JP2756048B2 - Color image color adjustment and image synthesis method and apparatus - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a color adjusting method of a color image for extracting and adjusting or correcting an arbitrary object or color of a color original, and an image synthesizing method for synthesizing the extracted object with another image. The invention relates to a method and, moreover, to the device. Adjustment of colors and synthesis of images in a color image are required in a design system using a computer and a color monitor, in creation of computer graphics, and the like. When designing products such as packages and cars using computers, posters, etc., create an image on a monitor or input a base image with a reading device etc., assign colors to each part of the image, assign colors Adjust and correct the colors, and combine them with images from other databases. Further, in the creation of computer graphics, it is necessary to adjust the color of the created image.

[0002] In the use of colors on such a computer, the extraction of colors with even higher precision, the simplicity of adjustment, correction, and synthesis operations, the naturalness of the adjustment, correction, and synthesis results, and the more user-friendly computer There is a demand for a human interface and a human interface.

[0003]

2. Description of the Related Art Conventionally, in color adjustment and correction of a color image, an area to be adjusted is changed to a color to be adjusted by designating an image or an object to be adjusted and specifying a color to be adjusted. I do. As a method of selecting a target color, as shown in FIG. 7, a method of selecting a desired color from the color palette by displaying a color palette, for example, displaying a large number of colors with one color as a small square, on a display. There is.

As a method of designating an adjustment amount, as shown in FIG. 8, an image in which a knob for adjusting brightness, saturation, hue (or RGB value) is simulated is displayed on a monitor screen of a personal computer. Display, change the position of the knob setting value to specify the adjustment amount, and change the color by adding or subtracting three parameters of lightness, saturation, and hue to the image data to be adjusted. ing.

In such conventional color adjustment and correction, the boundary between the area to be adjusted and the background is either included in the area to be adjusted or left as the background. In addition, in the synthesis of a color image, the image placed on the front is replaced by image data of a part of the background image. At this time, the processing of the boundary between the front image and the background image is particularly performed. Not.

[0006]

However, in such conventional color adjustment and image synthesis of a color image, as a result of performing color adjustment and image synthesis, unnaturalness occurs at a boundary portion with a background image. There is a problem that it occurs. First, the unnaturalness of the boundary will be described.

For color adjustment, a target color for adjustment is specified on a color palette as shown in FIG. 7, and the entire extracted area is replaced with the specified color. If a conventional method is used for image data obtained by digitizing a color document of a normal natural image, for example, a color document that can be represented by 8 bits of each color of RGB with an input device such as a camera, a drum scanner, and an image scanner, the color document is adjusted after color adjustment The spots are noticeable as if they float, and the naturalness of the image is lost.

That is, although the boundary between the adjustment region and the unadjusted portion (background) has changed smoothly before the adjustment, the continuity of the image data is lost due to the color adjustment.
This is because the change becomes sudden. As a result, it looks as if a pseudo contour has occurred at the boundary with the adjustment region. The cause is as follows. Even if there is no mixed color at the boundary between the objects (colors) of the original color original, the two colors are mixed when the color original is digitized by a camera, a drum scanner, an image scanner, or the like. That is, the image input irradiates the original with light and reflects the reflected light with a certain area.
Photoelectric conversion is performed by a CD image sensor, photomultiplier, etc., and digitized.

At this time, as shown in FIG. 9, reflected light from an area wider than the area of the document corresponding to one pixel of the sensor actually enters the sensor and is in a blurred state. This is due to the limitation of the resolution of the lens. As a result,
Intermediate colors that are not present in the original document are generated at the boundary of the object in the form of additive color mixture of the reflected lights of the two colors. However, this achieves a continuous and natural feel to the image.

[0010] The unnaturalness of the image boundary also becomes a problem when a certain image is combined with another image. For example, when synthesizing a landscape image with a car or a person, simply superimposing the images lacks the naturalness of the image.
This may be because the image data at the boundary portion is not continuous. Further, in the image scanner, a color shift phenomenon inherent in the reading principle occurs. This is generated by a device using a contact sensor as shown in FIG. 10A or a color image scanner by switching light sources as shown in FIG.

That is, in the contact sensor shown in FIG. 10A, since the positions where each of the RGB pixels actually read the original in the main scanning direction are different, as shown in FIG. An impossible color that does not occur with simple additive color mixing of objects and objects occurs. For example, if the object is white and the object is black, the R output is white, the G output is gray, and the B output is black, so that an additive color mixture of RGB produces orange as an impossible color.

