obtained as shown in Expression (3), respectively.

R−Y ′ = CSUP_GAIN × R−Y
BY ′ = CSUP_GAIN × BY Equation (3)

  Here, FIG. 5 is a diagram illustrating an example of a conversion table when the color suppression processing unit 204 obtains the color suppression gain CSUP_GAIN from the luminance signal Y. In FIG. 5, the horizontal axis indicates the luminance signal Y, and the vertical axis indicates the color suppression gain CSUP_GAIN. When the luminance signal Y is smaller than the predetermined threshold Th3 and it can be considered that a coloring phenomenon due to saturation of any of the R, G, and B signals does not occur, the color suppression processing unit 204 sets “1” as the color suppression gain CSUP_GAIN. .0 ". For this reason, the color suppression processing unit 204 does not perform color suppression processing. On the other hand, when the luminance signal Y is larger than the predetermined threshold Th4 (Th4> Th3) and the color suppression processing unit 204 can assume that any coloring phenomenon due to saturation of any of the R, G, and B signals has occurred. Obtains “0.0” as the color suppression gain CSUP_GAIN. In this case, the color suppression processing unit 204 performs color suppression processing, and the occurrence of a coloring phenomenon is suppressed. In addition, the color suppression processing unit 204, if the luminance signal Y is between the threshold values Th3 and Th4 and there is a possibility that a coloring phenomenon may occur, “1.0” to “” depending on the intensity of the luminance signal Y. A value between 0.0 "is a color suppression gain CSUP_GAIN. In this case, the color suppression processing unit 204 performs color suppression processing for multiplying the color difference signals RY and BY by the color suppression gain CSUP_GAIN. However, since the color suppression gain CSUP_GAIN at this time is a value between “1.0” and “0.0” corresponding to the intensity of the luminance signal Y, it is suppressed to an inconspicuous even if a coloring phenomenon occurs. Will be. As described above, the color suppression processing unit 204 can reduce the coloring phenomenon by generating the color suppression gain CSUP_GAIN with reference to the luminance signal Y and performing the color suppression processing.

  At this time, the color suppression processing unit 204 may determine a threshold value for calculating the color suppression gain CSUP_GAIN with reference to the threshold values Th0 and Th1 when the correction signal generation unit 203 extracts the high luminance region. . For example, the color suppression processing unit 204 sets the threshold value Th4 when obtaining the color suppression gain CSUP_GAIN to be smaller than the threshold value Th1 when extracting the high-luminance region, so that the influence of the coloring phenomenon in the high-luminance region where the shine correction is performed. Can be ignored.

  Further, for example, when the color suppression processing unit 204 obtains the color suppression gain CSUP_GAIN depending on whether or not the subject region is a face region detected by the face detection unit 113, that is, whether or not the subject region is a region to be subjected to the shine correction. The threshold Th3 and the threshold Th4 may be adjusted. For example, when the subject area is not a face area detected by the face detection unit 113 (when it is an area that is not a target for shine correction), the threshold value Th3 and threshold value Th4 for obtaining the color suppression gain CSUP_GAIN are set to higher values, for example Adjust to. In this case, when the luminance signal Y has a lower value, the color suppression gain CSUP_GAIN is set to “1.0”, and the color suppression processing by the color suppression processing unit 204 is not performed. As a result, it is possible to prevent the saturation from being lowered more than necessary due to the color suppression processing being performed on the area that is not subject to the shine correction. As described above, the color suppression processing unit 204 adjusts the color suppression processing characteristics by changing the threshold value of the color suppression processing according to whether or not the region is to be the target of the shine correction, so that the region that is not the target of the shine correction It is possible to prevent excessive color suppression processing from being performed.

  Similarly, the color suppression processing unit 204 refers to the average values AveR, AveG, and AveB of the R, G, and B signals in the face area calculated by the correction signal generation unit 203 to determine whether the color is close to the skin color. The thresholds Th3 and Th4 for calculating the color suppression gain CSUP_GAIN may be adjusted. For example, for a region that is not a skin color even within the face region detected by the face detection unit 113, the threshold value Th3 and the threshold value Th4 when obtaining the color suppression gain CSUP_GAIN are adjusted to higher values, for example. As a result, it is possible to prevent the saturation from being reduced more than necessary due to the color suppression processing being performed on the non-skin color area even within the face area. As described above, the color suppression processing unit 204 changes the characteristics of the color suppression processing according to the average values AveR, AveG, and AveB of the R, G, and B signals in the face area, that is, the color signal ratio used when the shine correction signal is generated. By adjusting, it is possible to prevent the color suppression process from being performed on the non-skin color area.

  The color difference signals RY ′ and BY ′ subjected to the color suppression processing by the color suppression processing unit 204 as described above are sent to the RGB signal conversion unit 206. After step S305, the processing of the image processing unit 105 proceeds to step S306.

  In step S <b> 306, the edge enhancement processing unit 205 performs edge enhancement processing on the luminance signal Y, and the edge-enhanced luminance signal Y ′ is sent to the RGB signal conversion unit 206. After step S306, the processing of the image processing unit 105 proceeds to step S307.

  In step S307, the RGB signal conversion unit 206 applies the luminance signal Y ′ supplied from the contour enhancement processing unit 205 and the color difference signals RY ′ and BY ′ supplied from the color suppression processing unit 204. Perform RGB signal conversion processing. The R ′, G ′, B ′ signals obtained by this RGB signal conversion processing are sent to the shine correction unit 207. After step S307, the processing of the image processing unit 105 proceeds to step S308.

