JPH0799589A - Color picture device and color picture adjustment method - Google Patents

Abstract

PURPOSE:To provide a color picture device with excellent operability and whose color is adjusted in which a color adjustment command is set so as to be corresponding to displayed color information. CONSTITUTION:The device is provided with a color picture input section 1, a color adjustment section 2, a color picture output section 3, an external device interface section 4 and a picture display section 5, and a means displaying simultaneously an original picture and an adjusted picture, a means displaying an original picture of adjustment object and color information of the adjusted picture. Furthermore, an adjustment command means by which the cross reference between the color adjustment value and the color information distribution is made clear and a means setting a color adjustment matrix based on the adjustment command is provided to a color information display means 50. Thus, the cross reference among the color adjustment command, a color information graph and the adjustment picture is made clear, the operability of the human interface is improved and the user itself easily adjusts the color. Furthermore, the color adjustment of an external device is made easily.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus for editing a color image displayed by electric signals.
In particular, it relates to a color image device in which the color adjustability of the image is improved.

[0002]

[Prior art]

Conventional example 1. FIG. 25 is a block diagram of a conventional color correction device disclosed in, for example, Japanese Patent Laid-Open No. 4-352569. In the figure, 6 is a scanner for reading an image, 8 is a printer for forming an image, and 7 is a color correction device in a conventional example. The color correction device 7 is composed of the following blocks. Reference numeral 71 is a color correction unit that executes color correction, 72 is an initial parameter memory unit that stores parameters for adjusting the degree of initial color correction, and 73 is an initial parameter memory unit 72.
Is a data input unit capable of setting the contents of a correction parameter, 74 is a correction parameter memory unit for storing parameters for adjusting the degree of color correction for correction, 75 is a fuzzy inference unit for deriving correction parameters from user's operation, and 76 is a user. Is an operation unit for inputting the instruction.

FIG. 26 is a block diagram showing the internal structure of the color correction section 71 shown in FIG. In this figure, 71
Reference numeral 1 is a color correction table memory unit that stores and corrects a conversion table that corrects input image data, 712 is a color range determination unit that determines whether or not an image has a color range to be corrected, and 713 is a determination of the color range determination unit 712 A selector that selects an output according to the result, 714 is a color conversion unit that converts the signal system of the scanner 6 into the signal system of the printer 8, 715 is an input intensity correction unit that corrects the intensity of the input signal, and 716 is the intensity of the output signal. This is an output intensity correction unit for correction.

Next, the operation of the conventional color correction device will be described. First, in a color state in which there is no request for color correction from the user, the color correction device 7 is in a color correction state set by initial parameters for color correction. The data input unit 73 obtains an initial parameter for color correction from the degree of color correction obtained in advance and stores it in the initial parameter memory unit 72.
The initial parameter memory unit 72 sets the degree of color correction derived from the initial parameters in the color correction unit 71.
The initial parameter memory unit 72 sets the color correction table H (L, H, S) in the color correction table memory unit 711 (where L, H, and S represent each lightness, hue, and saturation), and the color The color range Si to be color-corrected in the range determination unit 712
, And various conversion matrices Mi and functions fi for converting the signals of the scanner 6 into the signals of the printer 8 are set in the color conversion unit 714.

When an image is input from the scanner 6 in this state, the input signal is transferred to the color correction table memory unit 711, the color range determination unit 712 and the selector 71 inside the color correction unit 71.
3, the color correction table memory unit decodes the input signal into an address using the coordinate-converted (L, H, S) values, and reads the address into the internal color correction table memory unit. A signal obtained by color-correcting the data is supplied to the selector 713.

On the other hand, the color determining section 712 determines whether or not the input signal is in the color range Si to be corrected, outputs the result to the selector 713, and the selector 713 outputs the color-corrected signal according to the result. Alternatively, the input signal is converted into the color conversion unit 71.
Output to 4. The color conversion unit 714 converts the input signal or the corrected signal into a density signal of the printer 8 using the matrix Mi and the function fi and outputs the density signal to the printer 8.
The above operation is performed on the previous input signal to form an image.