Similarly, in the light source switching reading shown in FIG. 11A, three colors are read in a time division manner by sequentially switching the light sources, so that the RGB in the sub-scanning direction is used as shown in FIG.
The output changes, resulting in an impossible color that would not occur with simple additive color mixing of the background and the object. Such a color shift does not occur in the drum scanner. This is because the three-color RGB sensor is configured to read the same position on the document in the drum scanner.

As described above, the boundary processing at the time of color adjustment or image synthesis of a color image read by an image scanner is as follows.
High-precision processing cannot be performed with simple additive color mixing. The present invention has been made in view of such conventional problems,
The color processing of the boundary part at the time of color adjustment and image synthesis, and the color processing of the boundary part when there is an inherent color misregistration phenomenon with an image scanner etc. It is an object of the present invention to provide a method and apparatus for color adjustment and additive synthesis.

[0014]

FIG. 1 is a diagram illustrating the principle of the present invention. First, as shown in FIG. 1A, the present invention is directed to a color adjustment method for a color image in which an arbitrary object image is extracted from a color image and a color adjustment process for changing or adjusting a color is performed. As shown in FIG. 1B, the present invention is directed to a color adjustment and a color image processing method for performing an image combining process for combining with another image.

According to the present invention, such a color image color adjusting and image synthesizing method according to the present invention, the color C ₁₄ of the boundary portion 3 between the object portion 2 and the background portion 1 is used for color adjustment. generated by additive color mixing process of a new color C ₄ RGB signal and existing color C ₁ of the RGB signals of the background portion 1, also the color C of the boundary 3 between the object portion 2 and the background portions 4 at the time of image synthesis ₂₄ is generated by an additive color mixing process of the RGB signal of the existing color C ₄ of the object part 2 and the RGB signal of the new color C ₄ of the background part 4.

Examples of the additive mixture process by the RGB signal, obtains the ratio of mixing of the object color C ₂ and the background color C ₁ for the color before adjustment or image synthesis before the boundary color C _12, new at the time color adjustment according to the ratio calculating a object color C ₄ and border colors C ₁₄ with a mixed background color C _1, or a border color C ₂₄ by mixing with the object color C ₂ to synthesize a new background color C ₄ at the time of image synthesis.

Specific Example 1 of Additive Color Mixing Using RGB Signals
Is one of R signal, G signal or B signal
Of the boundary color C before color adjustment or image synthesis₁₂
Object color C for_Two And background color C₁ Of the mixture of
This ratio is the ratio of the common mixture of the RGB signals of the object color and the boundary color.
New object color C at the time of color adjustment as percentage_Four And background color C₁ Blend of
Boundary color C₁₄Or a new background color C at the time of image composition
_Four Object color C synthesized with _Two Color C by mixing with_{twenty four}Is calculated
Put out.

Specific Example 2 of Additive Color Mixing Using RGB Signals
The, R signal and object color C ₂ and the background color C ₁ of the previous adjustment before or synthetic for boundary colors C _12, obtains the ratio of the respective color mixture of G and B signals, the average value for the three mixing ratio , An intermediate size value, or a common mixture ratio such as an arbitrary value of 0 or more and 1 or less to obtain a boundary color C ₁₄ by mixing a new object color C ₄ and a background color C ₁ at the time of color adjustment. ,
Or object color C to synthesize a new background color C ₄ at the time of image synthesis
A boundary color C ₂₄ is calculated by mixing the color C ₂ with the boundary color C ₂ .

Specific Example 3 of Additive Color Mixing Using RGB Signals
The, R signal and object color C ₂ and the background color C ₁ of the previous adjustment before or synthetic for boundary colors C _12, obtains the ratio of the respective color mixture of G and B signals, these R signals, G signals and B object color C to synthesize the boundary color C ₁₄ or a new background color C ₄ at the time of image synthesis, according to the new object color mixing of C ₄ and the background color C ₁ at the time of color adjustment with individually each of the ratio of signal _Two
To calculate the boundary color C ₂₄ by mixing with.

Specific Example 4 of Additive Color Mixing Using RGB Signals
Are the object color C ₂ and the background color C ₁ before adjustment or synthesis.
R signals and, among the three signals of the G signal or the B signal, obtains the ratio of the mixed color from any one of a signal which is determined by the configuration of the input device relative to the boundary color C _12, color this ratio as a common mix ratio The boundary color C ₁₄ is calculated by mixing the new object color C ₄ and the background color C ₁ at the time of adjustment, or the boundary color C ₂₄ is calculated by mixing the new background color C ₄ and the object color C ₂ to be synthesized at the time of image synthesis. I do.