  In step S308, the shine correction unit 207 converts the R ′, G ′, and B ′ signals supplied from the RGB signal conversion unit 206 to the shine correction signals Rh, Gh, and Bh generated by the correction signal generation unit 203. Based on the shine correction process. Specifically, if the shine correction coefficient for adjusting the degree of shine correction is α, the shine correction unit 207 generates the Rt, Gt, and Bt signals after the shine correction process by performing the calculation of equation (4). To do. The shine correction coefficient α is a value that takes a range of “0.0” to “1.0”. The shine correction coefficient α may be appropriately set according to an instruction from the user via the operation unit 115.

Rt = R′−α × Rh
Gt = G′−α × Gh (4)
Bt = B′−α × Bh

  In this way, the shine correction unit 207 reduces shine by subtracting the shine correction signals Rh, Gh, Bh and R ′, G ′, B ′ signals calculated based on the complementary color of the skin in the high luminance region. R, G and B signals can be generated. The Rt, Gt, and Bt signals generated by the shine correction processing performed by the shine correction unit 207 are sent to the gamma processing unit 208. After step S308, the processing of the image processing unit 105 proceeds to step S309.

  In step S309, the gamma processing unit 208 performs gamma processing on the Rt, Gt, and Bt signals supplied from the shine correction unit 207. The Rg, Gg, and Bg signals after the gamma processing by the gamma processing unit 208 are sent to the luminance / color difference signal conversion unit 209. After step S309, the processing of the image processing unit 105 proceeds to step S310.

  In step S310, the luminance / color difference signal conversion unit 209 converts the Rg, Gg, and Bg signals supplied from the gamma processing unit 208 into a luminance signal Y and color difference signals RY and BY. The luminance signal Y and the color difference signals RY and BY converted by the luminance / color difference signal conversion unit 209 are sent to the codec unit 110. The codec unit 110 compresses and encodes the luminance signal Y and the color difference signals RY and BY. The compressed and encoded data is recorded on the recording medium 112 via the I / F unit 111. After step S310, the image processing unit 105 ends the process of the flowchart of FIG.

  As described above, according to the digital camera 100 of the present embodiment, the shine correction signal used for the shine correction for the high luminance area of the predetermined subject area is generated. The digital camera 100 according to the present embodiment performs a shine correction process based on the shine correction signal on the image signal after the color suppression process in which the characteristic for suppressing the color signal is adjusted according to the luminance level of the input image. ing. As a result, in the digital camera 100 of the present embodiment, the brightness value of the high-brightness area such as the shine can be reduced when a subject such as a person is photographed, and an image with a reduced coloring phenomenon is obtained. It is possible.

<Other embodiments>
The present invention supplies a program that realizes one or more functions of the above-described embodiments to a system or apparatus via a network or a recording medium, and one or more processors in the computer of the system or apparatus read and execute the program This process can be realized. In the present invention, each function of the above-described embodiment can be realized by cooperation of a circuit (for example, ASIC) and a program.

  The above-described embodiments are merely examples of implementation in carrying out the present invention, and the technical scope of the present invention should not be construed as being limited thereto. That is, the present invention can be implemented in various forms without departing from the technical idea or the main features thereof.

  100 digital camera, 103 imaging unit, 105 image processing unit, 106 image memory, 110 codec unit, 113 face detection unit, 114 system control unit, 115 operation unit, 116 nonvolatile memory, 117 system memory, 112 recording medium, 200 simultaneously Processing unit, 201 WB processing unit, 202 luminance color difference signal conversion unit, 203 shine correction signal generation unit, 204 color suppression processing unit, 205 contour enhancement processing unit, 206 RGB signal conversion unit, 207 shine correction unit, 208 gamma processing unit 209 Luminance color difference signal converter

Claims (9)

Generating means for generating a correction signal for correcting a high luminance area of a predetermined subject from an input image;
Suppression processing means for suppressing color signals according to the signal level of the input image;
Correction means for performing correction based on the correction signal for the image signal in which the color signal is suppressed by the suppression processing means;
An image processing apparatus comprising:   The image processing apparatus according to claim 1, wherein the generation unit generates the correction signal based on a color signal ratio corresponding to characteristics of the predetermined subject. The generation means generates the correction signal for the high luminance area based on the luminance level of the image area of the predetermined subject,
The image processing apparatus according to claim 1, wherein the suppression processing unit adjusts a characteristic of suppressing the color signal in accordance with the luminance level when the correction signal is generated.   The image processing apparatus according to claim 1, wherein the suppression processing unit adjusts a characteristic for suppressing a color signal depending on whether or not the image area is the predetermined subject.   The image processing apparatus according to claim 2, wherein the suppression processing unit adjusts a characteristic for suppressing the color signal in accordance with the color signal ratio.   The generating means generates a complementary color signal corresponding to the characteristic of the predetermined subject from an average value of each color signal of red, green, and blue representing the color signal ratio corresponding to the characteristic of the predetermined subject, and the complementary color 6. The correction signal according to claim 2, wherein the correction signal is generated by multiplying a signal by a luminance gain corresponding to a luminance level of an image area of the predetermined subject. Image processing device.   The correction unit subtracts each color signal obtained by multiplying the correction signal by a predetermined correction coefficient from each color signal of red, green, and blue of the image signal that has been subjected to the suppression by the suppression processing unit. The image processing apparatus according to claim 6, wherein the correction is performed. Generating a correction signal for correcting a high-intensity region of a predetermined subject from an input image;
A suppression processing step of suppressing color signals according to the signal level of the input image;
A correction step of performing correction based on the correction signal for the image signal in which the color signal is suppressed by the suppression processing step;
An image processing method for an image processing apparatus, comprising:   The program for functioning a computer as each means of the image processing apparatus of any one of Claims 1 thru | or 7.

Images