JP4506498B2 - Photo image processing method and photo image processing apparatus - Google Patents

Description

  In the present invention, for example, R (red), G (green), B (blue) (hereinafter referred to as “RGB”) can be reproduced for color image data obtained by reading a photographic film such as a negative film. In detail, a predetermined average value is obtained for each color component of the pixels constituting the original image data, and the average value corresponds to gray. The present invention relates to a photographic image processing method and a photographic processing apparatus for correcting color components of each pixel so as to have a predetermined value.

  2. Description of the Related Art Conventionally, as a photographic image processing method for printing an image recorded on a negative film on a photographic paper having a good color tone, a LATD (Large Area Transmission Density) exposure method based on Evans's theorem is known. This exposure method is based on Evans's theory that the average outdoor subject will become gray when the colors of the negatives are mixed together. The exposure is performed by adjusting each RGB exposure amount so that the light is reproduced in gray on the photographic paper. Specifically, the negative film is irradiated with light, and the transmitted light is read by the image sensor. Color image data is generated, an average value of the color image data is calculated and derived for each RGB of each pixel, and an analog photo printer adjusts so that each RGB average value becomes a predetermined value corresponding to gray. The photographic paper is exposed by adjusting the optical filter, and the exposure amount from each of the RGB light sources is adjusted in the digital photographic printer.

According to the above-described conventional photographic image processing method, there is a problem that an overcorrected photographic print is output due to the color deviation of the subject (person, background). For example, in the case of a scene where a person is photographed against a lawn, the lawn area is finished in gray, while magenta, which is a complementary color of the lawn, appears strongly in the person area. Such a situation is called color failure. As a countermeasure, high saturation pixels are removed in the LATD exposure method, or the color correction rate for the feature color occupying the largest area is made different from the color correction rate for the background color other than the feature color. A method of correcting the error has been proposed.
JP 2000-330221 A

  However, even with the above-described method of removing high-saturation pixels, there is a possibility that color feria may occur due to the influence of a relatively high-saturation image area in a low-saturation image, and this is not always perfect. There was room for further improvement.

  In view of the above-described conventional drawbacks, the present invention effectively eliminates the occurrence of color failure due to certain low-saturation pixels while reliably removing the influence of high-saturation pixels, and thus produces a more natural color image. The object is to provide a photographic image processing method and apparatus that can be obtained.

In order to achieve the above-mentioned object, the first characteristic configuration of the photographic image processing method according to the present invention is, as described in claim 1 of the claims, for each color component of the pixels constituting the original image data. A photographic image processing method that obtains a predetermined average value and corrects the color component of each pixel so that the average value becomes a predetermined value corresponding to gray, wherein saturation is applied to each pixel constituting the original image data. Saturation calculation step to be obtained, and each of the low saturation pixels with respect to the pixels on the lower saturation side than the saturation threshold set for each hue region in which the hue is divided into a plurality of regions in advance, the weight coefficient is increased. A weighting factor deriving step for obtaining a weighting factor correlated with the saturation of the pixel for each pixel, and a weight for each color component obtained by dividing the product sum of each color component for each pixel and the weighting factor by the sum of the weighting factors A weighted average value calculating step for calculating an average value, A pixel data correction step for obtaining a difference from a weighted average value for each of other color components as a correction value based on the weighted average value for each color component and correcting the color component of each pixel based on the correction value. It is in the point.

  According to the above-described configuration, the weighting factor is increased in the lower saturation pixel with respect to the pixel on the lower saturation side than the preset saturation threshold according to the saturation distribution of the pixels constituting the image data. Since the calculated weighted average value is used to correct the color component of each pixel, that is, to perform an extended LATD process (hereinafter referred to as “extended LATD process”), an appropriate setting of the weighting coefficient, that is, saturation is performed. By setting the threshold value, it is possible to reduce the influence of pixels with relatively high saturation in the low saturation area while eliminating the influence of high saturation pixels. Adjustments can be made.

Specifically, the weighting factor calculated according to the saturation of the pixel can be variably set according to the hue of the pixel, eliminating the influence of shooting conditions such as illumination light and subject type. Thus, it becomes possible to adjust to a more natural color balance. For example, a yellow color tone is a color tone often found in artifacts, and in order to correct such a yellow pixel to an original color, it is necessary to set a weighting factor larger than that of other hue pixels. In a photographed image with a background of light, it is necessary to set a weighting coefficient smaller than pixels of other hues in order to suppress the occurrence of color feria even in a portion where the light is not exposed and the saturation is low. Even in such a case, the weight coefficient can be set appropriately.