Further, as a signal format for performing the additive color mixture processing in the present invention, a signal in a format that is linearly converted from an RGB signal may be used. On the other hand, the present invention is directed to a color image color adjusting and image synthesizing apparatus that performs an color synthesizing process of changing or adjusting a color by extracting an arbitrary object image from a color image or performing an image synthesizing process of synthesizing with another image. Memory means for storing input image data including RGB signals obtained by the image input device, object extracting means for extracting a specified object image from the input image data in the memory means, and extraction by the object extracting means Boundary detection means for detecting a boundary portion between an image and a background portion, processing means for performing color adjustment processing and image synthesis processing, and color adjustment or image synthesis according to the processing means, at the time of color adjustment or During image composition,
The color of the boundary portion between the adjusted or synthesized object portion and the background portion is calculated by using the RGB signal of the color of the object portion and the R of the color of the background portion.
A boundary processing means for calculating a boundary color generated by an additive color mixture process of a GB signal and processing a boundary portion; and an image for displaying an image such as an input image, an extracted image, and an adjustment result or an image synthesis result on a display device. Display memory means for storing.

[0022]

According to the color image color adjusting method, the image synthesizing method and the image synthesizing method according to the present invention having such a configuration, first, a target area in a color image to be adjusted or corrected is extracted and adjusted or corrected. Specify the target color
When changing the color of the entire target area, in addition to adjusting the color of the adjustment area, a boundary between the color of the background part and the adjustment area is detected, and an additive color mixing process of the boundary color is performed at the detected boundary.

As a result, similar to the image before adjustment or correction, the continuity of data at the boundary portion is preserved, and natural color adjustment or image synthesis can be performed. In addition, a pseudo contour can be prevented from being generated at the boundary between the adjustment region and the other region, and the naturalness of the image can be prevented from being impaired. Also, when combining two images, a new color is created at the boundary of the combined image so that the continuity of the boundary of the original image from which the region to be combined is extracted is preserved. Thus, similarly to the color adjustment, it is possible to make the synthesized image feel natural.

[0024]

FIG. 2 is a flowchart showing the flow of processing of a color adjusting method and an image synthesizing method for a color image according to the present invention. Referring to FIG. 2, the flow of color adjustment and image synthesis processing according to the present invention will be described. First, in step S1, an image of a color original read by an image input device such as an image scanner is displayed on a color display device. In the color image displayed on the color display, for example, taking color adjustment as an example, an object extraction process is performed by designating a region where color adjustment is desired.

This object extraction processing can be performed by, for example, designating the periphery of the extraction target area with a light pen. Subsequently, it is determined in step S3 whether or not the extraction result is appropriate. If the result is not OK, the process returns to step S2 to perform the extraction process again. If the extraction result is appropriate, the process proceeds to step S4 to perform a process of detecting a boundary portion of the extracted object.

Then, the process proceeds to step S5, in which color adjustment and image synthesizing processing are performed based on the object extraction result and the boundary detection result. Further, in the present invention, in step S6, an additive color mixture process, which is a process of a boundary portion at the time of color adjustment or image synthesis, is performed on the RGB signals of each color to determine a boundary color, and a series of processes is ended. FIG. 3 is an explanatory diagram of the additive color mixture processing which is the boundary processing of the present invention.

In FIG. 3, reference numeral 1 denotes a background, 2 denotes an object, and 3 denotes a boundary. Pixel data at a boundary 3 between the object 2 and the background 1 is a value obtained by additively mixing the image data of the object 2 and the background 1. ing. Basically, the background color C ₁ = (Rb, Gb, B
b), object color C ₂ = (Ro, Go, Bo), two colors C
Boundary color C ₁₂ = (Re, G) obtained by additive mixing of ₁ and C ₂
e, Be), k1 and k2, which are addition ratios of the RGB data, have the same value regardless of the value of the RGB data.

That is, the following equation basically holds between the boundary color, the object color, and the background color by additive color mixture. (Boundary color) = K1 × (object color) + k2 × (background color) (1) This relational expression holds for each of R, G, and B data.

Therefore, Re = k1 × Ro + k2 × Rbk1 + k2 = 1 (2) holds for the R signal, and Ge = k1 × Go + k2 × Gbk1 + k2 = 1 (3) holds for the G signal, and further B For signals, Be = k1 × Bo + k2 × Bb k1 + k2 = 1 (4).