Next, the case where the user's color correction request is input from the operation unit 76 will be described. At this time, the fuzzy inference unit 75 analyzes and infers the color correction request to obtain the color correction parameter, the color correction table H (L, H, S), the color range Si to be color-corrected, the conversion matrix Mi, and the function fi. It is stored in the correction parameter memory unit 74. The correction parameter memory unit 74 includes a color correction table H (L, H, S) and a color range S to be color-corrected from the color correction parameters.
i, the conversion matrix Mi, and the function fi are derived and set in each color correction table memory unit 711, color range determination unit 712, and color conversion unit 714. Similarly, the input signal is processed to obtain an image.

Conventional example 2. 27 to 29 are diagrams showing dialog boxes shown in, for example, a user guide of Adobe Photoshop (PHOTOSHOP is a registered trademark of Adobe).

FIG. 27 shows a dialog box for adjusting the threshold level when displaying a grayscale image in black and white. By moving the mouse pointer to the left or right with the cursor, it is possible to set the white-black boundary of the image displayed in gray scale as the threshold level.

FIG. 28 shows a dialog box for changing brightness and contrast. Brightness and contrast can be changed by moving the mouse pointer left and right.

Next, FIG. 29 shows a dialog box for adjusting brightness and contrast. In the dialog box shown in FIG. 29, red, green, and blue can be separately designated and adjusted, and red, green, and blue can be simultaneously adjusted as a master mode. The minimum brightness of the image can be adjusted by moving the mouse pointer showing the shadow. The maximum brightness can be adjusted by moving the highlight mouse pointer. Further, by moving the mouse pointer indicating γ, the brightness of the intermediate color can be changed without changing the maximum brightness and the minimum brightness.

Histograms are shown in the dialog boxes shown in FIGS. 27 and 29. In the histogram, the horizontal axis represents the brightness value and the vertical axis represents the number of pixels. These histograms are displayed in black and white.
In this way, Photoshop adjusts the original image using the dialog box, but the image display by this Photoshop directly adjusts the original image. That is,
When the color adjustment is designated for the original image using the dialog box, the original image is adjusted based on the adjustment instruction. Therefore, only the adjusted image is displayed, and the original image and the adjusted image cannot be compared.

Conventional example 3. Fig. 30 shows the P.1 of the Japan Hardcopy '89 Proceedings. 249-252, "Selective Color Adjustment of Color Image by Complementing Lattice Points in Color Space"
It is a figure which shows the procedure of the color adjustment shown by (NIP-30, Kanamori, Kawakami, Kodera). In the procedure shown in this figure, first, the density space 81 is converted into an RGB color space. next,
L * a * from RGB color space via XYZ color space
Convert to b * space. The adjustment amount is designated using this L * a * b * space. Then, the adjusted value is returned to the RGB color space again via the XYZ color space, and again to the density space. When performing conventional color adjustment in this way, in order to perform color adjustment that matches the amount of color adjustment to human recognition, the color space for specifying the color adjustment is the color space in which the image data is configured. There are things to change. In such a case, the color space of the image data is once converted into the color space used to specify the adjustment amount, and the converted data is converted back to the color space in which the image data is used. I was there. Since the conversion and the inverse conversion are performed for each pixel in this way, there is a problem that the processing speed of color adjustment becomes slow.

[0014]

Since the color correction unit of the color image apparatus shown in the first conventional example is configured as described above, when it is desired to correct or adjust the color, for example, "a considerably dark portion is slightly brightened. It was necessary to give an instruction such as "from the operation unit, and to replace the instruction with an accurate word. Furthermore, it is difficult to make sufficient adjustments because the types of words are limited. Further, in order to adjust a plurality of colors, it is necessary to give a plurality of instructions as described above. In this respect, the color correction unit of the conventional color image device has a problem in the method of instructing adjustment.