In the second feature configuration, as described in claim 2, in addition to the first feature configuration described above, the saturation threshold is set for each hue region based on the color deviation of the pixels constituting the original image. The point is that it is variably set .

In the third feature configuration, as described in the third aspect, in addition to the first or second feature configuration described above, the weighting factor is a power function k · (Sa) ^γ (k Is based on the constant), the weight coefficient is determined to be larger for the low saturation pixels.

  According to the above-described configuration, the weighting factor of the low saturation pixel can be set larger and the weighting factor of the high saturation pixel can be set smaller than when the weighting factor is obtained in proportion to the saturation of each pixel. By performing the extended LATD process by obtaining the weighted average value for each color component for all the pixels based on such weighting coefficients, it is possible to adjust the color balance that more effectively suppresses the occurrence of color failure. It is. In other words, even if the original image has a relatively low saturation and a certain low saturation pixel area that is significantly wider than other areas, the weighting factor of the pixels in such an area is Since it is set to a small value, color feria is less likely to occur.

The fourth feature configuration is that, in addition to the third feature configuration described above, the power number γ is set to a different value based on the attribute of the original image data. .

  Even when the same scene is shot, color reproduction characteristics differ between the one shot with an optical camera using a silver salt film and the one shot with a digital camera, and even a silver salt film is a negative film. Depending on whether the film is a reversal film, the color development characteristics differ. According to the configuration described above, even in such a case, an appropriate weighting factor can be set based on the attributes of the original image data, that is, the type of film, the type of photographing device, and the like. In other words, it is possible to perform appropriate extended LATD processing that does not generate color failure for images with various attributes.

In the fifth feature configuration, as described in claim 5 , in addition to any one of the first to fourth feature configurations described above, the pixel data correction step includes a lower saturation side than the saturation threshold value. The color component is corrected only for the pixels.

  According to the above-described configuration, it is possible to remove the high-saturation pixels having a large influence and to correct the weighted condition in consideration of the saturation even if the image includes a large colored region with low saturation. It is possible to effectively suppress the occurrence of color feria and obtain a more natural color image.

According to the first characteristic configuration of the photographic image processing apparatus of the present invention, as described in claim 6 of the claims, a predetermined average value is obtained for each color component of the pixels constituting the original image data. A photographic image processing apparatus that corrects the color component of each pixel so that an average value becomes a predetermined value corresponding to gray, a saturation calculation unit that calculates saturation for each pixel constituting the original image data, Correlates with the saturation of each pixel so that the weighting factor increases for lower saturation pixels than for the saturation threshold set for each hue region where the hue is separated into multiple regions. A weighting factor deriving unit for obtaining the weighting factor for each pixel, and a weighting average value calculation for obtaining a weighting average value for each color component obtained by dividing the product sum of each color component for each pixel and the weighting factor by the sum of the weighting factors And other color components based on the weighted average value for each color component It obtains the difference between the weighted average value as the correction value, there the color component of each pixel to a point comprising a pixel data correcting section that corrects, based on the correction value.

In the second feature configuration, as described in claim 7, in addition to the first feature configuration described above, the saturation threshold is set for each hue region based on the color deviation of the pixels constituting the original image. The point is that it is variably set .

In the third feature configuration, as described in claim 8, in addition to the first or second feature configuration described above, the weighting factor is a power function k · (Sa) ^γ (k Is based on the constant), the weight coefficient is determined to be larger for the low saturation pixels.

The fourth feature configuration is that, in addition to the third feature configuration described above, the power γ is set to a different value based on the attribute of the original image data. .

In the fifth feature configuration, as described in claim 10, in addition to any of the first to fourth feature configurations described above, the pixel data correction unit has a lower saturation side than the saturation threshold. The color component is corrected only for the pixels.

  As described above, according to the present invention, a color image closer to nature can be obtained by effectively eliminating the occurrence of color feria due to certain low saturation pixels while reliably removing the influence of high saturation pixels. It is now possible to provide a photographic image processing method and apparatus that can be obtained.

