JP2006309613A - Image adjustment method and device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To easily perform image adjustment by designating the arbitrary region of a color image frame to be two-dimensionally displayed on a display unit prepared by using CG data. <P>SOLUTION: A color image frame 18 in which color information Dn is written in each pixel position n is prepared from CG data, and a mask image frame 20 in which an identification value Sn for prescribing each region 19a to 19e to which each pixel position n is belonging is written at each pixel position is prepared. By referring to each pixel position configuring the color image frame and an identification value Sn of each corresponding pixel position n in the mask image frame, each pixel position n included in the designated region at each pixel position configuring the color image frame is detected, and color information Dn of the detected pixel position n is adjusted by using the designated image adjustment information. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an image processing technique for creating a two-dimensional color image frame from two-dimensional CG data or three-dimensional CG data created using a computer graphics (CG) device and displaying the frame on a display. In particular, the present invention relates to an image adjustment method and an image adjustment apparatus for adjusting an image (color information) of a color image frame that has been created.

  The “color” in this specification includes not only color but also monochrome and multispectral.

  In two-dimensional CG data or three-dimensional CG data created using a CG (computer design) device, the shape of a design object such as an object or a natural object is generally a coordinate (x, y) in a two-dimensional space. Or a plurality of functions or a plurality of mathematical expressions using coordinates (x, y, z) in a three-dimensional space. The color of the design object is, for example, each component of R (red), G (green), and B (blue) at each coordinate (x, y), (x, y, z) on the surface of the design object. It is described as a value (0-255).

  Therefore, in order to display a design object such as an object or a natural object indicated by the two-dimensional CG data or the three-dimensional CG data on a display device in a form that can be viewed by a human, the two-dimensional CG data or the three-dimensional CG data Need to create a color image frame. The two-dimensional color image frame includes R (red), G (green), and B (blue) components indicating the contour or color of the design object at each position (pixel position) of the two-dimensional coordinates (x, y). A value is placed. When this two-dimensional color image frame is input to the display, the shape to be designed is displayed in a full color state.

  An image processing technique for creating and displaying a two-dimensional image in an arbitrary visual field range in an arbitrary direction from an arbitrary position (viewpoint) from two-dimensional CG data or three-dimensional CG data has already been reported in Patent Document 1 as a rendering processing technique. Yes. When the 3D CG data is a moving image, the generated 2D image is also a moving image including a plurality of time-series color image frames.

  In this way, it is often necessary to perform image adjustment for adjusting the image quality such as color, brightness, and brightness of the two-dimensional image displayed on the display device. In this case, when the same image adjustment is performed on the entire two-dimensional image displayed on the display device, the color, brightness, and brightness adjustment functions provided on the display device may be used.

  However, instead of adjusting the entire two-dimensional image displayed on the display device in the same manner, it may be required to perform a different adjustment operation only on a specific region in the two-dimensional image or on each region. In this case, in order to perform the adjustment efficiently, it is necessary to automatically specify the area for image adjustment instead of manual specification.

  When the two-dimensional image is a live-action image, examples of the region designation method include a method for targeting pixels included in a specific color gamut range, a method for extracting a contour from a luminance change, and the like. However, in an actual image, it is often difficult to determine a region based on pixel values, such as when an irrelevant region or an adjacent region accidentally has the same pixel value (RGB component values). A method for designating a region from a two-dimensional image of a real image is reported in Patent Document 2.

When a two-dimensional image is created using the above-described CG data, the two-dimensional image displayed as a result is changed by changing only attributes such as color and texture of a specific target in the original CG data. An area in the image is designated, and an accurate image adjustment operation can be performed on the intended object.
Japanese Patent Laid-Open No. 2002-8058 JP-A-8-160594

  However, the method of changing only attributes such as the color and texture of a specific target in the original CG data is to perform a rendering process from the changed CG data and create a two-dimensional image again. means.

  Therefore, for example, when performing real-time rendering processing that creates a plurality of time-series color image frames in real time from 3D CG data of a moving image, if an attempt is made to accurately reproduce details of the object, The amount of data and texture images increases, resulting in a reduction in processing speed, so that the definition of results is limited.