Here, basically, k1 and k2, which are the addition ratios of the RGB data, are the same regardless of the value of the RGB data, so that any of the above formulas (2), (3) and (4) is used. The values of the mixing ratios k1 and k2 are determined by using. Thus, the boundary color C ₁₂ between the background color C ₁ and the object color C ₂
Mixing ratio k1, if k2 is determined, the mixing ratio k even when for example subjected to color adjustment to change the object color C ₂ to other colors
1, using the k2 new object color, it is possible to calculate the boundary color C ₁₄ between for example C _4.

FIG. 4 is an explanatory diagram showing a specific example of the color adjustment processing of the present invention. In FIG. 4, reference numeral 5 denotes an image before color adjustment, in which an object 2 is drawn in a background 1, a background color of the background 1 is C ₁ , an object color of the object 2 is C ₂ , and a boundary of the boundary portion 3. the color and C _12. In the color adjustment, for example it intended to change the object color C ₂ of the object 2 to another object color C _4.

[0032] In this case, as shown in the image 6 after the adjustment, the background color C ₁ and the object color border color C ₁₄ boundary portion 3 while changing the color of the object 2 to the new object color C ₄ C Change to the color obtained by additive color mixing in ₄ . Specifically, for the image 5 before the adjustment, the mixing ratios k1 and k2 of the additive color mixture in the original image are obtained by using any of the equations (2), (3) and (4).

Subsequently, if the color C _{4 of the} object 2 to be changed is, for example, C ₄ = (Ro ′, Go ′, Bo ′),
The boundary color C ₁₄ = (Re ′, Ge ′, Be ′) of the boundary portion 3 is calculated using the mixture ratios k1 and k2 already obtained by the following equation. Re '= k1.times.Ro' + k2.times.Rb Ge '= k1.times.Go' + k2.times.Gb Be '= k1.times.Bo' + k2.times.Bb (5) FIG. 5 is an explanatory diagram showing the image synthesizing process of the present invention. .

The image composition shown in FIG. 5 is an example in which the object 2 in the image 11 is extracted and combined with the image 8 having only the background portion 4. Also in this case, the process of additive color mixture for obtaining the same color of the boundary portion as in the color adjustment in FIG. 4 is performed.
Now, the object 2 of the image 11 for extracting the object 2 to be synthesized
The background color C ₁ , the object color C _2, and the boundary color C ₁₂ are obtained for the boundary portion 3 between the image and the background 1 in the same manner as in FIG. 3 and mixed by either of the above equations (2), (3) or (4). The ratios k1 and k2 are obtained.

[0035] followed by extraction of the object 2 from the image 11 superimposed on the image 8 having a new background color C ₄ to. here,
Let the new background color C ₄ be C ₄ = (Rb ′, Gb ′, Bb ′)
When using the mixing ratio k1, k2 obtained from the image 11 the following equation by the boundary color C ₁₄ = (Re' the boundary 3 between the object 2 and the background 4 in the composite image 9, Ge', Be
′) Is calculated and set. Re ′ = k1 × Ro + k2 × Rb ′ Ge ′ = k1 × Go + k2 × Gb ′ Be ′ = k1 × Bo + k2 × Bb ′ (6) In FIG. 3, continuity in the x direction with respect to the boundary 3 in the vertical direction Is described, but the same processing may be performed in the y direction when the boundary 3 is in the horizontal direction. Therefore, prior to the additive color mixture processing of the boundary 3, in the boundary detection processing of step S4 shown in FIG. 2, if the boundary 3 is detected in the vertical direction or the horizontal direction, and the processing according to the detection direction is performed. Good.

Next, a description will be given of a second embodiment of the boundary processing using additive color mixture according to the present invention. First, in the first embodiment described above, the ratios k1 and k2 of the additive color mixture of the respective RGB data used at the time of color adjustment and image synthesis are treated as constant regardless of RGB. It may be different every time. This is caused by noise in the input device
As shown in FIG. 11B and FIG. 11B, this is due to the color misregistration phenomenon inherent in the reading device for a color original.

As described above, even if the calculations as shown in the above equations (2), (3) and (4) are performed at the boundary between images having noise and color shift, the ratios k1 and k2 do not become the same for each of the RGB data. For this reason, using the ratios k1 and k2 obtained by any of the equations (2), (3) and (4), the boundary at the time of color adjustment or image synthesis is calculated by the equation (5) or (6). When the calculation of the additive color mixture of the colors is performed, the continuity of the image data may not be preserved, and the naturalness of the boundary portion may not be obtained.