  Embodiments of a photographic image processing method and a photographic image processing apparatus according to the present invention will be described below. As shown in FIG. 1, a photographic image processing apparatus 1 includes a photographic printer 2 that performs an exposure process based on output image data on a photographic paper P and develops the exposed photographic paper, and a developed photographic film. A media driver 32 that reads image data from an image data storage medium M such as a memory card that stores image data taken by a film scanner 31 or a digital still camera that reads an image from F, or a general-purpose computer as a controller 33 The print station is configured to include input of print order information for a photographic image as an input original image and an operation station 3 for performing various image correction processes. The print is edited from the original image by the operation station 3. Data is output to the photographic printer 2 to produce a desired photographic print. It is made.

  As shown in FIGS. 1 and 2, the photographic printer 2 includes two systems of photographic paper magazines 21 containing roll-shaped photographic paper P, and photographic paper P drawn from the photographic paper magazine 21 with a predetermined print. A sheet cutter 22 that cuts into a size; a back print unit 23 that prints print information such as a frame number on the back of the cut photographic paper P; an exposure unit 24 that exposes the photographic paper P based on the print data; A development processing unit 25 including a plurality of processing tanks 25a, 25b, and 25c filled with processing solutions for developing, bleaching, and fixing the exposed photographic paper P is disposed along the transport path of the photographic paper P. The laterally-feeding conveyor 26 that discharges the photographic paper P that has been dried after the development process, and the sheet-paper (photo print) P that is stacked on the laterally-feeding conveyor 26 is sorted in order units. Configured to include the data 27.

  The exposure unit 24 receives the RGB three-color light flux modulated on the basis of the print data in the main scanning direction orthogonal to the conveyance direction with respect to the photographic paper P conveyed in the sub-scanning direction by the conveyance mechanism 28. An exposure head 24a for outputting and exposing is accommodated.

  A transport mechanism 28 including a plurality of roller pairs that transport the photographic printing paper P at a process speed corresponding to the exposure unit 24 and the development processing unit 25 disposed along the transport path is disposed before and after the exposure unit 24. Is provided with a chucker-type transport mechanism 28a capable of transporting photographic paper P in multiple rows.

  The controller 33 provided in the operation station 3 is installed with an application program that operates under the control of a general-purpose operating system and executes various controls of the photographic processing apparatus 1, and a monitor 34 as an operation interface with the operator. A keyboard 35, a mouse 36, and the like are connected.

  The photographic processing process executed by the cooperation of the hardware and software of the controller 33 will be described in functional blocks. As shown in FIG. 3, a photographic image as an original image read by the film scanner 31 or the media driver 32 is shown. The image input unit 40 that performs predetermined preprocessing and transfers it to the memory 41 (to be described later), and print order information and image editing information are displayed on the screen of the monitor 34, and necessary data input for these is displayed. A graphic user interface unit 42 for generating various control commands based on an input operation from the keyboard 35 or mouse 36 for the displayed graphic operation screen; Source transferred from the image input unit 40 Generates print order information and a memory 41 in which image data, corrected image data after correction processing by an image processing unit 47 described later, processing parameters at that time, and set print order information are partitioned and stored. From the order processing unit 43, the image processing unit 47 that performs various corrections such as gradation correction, color correction, enlargement / reduction processing, distortion correction on the original image stored in the memory 41, and the graphic user interface unit 42 A display control unit 46 including a video RAM for displaying the original image and the corrected image data developed in the memory 41 based on the display command, and various input / output graphic data on the monitor 34; Print data for outputting the final corrected image for which various correction processes have been completed to the photographic printer 2 is generated. A lint data generating unit 44, and the like formatter 45 which converts the final corrected image according to customer orders to a file format for writing in a storage medium such as a CD-R.

  The film scanner 31 is configured to operate in two modes: a pre-scan mode that reads an image recorded on the film F at a high speed although it has a low resolution, and a main scan mode that reads a high-resolution image at a low speed. Various correction processes described later are performed on the low-resolution image read in the can mode, and the high-resolution image read in the main scan mode based on the correction parameters stored in the memory 41 at that time. The final correction process is executed. Similarly, the image file read from the media driver 32 includes a high-resolution captured image and its thumbnail image, and various correction processes described later are performed on the thumbnail image. Based on the stored correction parameters, a final correction process is performed on the high-resolution captured image. When the image file does not include a thumbnail image, the image input unit 40 generates a thumbnail image from the high-resolution captured image and transfers it to the memory 41. In this way, the calculation load of the controller 33 is reduced by executing various editing processes that are frequently trial and error on low-resolution images.