  The present invention has been made in view of such circumstances. An arbitrary region in a color image frame to be displayed in a two-dimensional display on a display device, which is created using CG data, is specified, and an image in this region is displayed. An object of the present invention is to provide an image adjustment method and an image adjustment apparatus capable of performing image adjustment in real time in the case of a moving image, for example, in the case of a moving image, easily and at high speed without executing rendering processing.

  In order to solve the above-described problems, the image adjustment method of the present invention includes a color image frame creation step for creating a color image frame in which color information is written at each pixel position from CG data, and a CG data at each pixel position. A mask image frame creation process for creating a mask image frame in which an identification value for specifying each region to which the corresponding pixel position belongs is written, and common color information for each pixel position included in the corresponding region by specifying the region. A color image frame is referred to by referring to an area image adjustment designation step for designating image adjustment information for adjustment to each pixel position, and each pixel position constituting the color image frame and each pixel position corresponding to the mask image frame. A pixel position detecting step for detecting each pixel position included in the region specified in the region image adjustment specifying step at each pixel position to be configured, and a pixel detected in this pixel position detecting step Color information of location and an image adjusting step of adjusting by using the image adjustment information specified by the area image adjustment designation step.

  In the image adjustment method configured as described above, a color image frame in which color information is written at each pixel position from CG data is created by executing, for example, a rendering process. Furthermore, since each region of the two-dimensional design object developed at the two-dimensional pixel position can be easily derived from the CG data, as a result, each region to which the pixel position belongs to each pixel position is specified from the CG data. A mask image frame in which the identification value is written is created.

  Since the pixel position of the color image frame and the pixel position of the mask image frame correspond one-to-one, each area of the color image frame is accurately specified by the mask image frame. Accordingly, it is possible to adjust the color information of each pixel position included in the externally designated area of the color image frame using the image adjustment information designated in the area image adjustment designation process. Since this image adjustment is performed for each pixel of a color image frame that has already been created, since the rendering process is not performed in order to perform the image adjustment, the processing speed of the image adjustment increases. .

  The image adjustment apparatus according to another aspect of the invention includes color image frame creation means for creating a color image frame in which color information is written at each pixel position from the CG data, and the corresponding pixel position belongs to each pixel position from the CG data. A mask image frame creating means for creating a mask image frame in which an identification value for identifying each area to be written is written, and for specifying the area and adjusting each color information of each pixel position included in the corresponding area in common Each pixel position constituting the color image frame with reference to the region image adjustment designation means for designating image adjustment information, and the identification value of each pixel position constituting the color image frame and the corresponding pixel position of the mask image frame Pixel position detection means for detecting each pixel position included in the area designated by the area image adjustment designation means, and color information of the pixel position detected by the pixel position detection means And an image adjusting means for adjusting by using the image adjustment information specified by the image adjusting designating means.

  In the image adjustment apparatus configured as described above, it is possible to achieve substantially the same operational effects as the image adjustment method described above.

  In another aspect of the invention, the mask image frame creation means in the image adjustment apparatus of the invention described above determines each region using the coordinate data in the CG data.

  Another image adjustment apparatus according to the present invention includes three-dimensional CG data of a moving image and dynamic camera work data for shooting a moving image of a camera virtually arranged in the three-dimensional space of the three-dimensional CG data. A color image frame creating means for creating a plurality of time-series color image frames in which color information is written at each pixel position, as viewed from the camera, and three-dimensional CG data of the moving image and camera work data. The mask image frame creating means for creating a plurality of time-series mask image frames in which identification values for specifying each region to which the corresponding pixel position belongs are written in each pixel position, and specifying the region , Area image adjustment designation means for designating image adjustment information for commonly adjusting each color information of each pixel position included in the corresponding area, and each pixel position and mask image frame constituting the color image frame A pixel position detecting means for detecting each pixel position included in the area designated by the area image adjustment designating means at each pixel position constituting the color image frame with reference to the corresponding identification value of each pixel position; Image adjustment means for adjusting the color information of the pixel position detected by the pixel position detection means using the image adjustment information designated by the area image adjustment designation means.

  In the image adjustment apparatus configured as described above, three-dimensional CG data of a moving image is adopted as CG data. Furthermore, dynamic camera work data for capturing a moving image of a camera virtually arranged in the three-dimensional space of the three-dimensional CG data is employed. Then, using a rendering technique in computer graphics technology, a plurality of time-series color image frames in which color information is written at each pixel position as viewed from the camera are created.