Therefore, in the second embodiment, for the R signal, Re = k1r × Ro + k2r × Rbk1r + k2r = 1 (7) For the G signal, Ge = k1g × Go + k2g × Gb k1g + k2g = 1 (8) Signals Be = k1b × Bo + k2b × Bb k1b + k2b = 1 (9) Assuming that the ratio k1r, k2r,
k1g, k2g, k1b, k2b are obtained, and Re ′ = k1r × Ro ′ + k2r × Rb Ge ′ = k1g × Go ′ + k2g × Gb Be ′ = k1b × Bo ′ + k2b × Bb (10) The boundary colors (Re ', Ge', Be ') at the time of adjustment and at the time of image composition are calculated.

According to the method of the second embodiment, the continuity of data at the boundary similar to the original image can be preserved even for an image having a color shift. Next, a description will be given of a third embodiment of the additive color mixture processing used for color adjustment and image synthesis according to the present invention. In the third embodiment, an average value of each ratio of RGB data is obtained by using the ratio of each image data obtained by the equations (7), (8), and (9), and the common ratios k1, k2 and The central value of each ratio of the RGB data to a common ratio k
1, k2. Since the values of the ratios k1 and k2 always have a value of 0 to 1, set an arbitrary value between 0 and 1. From each object color data of the RGB data to the background color data The ratio of the color that maximizes the change in the value of
The three ratios k1 and k2 are reduced to one ratio k1 and k2 by reducing the influence of noise as k2.
To integrate.

As described above, there are three different RGB data.
Even if two ratios k1 and k2 are obtained, common ratios k1 and k2
Wherein as shown in FIG. 4 by determining (5) the indicated formula in determining and 5 of the boundary color C ₁₄ after color adjustment using the (6)
The determination of the boundary color C ₂₄ at the time of image synthesis using the equation can be performed in the same manner. According to this method, there is an effect that the color shift by the image scanner can be removed simultaneously with the boundary processing.

Next, a description will be given of a fourth embodiment of the boundary processing by additive color mixture according to the present invention. In the fourth embodiment, as in the third embodiment, the influence of the color shift of the image scanner can be removed, the continuity of the image boundary data can be preserved, and the ratio can be reduced based on the configuration of the image input device such as the image scanner. k
The calculation for obtaining the parameters of 1 and k2 is reduced, and the calculation of the boundary processing is simplified as compared with the third embodiment.

For example, in the reading by the contact sensor shown in FIG. 10A, if one pixel is composed of a set of RGB data in order, attention is paid to the output of the central G sensor. Here, when the boundary is on the G sensor at the center of the pixel, the data of the G sensor is an intermediate value of the data when the G sensor is located on both sides. Specifically, when the G sensor is on the boundary between white and black, and the left side is white and the right side is black, an intermediate gray output is obtained. When the boundary is on the B sensor on the right side of the G sensor, the output of the G sensor is an output largely influenced by the white portion on the left side of the data when the G sensor is on both sides, that is, a whitish gray output. .

Further, when the boundary is on the R sensor on the left side of the G sensor, the output of the G sensor is an output in which the right black portion has a large effect on the data when the G sensor is on both sides, that is, a dark gray color. Output. From the above,
By paying attention to the output of the G sensor, it is possible to know where in the one pixel area of one set of RGB there is an actual boundary.

Accordingly, the ratios obtained from the G signal based on the above sensor configuration in the image scanner, that is, the ratios k1g and k2g obtained from the above equation (8) are applied to the calculation of all the RGB image data. Re ′ = k1g × Ro ′ + k2g × Rb Ge ′ = k1g × Go ′ + k2g × Gb Be ′ = k1g × Bo ′ + k2g × Bb (11) It is possible to obtain boundary data at the time of color adjustment and image synthesis while preserving the continuity of the adapted data.

In the fourth embodiment, the reading of the contact sensor shown in FIG. 10 is taken as an example. However, the light source switching reading shown in FIG. The ratios k1g and k2g may be obtained from the equation (8) based on the signal data, and the boundary data at the time of color adjustment and image synthesis may be calculated by the equation (11).