  The image processing unit 47 is suitable for, for example, a distortion correction unit 50 that corrects distortion caused by a photographing lens with respect to an original image, a sharpening processing unit 51 that enhances an edge of an image and reduces noise, and a size of a photographic print. An enlargement / reduction processing unit 52 for converting to an image size, a color correction unit 53 for adjusting a color balance so that natural colors can be reproduced, and the like.

  The color correction unit 53 includes a saturation calculation unit 54 that obtains saturation for each pixel constituting the original image data, and a weighting factor derivation unit that obtains a weighting factor correlated with the obtained saturations for each pixel. 55, a weighted average value calculating unit 56 for obtaining a weighted average value for each color component obtained by dividing the product sum of each color component for each pixel and the weighting factor by the sum of the weighting factors, and the weighted average value calculating unit 56 A pixel data correction unit 57 that corrects the color component of each pixel based on the calculated weighted average value for each color component, that is, performs an extended LATD process, is provided.

  The saturation calculation unit 54 is configured to create a preview image reduced to a predetermined number of pixels from the frame image so as to adapt to the calculation described later, and calculate the saturation Sa (i) for each pixel. . Here, i indicates the number of the pixel, and i = 0, 1, 2,..., N−1 (n: the number of pixels). For example, in the case of a low-resolution image such as a thumbnail image or an image read in the pre-scan mode, the preview image may be used at the same magnification.

The weighting factor deriving unit 55 is configured to obtain a weighting factor Sb (i) correlated with each saturation Sa (i) obtained by the saturation calculating unit 54 for each pixel. The weighting factor Sb (i) changes linearly with respect to the saturation Sa (i) so that the correction strength Rc (i) becomes stronger as the saturation pixel becomes lower, for example, as shown in FIG. Or a correction intensity characteristic that changes in a power function k · (Sa) ^γ (k is a constant and is appropriately set by experiment) with respect to the saturation Sa (i). Is done. For example, the weight coefficient Sb (i) can be obtained by the calculation formula shown in (Expression 1).

Here, the saturation Sa (i) is expressed by the distance from the center, with hues arranged along the circumference as shown in FIG. In the color solid in the Munsell color system, it is obtained as the distance from the center when the RGB color component of each pixel is plotted on the cross section with the center of the brightness axis shown in FIG. Is a saturation threshold set for each hue. In other words, (Equation 1) indicates that the weighting coefficient Sb (i) is set to the power function k · (Sa (i)) ^γ (k is the pixel in which the saturation Sa (i) is equal to or less than the saturation threshold value Sath. The weighting coefficient Sb (i) is increased as the saturation Sa (i) is lower, and conversely, the weighting coefficient Sb (i) is increased as the saturation Sa (i) is higher. In other words, the weighting coefficient Sb (i) is set to 0 in a pixel in which the saturation Sa (i) is larger than the saturation threshold Sath. Here, when the weight coefficient Sb (i) is 0, it is removed from the target of weight average value calculation described later as a high saturation pixel.

  The power number γ is set based on the attribute of the image data. For example, according to the experimental results so far, in the image data acquired from the negative film, the power γ should be about 1.5, and in the image data acquired from the digital camera, the power γ Is preferably about 1.2.

  As shown in FIG. 4B, the saturation threshold value Sath is set for each region (hue) by dividing the region by hue in the Munsell color solid sectional view. In other words, the hue indicated by each pixel of the original image data is applied to the hue area in the Munsell color cube, and the weight coefficient Sb is calculated using the correction intensity Rc (i) calculated using the saturation threshold Sath in the hue area. With the configuration for calculating (i), the weighting coefficient Sb (i) is set according to the hue. The saturation threshold value Sath is a threshold value that takes a value in a predetermined range for removing the high saturation pixel from the correction target image, and is a value for preventing the occurrence of color failure due to the influence of the high saturation pixel.

  Further, when the display color of the original image has a color deviation, it is emphasized so that many pixels of a specific hue that cause the color deviation are included, so that the above-described extended LATD process is performed. It is possible to easily remove the color deviation. For example, many artifacts have a yellow color tone, and the captured image under tungsten light is generally yellowish. Therefore, in order to correct such a yellow pixel to the original color, other weighting factors are used. It is necessary to set a larger pixel than the pixel of the hue, and even if the photographed image with the plant background is not exposed to light and has a low saturation, the weight coefficient is set to a pixel of another hue to suppress the occurrence of color feria. Must be set smaller than In such a case, the saturation threshold value Sath can be adjusted to an appropriate weighting factor by setting it large in the yellow region and small in the green region.