  Further, each region of the moving image to which the corresponding pixel position belongs to each pixel position as viewed from the camera is identified from the moving image three-dimensional CG data and camera work data by the same method as the image adjustment method of the invention described above. A plurality of time-series mask image frames in which identification values to be written are written.

  Therefore, as in the previous inventions, it is possible to adjust the color information of each pixel position included in the externally designated area of the color image frame using the image adjustment information designated in the area image adjustment designation step. Become.

  Therefore, even if the computer graphics image is displayed on the display device using the computer graphics technology based on the camera work, the 3D CG data of the moving image is specified in the moving image displayed on the display device. You can easily adjust the image of the selected area.

  In the image adjustment method and the image adjustment apparatus of the present invention, a mask image frame including each area information is created in addition to the color image frame from the CG data, and the area designation of the color image frame to be displayed and output is performed. .

  Therefore, an arbitrary area in the object displayed in the color image frame to be displayed two-dimensionally on the display device is specified, and the image in this area can be easily and quickly performed with high accuracy without performing rendering processing. For example, in the case of a moving image, the image can be adjusted in real time.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

  FIG. 1 is a schematic diagram showing a schematic configuration of an image adjustment apparatus to which an image adjustment method according to an embodiment of the present invention is applied.

  The image adjustment apparatus of this embodiment broadly creates a color image frame and a mask image frame based on the 3D CG data of the moving image from the 3D moving image design apparatus 1 and the camera work data from the camera work setting unit 3. A two-dimensional image creation unit 2, a moving image file 5, and an image adjustment unit 8 that adjusts color information of each area of the color image frame.

  Next, the detailed configuration and operation of each unit will be described in order.

  The three-dimensional moving image design apparatus 1 creates three-dimensional CG data of a moving image and sends it to the two-dimensional image creation unit 2. As shown in FIG. 2, the camera work setting unit 3 is based on the operation of the operator via the operation unit 4, and the three-dimensional space indicated by the (x, y, z) coordinates of the generated three-dimensional CG data. Dynamic camera work data for photographing the object 11 of the camera 10 virtually arranged therein is created and sent to the two-dimensional image creation unit 2.

  The dynamic camera work data includes, for example, the position (X, Y, Z), the yaw angle Y, and the pitch indicated by the (x, y, z) coordinates of the camera 10 at each time T every 1/30 second interval The viewing angle W corresponds to the camera orientation (Y, P, R) indicated by the angle P and the roll angle R, and the zoom amount of the camera.

Camera work data = [T, (X, Y, Z), (Y, P, R), W]
FIG. 3 is a block diagram showing a detailed configuration of the two-dimensional image creation unit 2 and the moving image file 5 configured by a computer, for example. The 3D CG data of the moving image created by the 3D moving image design apparatus 1 is once written in the 3D CG data file 12 and then input to the color image frame creating unit 14 and the region extracting unit 15. The camera work data created by the camera work setting unit 3 is once written in the camera work data file 13 and then input to the color image frame creation unit 14 and the region extraction unit 15.

  The color image frame creation unit 14 looks at the object 11 from the camera 10 based on the three-dimensional CG data and the camera work data. A plurality of color image frames 18 are created and written into the color image sequence file 6 of the moving image file 5. Specifically, the color image frame 18 in the three-dimensional CG data determined by the camera 10 position (X, Y, Z), orientation (Y, P, R), and viewing angle W at each time T is already known. Calculation is performed using a rendering operation of graphics technology.

  As shown in FIGS. 4A, 4B, and 4C, the color image frame 18 includes 24-bit (RGB, 8 bits) pixels as color information at each pixel position n from No. 1 to N. A full-color two-dimensional color image frame 18 having a value Dn is obtained. Then, when 30 color image frames 18 at 1/30 second intervals are created in time series, a color image sequence for one second is obtained.

  The area extraction unit 15 uses the camera work data to represent each of the three-dimensional areas of the object 11 indicated by the three-dimensional coordinate data included in the three-dimensional CG data, as shown in FIG. The area image frame 19 is created and sent to the mask image frame creation unit 17.