According to the fourth embodiment, this is effective when the configuration of the reading device that has input the image is known, and the ratio for each of the RGB data is obtained by the above equations (7), (8) and (9). The calculation process is reduced to one third, and the processing time can be reduced. Of course, if the configuration of the reading device that has input the image is not known, as described in the third embodiment, the above (6) to
The ratio for each of RGB may be obtained from Expression (9), the ratio of the mixed colors may be integrated into one K1, k2, and the data of the boundary portion at the time of color adjustment and image synthesis may be calculated by Expression (6).

FIG. 6 is a block diagram showing an embodiment of the color adjusting and image synthesizing apparatus according to the present invention. In FIG. 6, input image data composed of RGB signals from a color original or the like read by an image input device 11 such as an image scanner is first stored in an image holding memory 12. The input image data stored in the image holding memory 12 is sent to the display memory 17 as it is, and a color image of the input image data is displayed on the color display device 10.

Here, for example, in the case of performing color adjustment, for the color image of the input image data displayed on the color display device 12, when an extraction target object for which color adjustment is to be performed is specified by using, for example, a light pen, the object extraction circuit 13 As a result, a target object extraction process is performed on the input image data of the image holding memory 12. At the same time, the boundary detection circuit 1
4 operates to detect the boundary of the extracted target object.

Subsequently, the color adjusting / image synthesizing processing circuit 15 operates to perform, for example, in the case of color adjustment, a color adjusting process for changing the object to be extracted to the target color specified by the operator. Subsequently, the boundary processing circuit 16 operates to perform an additive color mixture process as a boundary process according to any of the above-described first to fourth embodiments on the boundary of the extracted target object. The above processing result is stored in the image holding memory 12, and when a series of processing is completed, it is sent to the display memory 17 and displayed on the color display device 10.

In the above-described embodiment, the additive color mixture processing using the RGB signals has been described. However, the same processing can be performed linearly from the RGB color system, for example, by using the XYZ color system signals. It can be carried out. Further, in the above embodiment, the boundary processing at the time of the color adjustment and the image synthesizing processing is described as an example. However, the boundary processing by the additive color mixture of the present invention is naturally applied to an image such as computer graphics. It can be used as it is when giving the feeling.

[0051]

As described above, according to the present invention, when the target area in the color image to be adjusted or corrected is extracted and the color of the entire area is changed, the boundary between the adjusted area and the background is changed. In order to perform boundary color generation processing by additive color mixing of RGB signals for detecting and preserving the continuity of the boundary portion, the color-adjusted image is input to the image scanner and input into the image scanner in the same manner as a normal color image digitized. Appropriate color adjustment can be made so that it can be felt.

Similarly, in image synthesis, by performing boundary processing by additive color mixing of RGB signals for preserving the continuity of the boundary part in the original image at the boundary part of the superimposed image, the naturalness of the boundary part is obtained. Therefore, it is possible to obtain an appropriate composite image without impairing the image.

[Brief description of the drawings]

FIG. 1 is a diagram illustrating the principle of the present invention.

FIG. 2 is a flowchart showing the flow of color adjustment and image synthesis processing according to the present invention;

FIG. 3 is a diagram illustrating RG at a boundary where an additive color mixture process is performed in the present invention;
Explanatory diagram showing B pixels

FIG. 4 is an explanatory diagram of a color adjustment process according to the present invention.

FIG. 5 is an explanatory diagram of an image synthesizing process according to the present invention.

FIG. 6 is a configuration diagram of an embodiment of the device configuration of the present invention.

FIG. 7 is an explanatory diagram of a conventional color palette used for selecting a target color.

FIG. 8 shows hue, saturation,
Illustration of image for adjusting brightness and brightness

FIG. 9 is an explanatory diagram showing image input characteristics in a color document input device.

FIG. 10 is an explanatory diagram showing a configuration of a contact sensor reading type image scanner and a state of color misregistration.

FIG. 11 is an explanatory diagram showing a configuration of a light source switching reading type image scanner and a state of color misregistration.

[Explanation of symbols]

 1, 4: background part (background) 2: object part (object) 3: boundary part 10: color display device 11: image input device 12: image holding memory 13: object extraction circuit 14: boundary detection circuit 15: color adjustment / Image synthesis processing circuit 16: Association expense processing circuit 17: Display memory

──────────────────────────────────────────────────続 き Continued on the front page (58) Field surveyed (Int.Cl. ⁶ , DB name) G06T 1/00 G09G 5/36 H04N 1/60

Claims (7)