  In the above (Equation 1), the constant function q is set based on the saturation threshold value Sath so that the power function is a power function based on the saturation threshold value Sath. However, the present invention is not limited to this. A function that should be appropriate can be set.

  In addition, the saturation threshold value Sath is set to a range such that the saturation threshold value Sath effectively acts on a low saturation pixel equal to or lower than the saturation threshold value of the predetermined range, whereby a high saturation pixel in which color failure may occur. Can also be effectively removed.

  The weighted average value calculation unit 56 calculates the product sum rx, gx, bx of each color component r (i), g (i), b (i) and the weighting coefficient Sb (i) for each pixel as the weighting coefficient Sb. Weight average values rxa, gxa, bxa for each color component divided by the sum nx of (i) are obtained, and are calculated by the calculation formulas shown in (Expression 2) and (Expression 3).

  The pixel data correction unit 57 performs an extended LATD process on the basis of the weighted average values rxa, gxa, bxa for each color component calculated by the weighted average value calculating unit 56. Similarly, the correction value Δrxa is obtained from the G component as a reference by calculating the B component correction value Δbxa (Equation 4), and Δrxa is applied to the R component of each pixel, and Δbxa is applied to the B component of each pixel. The correction is made. Note that the pixel data correction unit 57 may be configured not to perform correction on the pixels removed from the weighted average calculation.

  Hereinafter, the operation of deriving the weighted average values rxa, gxa, and bxa for each color component by the color correction unit 53 will be described based on the flowchart shown in FIG. When the saturation calculation unit 54 creates a preview image having a predetermined number of pixels, for example, 640 × 480 pixels from the image stored in the memory (S1), and stores the number of pixels n = 640 × 480 of the image (S2). Each block of the color correction unit 53 has a product sum rx, gx, bx of each data, for example, each color component r (i), g (i), b (i) and the weight coefficient Sb (i). A storage area such as the sum nx of the weighting factors Sb (i) is initialized (S3). Further, the color correction unit 53 resets the internal count value i for counting the pixels in order to calculate all the pixels of the image (S4).

  The saturation calculator 54 calculates the saturation Sa (i) from the color components r (i), g (i), and b (i) of the pixel corresponding to the count value i (S5).

  The weighting factor deriving unit 55 calculates a ratio between the saturation Sa (i) and the saturation threshold Sath (S6). If the ratio is 1.0 or less, the correction strength Rc (i) is set to, for example, the power A constant γ is calculated by a function that should be 1.5 (S7). If it is larger than 1.0, it is set to 1.0 (S8). Next, a weighting coefficient Sb (i) is calculated using the correction strength Rc (i) (S9).

  The weighted average calculation unit 56 integrates each color component r (i), g (i), b (i) of the pixel and the weight coefficient Sb (i), and each color component r (i), g of the other pixel. (I) By adding to the integrated value obtained by b (i) and the weighting coefficient Sb (i), the product-sum values bx, gx, rx are updated, and the weighting coefficient Sb (i) is changed to another value. Nx is updated by adding to the weight coefficient Sb (i) in the pixel (S10).

  The color correction unit 53 increments the internal counter value i (S11), and if the above calculation is completed for all the pixel numbers (S12), the weighted average calculation unit 56 performs the calculation according to (Equation 3). The weighted average values rxa, gxa, bxa are obtained (S13).

  In the above-described embodiment, the saturation threshold value Sath is set to a different value for each hue. However, the present invention is not limited to this, and may be set to a uniform value.

  In the above description, the weight average value of the image is calculated using one piece of image data, and the extended LATD process is performed based on the weight average value. However, the weight average calculated using a plurality of pieces of image data is described. The extended LATD processing may be performed based on the value.

  In the above description, pixel data correction is performed by obtaining a weighted average value for each color component obtained by dividing the product sum of the color component for each pixel and the weighting factor by the sum of the weighting factors, and based on the weighted average value for each color component. In the above description, the color component of each pixel is corrected. However, the present invention is not limited to this, and the color component of each pixel may be corrected based on the weighting factor.

  The result obtained by performing the extended LATD processing on the photographic image shown in FIG. 7A based on the weighted average value obtained by the arithmetic processing of (Equation 1), (Equation 2), and (Equation 3) described above. FIG. 7B shows the result of performing the extended LATD processing using the correction value obtained by the method of simply removing the high saturation pixels as shown in FIG. According to this, the effect of the present invention is shown in which the weighting coefficient is increased for lower saturation pixels in the region below the saturation threshold, and the correction strength is increased.