  In the area definition memory 16, as shown in FIG. 5, the area names and identification values Sn of the areas 19a to 19e of the two-dimensional area image frame 19 specified by the operator via the operation unit 16a are stored. Has been. For example, the identification value Sn = “1” is specified in the flat area 19a, the identification value Sn = “2” is specified in the mountain 19b, and the identification value Sn = “3” is specified in the mountain B area 19c. The identification value Sn = “4” is designated in the empty area 19d, and the identification value Sn = “5” is designated in the solar area 19e.

  The mask image frame creation unit 17 has written the identification values “1” to “5” corresponding to the pixel positions n included in the regions 19 a to 19 e in the two-dimensional region image frame 19 (FIG. 6B). Is written into the mask image sequence file 7 of the moving image file 5. Therefore, for example, a 4-bit identification value Sn is written at each pixel position n in the mask image frame 20 from No. 1 to No. N, as shown in FIG. Then, when 30 mask image frames 20 having an interval of 1/30 seconds are created in time series, a mask image sequence for one second is obtained.

  Each pixel position n in the color image frame 18 from 1 to N corresponds to each pixel position n in the mask image frame 20 from 1 to N in a one-to-one correspondence.

  Accordingly, the color image sequence file 6 of the moving image file 5 finally stores M color image frames 18 as shown in FIG. 7A, and the mask image sequence file 7 of the moving image file 5 stores Finally, as shown in FIG. 7B, M mask image frames 20 are stored.

  FIG. 8 is a detailed block diagram of the image adjustment unit 8 configured by, for example, a computer. The color image frame reading unit 21 sequentially reads out each color image frame 18 from the color image sequence file 6 and writes it into the color image frame memory 22. Similarly, the mask image frame reading unit 23 sequentially reads each mask image frame 20 from the mask image sequence file 7 and writes it to the mask image frame memory 24 in synchronization with the reading operation of the color image frame reading unit 21.

In the area image adjustment designation memory 26, an identification value S _A of one or a plurality of areas among the areas 19a to 19e to be adjusted by the operator via the operation unit 27 is stored. Further, the area image adjustment designation memory 26 stores adjustment information of the pixel value Dn as color information composed of RGB component values at the respective pixel positions n included in the designated areas 19a to 19e.

As adjustment information for the pixel value Dn,
(A) Color conversion: correction of color tone according to the characteristics and preferences of the display device, color change simulation, etc. For example, when enhancing the redness of an image, the red component of the pixel value Dn at each pixel position n in the corresponding region An operation such as multiplication or addition of the value by a coefficient is performed.

(B) Image adjustment: brightness and contrast correction according to display characteristics and preferences, etc. (c) Filter processing: blurring, sharpening, contour extraction, special effects (relief effect, watercolor effect, etc.).

The adjustment pixel detection unit 25 refers to each pixel position n constituting the color image frame 18 of the color image frame memory 22 and the identification value Sn of each corresponding pixel position n of the mask image frame 20 of the mask image frame memory 24. Thus, each pixel position n included in the areas 19a to 19e (identification value S _A ) designated in the area image adjustment designation memory 26 at each pixel position n constituting the color image frame 18 is detected, and a pixel value adjustment unit is detected. 28.

  The pixel value adjustment unit 28 adjusts the pixel value Dn at the input pixel position n in the color image frame 18 using the adjustment information in the area image adjustment designation memory 26, and the corresponding pixel position in the adjusted color image frame memory 29. Write to n. Of the pixel values Dn at each pixel position n constituting the color image frame 18, the pixel value Dn at each pixel position n in each area other than the designated area is directly applied to the corresponding pixel position n in the adjusted color image frame memory 29. Write.

  One adjusted color image frame 18 in the adjusted color image frame memory 29 in which the pixel value Dn is written at each pixel position n from No. 1 to N is displayed on the display unit 9 and adjusted. The color image sequence file 30 is written.

  FIG. 9 is a flowchart showing the overall operation of the image adjustment unit 8. First, the frame number m of the color image frame 18 and the mask image frame 20 stored in the color image sequence file 6 and the mask image sequence file 7 of the image file 5, and the pixel position n of each color image frame 18 and each mask image frame 20 Are initialized (m = 1, n = 1) (step S1).