(57) [Claims] 1. A color adjusting and image synthesizing method for extracting an arbitrary object image from a color image and changing or adjusting the color, or performing an image synthesizing process for synthesizing with another image. , at the time of color adjustment color C ₁₄ boundary portion 3 between the object portion 2 and the background portion 1, the existing color C ₁ of the RGB signals of the RGB signals and the background portion 1 of the new color C ₄ object part 2 At the time of image synthesis, the color C ₂₄ of the boundary portion 3 between the object portion 2 and the background portion 4 is converted to the RG of the existing color C ₂ of the object portion 2 at the time of image synthesis.
The B signal and the RGB signal of the new color C ₄ of the background portion 4 are generated by additive color mixing processing.
Object color C ₂ relative to the image before combining the boundary color C ₁₂ and background color C ₁
Calculate the mixing ratio, and adjust the color according to the ratio.
Boundary color C ₁₄ by mixing body color C ₄ and background color C ₁ , or image
Mixing of the object color C ₂ to synthesize a new background color C ₄ of the synthesis
Color adjustment and image composition method of the color image and calculates the boundary color C ₂₄ by. 2. Extracting an arbitrary object image from a color image
Color adjustment processing to change or adjust colors, or with other images
Color adjustment of color image and image
In the image synthesizing method, at the time of color adjustment , a boundary portion between the object portion 2 and the background portion 1
The color C ₁₄ of the third object is converted to the RGB signal of the new color C ₄ of the object part 2.
Additive color processing of existing color C ₁ of the RGB signals of the background portion 1 and
Generated at the time of image synthesis, and the boundary between the object portion 2 and the background portion 4 during image synthesis.
The color C ₂₄ of the field part 3 is replaced by the RG of the existing color C ₂ of the object part 2.
Addition of B signal and RGB signal of new color C ₄ of background part 4
R signal, G generated by the color mixing process ,
Color tone for one signal, either signal or B signal
The object color C ₂ with respect to the boundary color C ₁₂ before the setting or the image synthesis
Find the ratio of mixing of the background color C _1, and the object color the ratio
As a ratio of the common mixture of the RGB signals of the boundary color, the boundary color C ₁₄ by mixing the new object color C ₄ and the background color C ₁ at the time of color adjustment,
Alternatively, an object color C ₂ to be synthesized with a new background color C ₄ at the time of image synthesis.
Color adjustment and image composition method of the color image and calculates the boundary color C ₂₄ by mixing with. 3. Extracting an arbitrary object image from a color image
Color adjustment processing to change or adjust colors, or with other images
Color adjustment of color image and image
In the image synthesizing method, at the time of color adjustment , a boundary portion between the object portion 2 and the background portion 1
The color C ₁₄ of the third object is converted to the RGB signal of the new color C ₄ of the object part 2.
Additive color processing of existing color C ₁ of the RGB signals of the background portion 1 and
Generated at the time of image synthesis, and the boundary between the object portion 2 and the background portion 4 during image synthesis.
The color C ₂₄ of the field part 3 is replaced by the RG of the existing color C ₂ of the object part 2.
Addition of B signal and RGB signal of new color C ₄ of background part 4
Generated by color mixing processing, and as an additive color mixing processing by the RGB signals, before adjustment or
The object color C ₂ and the background color C ₁ for the synthesis before the border color C ₁₂
Calculate the ratio of each color mixture of R signal, G signal and B signal.
The ratio of each of the R signal, G signal and B signal is
Separately, a boundary color C ₁₄ by mixing a new object color C ₄ at the time of color adjustment and a background color C ₁ , or a new background color C ₄ at the time of image synthesis
Color adjustment and image Founder method of a color image, and calculates the boundary color C ₂₄ by mixing with the object color C ₂ to synthesize the. 4. Extracting an arbitrary object image from a color image
Color adjustment processing to change or adjust colors, or with other images
Color adjustment of color image and image
In the image synthesizing method, at the time of color adjustment , a boundary portion between the object portion 2 and the background portion 1
The color C ₁₄ of the third object is converted to the RGB signal of the new color C ₄ of the object part 2.
Additive color processing of existing color C ₁ of the RGB signals of the background portion 1 and
Generated at the time of image synthesis, and the boundary between the object portion 2 and the background portion 4 during image synthesis.
The color C ₂₄ of the field part 3 is replaced by the RG of the existing color C ₂ of the object part 2.
Addition of B signal and RGB signal of new color C ₄ of background part 4
As an additive color mixture process generated by the color mixture process and using the RGB signals, the R of the object color C ₂ and the background C ₁ with respect to the boundary color C ₁₂ before adjustment or synthesis is obtained.