  As a result, in the conventional LATD processing, an image area having a relatively high saturation in a low saturation image, for example, a magenta color that is an umbrella color, is affected, so that other areas are complementary colors of magenta. A certain green color is displayed. For example, it is confirmed that the color feria has occurred because the human face has a color different from the skin color. On the other hand, in the method according to the present invention, the color of the umbrella is reproduced almost as much as the conventional method, but the face of the person is closer to the skin color, so the color feria is greatly improved. I can confirm that.

External view of photographic image processing device Internal explanatory diagram of photographic image processing device Functional block diagram of photographic image processing device It is explanatory drawing of the color cube of Munsell, (a) is a general view, (b) is sectional drawing for demonstrating the example of a hue area | region. Illustration of saturation-corrected intensity characteristics Flowchart for explaining the procedure for deriving the weighted average value for each color component It is explanatory drawing of the photographic image processing result by this invention, (a) is an original image, (b) is an image by the photographic image processing using this invention, (c) is an image by the photographic image processing using a prior art.

1: Photo image processing device 47: Image processing unit 53: Color correction unit 54: Saturation calculation unit 55: Weight coefficient derivation unit 56: Weight average value calculation unit 57: Pixel data correction unit

Claims (10)

A photographic image processing method for obtaining a predetermined average value for each color component of pixels constituting original image data and correcting the color component of each pixel so that the average value becomes a predetermined value corresponding to gray,
A saturation calculation step for obtaining saturation for each pixel constituting the original image data;
The saturation and correlation of each pixel are correlated so that the weighting factor increases for lower saturation pixels than the saturation threshold set for each hue region in which the hue is divided into a plurality of regions in advance. A weighting factor derivation step for obtaining the given weighting factor for each pixel;
A weighted mean value calculating step for obtaining a weighted mean value for each color component obtained by dividing the product sum of each color component for each pixel and the weighting factor by the sum of the weighting factors;
A pixel data correction step for obtaining a difference from the weighted average value for each of the other color components as a correction value based on the weighted average value for any color component, and correcting the color component of each pixel based on the correction value A photographic image processing method comprising: The saturation threshold is based on the color bias of the pixels constituting the original image, photographic image processing method according to claim 1, wherein it is intended to be variably set for each hue region. 3. The photograph according to claim 1, wherein the weighting factor is determined so that the weighting factor becomes larger as the pixel is lower in saturation, based on a power function k · (Sa) ^γ (k is a constant) with respect to the saturation Sa. Image processing method. The photographic image processing method according to claim 3, wherein the power number γ is set to a different value based on an attribute of the original image data. The pixel data correction step, photographic image processing method according to any one of claims 1 to 4 only for correcting the color components to pixels of the low chroma side than the saturation threshold. A photographic image processing apparatus that obtains a predetermined average value for each color component of pixels constituting original image data and corrects the color component of each pixel so that the average value becomes a predetermined value corresponding to gray,
A saturation calculation unit for obtaining saturation for each pixel constituting the original image data;
The saturation and correlation of each pixel are correlated so that the weighting factor increases for lower saturation pixels than the saturation threshold set for each hue region in which the hue is divided into a plurality of regions in advance. A weighting factor deriving unit that obtains a weighting factor for each pixel;
A weight average value calculation unit for obtaining a weight average value for each color component obtained by dividing the product sum of each color component for each pixel and the weight coefficient by the sum of the weight coefficients;
A pixel data correction unit that obtains a difference from a weighted average value for each of other color components as a correction value based on the weighted average value for any one of the color components, and corrects the color component of each pixel based on the correction value A photographic image processing apparatus comprising: The photographic image processing apparatus according to claim 6 , wherein the saturation threshold is variably set for each hue region based on a color deviation of pixels constituting the original image. The photograph according to claim 6 or 7 , wherein the weighting factor is determined so that the weighting factor becomes larger as the low saturation pixel is based on a power function k · (Sa) ^γ (k is a constant) with respect to the saturation Sa. Image processing device. The photographic image processing apparatus according to claim 8, wherein the power number γ is set to a different value based on an attribute of the original image data. The photographic image processing apparatus according to claim 6 , wherein the pixel data correction unit corrects a color component only for a pixel on a lower saturation side than the saturation threshold.