  The mth color image frame 18 and the mth mask image frame 20 are read out (step S2). The pixel value Dn of 24 bits (RGB, 8 bits each) at the pixel position n of the read color image frame 18 is read (step S3). Similarly, a 4-bit identification value Sn at the same pixel position n of the read mask image frame 20 is read (step S4).

It is determined whether the 4-bit identification value Sn at the same pixel position n of the read mask image frame 20 is the identification value S _A of the designated area, and the identification value Sn is the identification value S _A of the designated area. In this case (step S5), the pixel value Dn at the pixel position n of the color image frame 18 is adjusted using the adjustment information in the area image adjustment designation memory 26 (step S6). Writing is performed at the pixel position n (step S7).

If the identification value Sn is not the identification value S _A of the designated area (step S5), the pixel value Dn at the pixel position n in the color image frame 18 is directly used as the corresponding pixel position n in the adjusted color image frame memory 29. Write (step S7).

  When the processing for one pixel position n in each of the image frames 18 and 20 is completed, it is confirmed that the pixel position n has not reached the final pixel position N (step S8), and the pixel position n is updated (n = n + 1). After (step S9), the process returns to step S3.

  When the pixel position n reaches the final pixel position N (step S8), one adjusted color image frame 18 written in the adjusted color image frame memory 29 is displayed on the display unit 9 (step S10). ).

  When the display output of one adjusted color image frame 18 to the display 9 is completed, it is confirmed that the frame number m of each image frame 18 and 20 has not reached the final frame number M (step S11). After the number m is updated (m = m + 1) (step S12), and the pixel position n is initialized (n = 1) (step S13), the process returns to step S2.

  When the frame number m of each of the image frames 18 and 20 reaches the final frame number M, image adjustment of the M color image frames 18 stored in the color image sequence file 6 of the image file 5 and display processing for the display unit 9 are performed. Since it is finished, this flowchart is finished.

  In the image adjustment method and the image adjustment apparatus of the embodiment configured as described above, the three-dimensional CG data of the moving image created by the three-dimensional moving image design apparatus 1 is adopted. Furthermore, dynamic camera work data for photographing the object 11 of the camera 10 virtually arranged in the three-dimensional space of the three-dimensional CG data created by the camera work setting unit 3 is employed. Then, in the color image frame creation unit 14, the time-series M color image frames 18 shown in FIG. 4 in which the RGB pixel values Dn are written in the respective pixel positions n as viewed from the camera 10 are automatically generated. Created.

  Furthermore, each identification value of “1” to “5” that identifies each of the areas 19a to 19e to which the corresponding pixel position n belongs to each pixel position n viewed from the camera 10 from the three-dimensional CG data and the camera work data. Time-series M mask image frames 20 shown in FIG. 6 in which Sn is written are automatically created. The mask image frame 20 is created easily from the three-dimensional CG data and the camera work data, and the range of the regions 19a to 19e is accurately determined in a short time from the region image frame 19 shown in FIG. Can be created.

  Therefore, since the pixel positions n of the time-series color image frames 18 and the pixel positions n of the time-series mask image frames 20 have a one-to-one correspondence, the color image frames 18, 20 Thus, the areas 19a to 19e of the color image frame 18 are accurately identified. Therefore, it is possible to easily adjust the pixel value Dn at each pixel position n included in the areas 19a to 19e specified by the operation unit 27 of the color image frame 18 using the specified image adjustment information.

  That is, since this image adjustment is performed on the pixel value Dn at each pixel position n of the two-dimensional color image frame 18 that has already been created, a rendering process is performed to perform the image adjustment. As a result, the image adjustment processing speed increases.

  Therefore, even if the three-dimensional CG data is displayed as a computer graphics image on the display device 9 using computer graphics technology based on camera work, it is specified in the moving image displayed on the display device 9. The images of the areas 19a to 19e can be adjusted easily and accurately in real time.

  Therefore, it becomes possible to highlight any areas 19a to 19e in the moving image displayed on the display device 9 in comparison with other areas.

  In addition, this invention is not limited to embodiment mentioned above. In the embodiment, three-dimensional CG data is adopted as the CG data. Furthermore, dynamic camera work data for photographing the object 11 of the three-dimensional CG data with the virtually arranged camera 10 is employed.

  However, two-dimensional CG data can also be used as the CG data in addition to the three-dimensional CG data. Further, it is not always necessary to adopt camera work data.