The ratio of each color mixture of the signal, the G signal, and the B signal is obtained, and the average value and the intermediate magnitude of the three mixture ratios are calculated.
Integrated into a common mixing ratio of the value or the like to synthesize the boundary color C ₁₄ or a new background color C ₄ at the time of image synthesis, by mixing a new object color C ₄ and the background color C ₁ at the time of color adjustment object color adjustment and image composition method of the color image and calculates the boundary color C ₂₄ by mixing with color C _2. 5. Extracting an arbitrary object image from a color image
Color adjustment processing to change or adjust colors, or with other images
Color adjustment of color image and image
In the image synthesizing method, at the time of color adjustment , a boundary portion between the object portion 2 and the background portion 1
The color C ₁₄ of the third object is converted to the RGB signal of the new color C ₄ of the object part 2.
Additive color processing of existing color C ₁ of the RGB signals of the background portion 1 and
Generated at the time of image synthesis, and the boundary between the object portion 2 and the background portion 4 during image synthesis.
The color C ₂₄ of the field part 3 is replaced by the RG of the existing color C ₂ of the object part 2.
Addition of B signal and RGB signal of new color C ₄ of background part 4
The R signal, the G signal, or the R signal of the object color C ₂ and the background color C ₁ before adjustment or before synthesis are generated as an additive color mixture process generated by the color mixture process and using the RGB signals.
Among the three B signals, it is determined by the configuration of the input device.
Ratio from Rudore or one signal of the color mixture with respect to the boundary color C ₁₂
Is determined as a common mixture ratio, and the object to be combined with the boundary color C ₁₄ by mixing the new object color C ₄ at the time of color adjustment and the background color C ₁ or the new background color C ₄ at the time of image composition color adjustment and image composition method of the color image and calculates the boundary color C ₂₄ by mixing with color C _2. 6. The color adjustment and image synthesis method for a color image according to claim 1 , wherein the signal for performing the additive color mixture processing is an RGB signal.
A color adjustment and image synthesizing method for a color image, wherein a signal in a format linearly converted from a color image is used . 7. Extracting an arbitrary object image from a color image
Color adjustment processing to change or adjust colors, or with other images
Color adjustment and image processing
In the synthesizing device, the input image data including the RGB signals obtained by the image input device is input.
Memory means for storing data, and an object image designated from input image data of the memory means.
Extracting means for extracting the image, and a boundary portion between the image extracted by the object extracting means and the background portion
And boundary detection means for detecting, and processing means for performing synthesis processing color adjustment and image, in accordance with the synthesis of color adjustment and image caused by the processing means, color
During adjustment or image synthesis, the adjusted or synthesized object
The color of the boundary between the background part and the
The additive color mixing process of the B signal and the RGB signal of the background color
Boundary for processing the boundary part by calculating the boundary color to be generated
Processing means and the input image, the extracted image, and the adjustment result or the image synthesis result.
For display to store which image to display on the display device
And a memory means , wherein the additive color mixture processing is performed based on the object color C _{12 with} respect to the boundary color C ₁₂ before color adjustment or image synthesis.
₂ and the background color C ₁ are determined, and the ratio is used, or the ratio is determined for one of the R, G, and B signals.
There are, things on the color before adjustment or image composition before the border color C ₁₂
Find the ratio of mixing of the color of the body C ₂ and the background color C _1, said the ratio
Uses the mixture ratio of the RGB signal common to the object color and the boundary color
Or, before adjustment or object color C ₂ and the back on the synthesis before the border color C ₁₂
Each mixing of R, G and B signals of the scene C ₁
The color ratio is determined, and the R signal, the G signal, and the B signal are
Color ratio before use or before adjustment or synthesis
R signals and object color C ₂ and the background C ₁ for _12, G signal and
The ratio of each color mixture of the B signal is obtained, and the three mixture ratios are calculated.
Common mixture ratios such as average, medium size, etc.
Or to integrate the rate adjustment before or R signal with the object color C ₂ and the background color C ₁ of the previous synthesis,
Of the three signals of G signal or B signal, the configuration of the input device
For border color to C ₁₂ depends any one of the signals by
Find the ratio of the color mixture, or the said ratio with a common mixing ratio, a new object colors at the color adjustment by either C ₄ and background color
The boundary color C ₁₄ by mixing C ₁ , or a new background when combining images
Boundary color C ₂₄ by mixing scenery C ₄ and object color C ₂ to be synthesized
Color adjustment of a color image and image
Imaging device.