  In this case, a two-dimensional color image frame and a mask image frame are created from the CG data based on the fixed camera position.

1 is a schematic diagram showing a schematic configuration of an image adjustment apparatus to which an image adjustment method according to an embodiment of the present invention is applied. The figure which shows the camera work data of the camera virtually arranged in the three-dimensional space in the image adjustment apparatus of the embodiment 2 is a block diagram showing a detailed configuration of a two-dimensional image creation unit in the image adjustment apparatus of the embodiment Schematic diagram showing the configuration of a color image frame in the image adjustment apparatus of the embodiment The figure which shows the memory content of the area | region definition memory in the image adjustment apparatus of the embodiment Schematic diagram showing the configuration of a mask image frame in the image adjustment apparatus of the embodiment The figure which shows the memory content of the moving image file in the image adjustment apparatus of the embodiment 2 is a block diagram showing a detailed configuration of an image adjustment unit in the image adjustment apparatus of the embodiment. FIG. Flow chart showing the operation of the image adjustment unit

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Three-dimensional moving image design apparatus, 2 ... Two-dimensional image creation part, 3 ... Camera work setting part, 5 ... Movie file, 6 ... Color image sequence file, 7 ... Mask image sequence file, 8 ... Image adjustment part, 9 ... Display device, 10 ... camera, 11 ... object, 14 ... color image frame creation unit, 15 ... region extraction unit, 16 ... region definition memory, 17 ... mask image frame creation unit, 18 ... color image frame, 19 ... region image Frame, 19a to 19e ... area, 20 ... mask image frame, 25 ... adjustment pixel detection unit, 26 ... area image adjustment designation memory, 28 ... pixel value adjustment unit

Claims (4)

A color image frame creation step of creating a color image frame in which color information is written at each pixel position from CG data;
A mask image frame creating step for creating a mask image frame in which an identification value for specifying each region to which the corresponding pixel position belongs at each pixel position is written from the CG data;
An area image adjustment designation step for designating image adjustment information for commonly adjusting the color information of each pixel position included in the area by designating the area;
It is designated in the region image adjustment designation step at each pixel position constituting the color image frame with reference to each pixel position constituting the color image frame and an identification value of each corresponding pixel position of the mask image frame. A pixel position detection step for detecting each pixel position included in the region,
An image adjustment method comprising: adjusting the color information of the pixel position detected in the pixel position detection step using the image adjustment information specified in the region image adjustment specifying step. Color image frame creation means for creating a color image frame in which color information is written at each pixel position from CG data;
A mask image frame creating means for creating a mask image frame in which an identification value for specifying each region to which the corresponding pixel position belongs at each pixel position is written from the CG data;
Area image adjustment designating means for designating image adjustment information for commonly adjusting the color information of each pixel position included in the area by designating the area;
Designated by the region image adjustment designating means at each pixel position constituting the color image frame with reference to each pixel position constituting the color image frame and an identification value of each corresponding pixel position of the mask image frame Pixel position detecting means for detecting each pixel position included in the region,
An image adjustment apparatus comprising: image adjustment means for adjusting color information of a pixel position detected by the pixel position detection means using image adjustment information designated by the region image adjustment designation means.   The image adjustment apparatus according to claim 2, wherein the mask image frame creation means determines each area using coordinate data in the CG data. Each pixel position seen from the camera from the three-dimensional CG data of the moving image and the dynamic camera work data for shooting the moving image of the camera virtually arranged in the three-dimensional space of the three-dimensional CG data A color image frame creating means for creating a plurality of time-series color image frames in which color information is written,
A plurality of time-series masks in which identification values specifying each region to which each pixel position belongs are written to each pixel position, as viewed from the camera, from the three-dimensional CG data of the moving image and the camera work data. A mask image frame creating means for creating an image frame;
Area image adjustment designating means for designating image adjustment information for commonly adjusting the color information of each pixel position included in the area by designating the area;
Designated by the region image adjustment designating means at each pixel position constituting the color image frame with reference to each pixel position constituting the color image frame and an identification value of each corresponding pixel position of the mask image frame Pixel position detecting means for detecting each pixel position included in the region,
An image adjustment apparatus comprising: image adjustment means for adjusting color information of a pixel position detected by the pixel position detection means using image adjustment information designated by the region image adjustment designation means.

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