Further, since there is no function for displaying how the color changes when the color is adjusted, and the user adjusts the color by looking at the final output image, the ambiguity depends on the subjectivity of the user. There were many problems, and there were many disadvantages in terms of time and cost.

Further, the color image adjusting software shown in the conventional example 2 displays a histogram for adjusting the image, and the threshold level, the contrast and the like can be changed by the mouse. It was necessary to perform each in a different dialog box, and it was not possible to easily know what kind of adjustment was made as a whole. Furthermore, since all the information in the dialog box is displayed in black and white, it was necessary to make adjustments while sensuously imagining what changes would be made. Further, since the images before and after the adjustment and the information about the colors before and after the adjustment are not displayed, there is a problem that it is not possible to compare what kind of change has been made before and after the adjustment.

Further, in the color adjustment procedure shown in the conventional example 3, when the color space representing the image data and the color space specifying the adjustment amount are different, the adjustment amount is specified for each pixel data from the color space of the image data. Since a procedure of converting to a color space, performing adjustment using a color space that specifies the adjustment amount, and then performing inverse conversion to a color space that represents image data again,
There is a problem that the amount of calculation becomes huge and the processing speed is significantly delayed.

The present invention has been made in order to solve the above-mentioned problems, and a color adjustment instruction is set so as to correspond to the displayed color information, and the color is excellent in operability. It is an object to obtain an adjustable color image device, and further to provide a color adjusting method for this device. Another object of the present invention is to provide a color image device in which the image data after the adjustment is directly obtained from the image data even when the color space representing the image data and the color space for specifying the adjustment amount are different. It is an object of the present invention to provide a color adjustment method of.

[0019]

A color image device according to the first invention has the following elements. (A) Image display means for displaying the original image and adjusted image, (b) Color information display means for analyzing the color information of the original image and displaying the analyzed color information, (c) Display by the color information display means Adjustment instructing means for instructing color adjustment with respect to the obtained color information,
(D) Adjustment means for generating an adjustment image based on the instruction of the adjustment instruction means and displaying the adjusted image by the image display means.

The color image apparatus according to the second invention is characterized in that the color information display means further analyzes the color information of the adjusted image and displays the analyzed color information.

In the color image apparatus according to the third aspect of the present invention, the adjusting means generates the color adjustment matrix based on the color adjustment amount instructed by the adjustment instruction means, and the adjustment image is used to generate the adjustment image from the original image. It is characterized in that it comprises an adjusted image generating means for generating.

A color image device according to a fourth aspect of the present invention is characterized by comprising a storage unit for storing the color adjustment matrix generated by the matrix generation unit.

In the color image device according to the fifth aspect of the invention, the color information display means analyzes the original image for each attribute of color such as brightness, saturation and hue, and displays the distribution of each attribute as color information. It is characterized by that.

A color image device according to a sixth aspect of the present invention is characterized in that a plurality of attribute distributions are mixed so that saturation and hue are mixed and displayed as color information.

The color image device according to the seventh aspect of the invention is provided with a pointer for designating an adjustment amount for the color information displayed by the adjustment instructing means to mix a plurality of attribute distributions such as a mixture of saturation and hue. In the case of the above color information, the attribute to be adjusted is selected according to the moving direction of the pointer, and the adjustment amount of the selected attribute is instructed according to the moving amount of the pointer.

The color image apparatus according to the eighth invention is characterized in that the color information displayed by the color information display means is displayed with an attribute corresponding to the color information.

In the color image device according to the ninth aspect of the present invention, the color information display means simultaneously displays color information relating to a plurality of attributes such as luminance, saturation and hue on one screen, and the color adjustment instruction means has a plurality of these color information. Is performed, and the matrix generation means generates one color adjustment matrix in response to the adjustment instructions relating to the plurality of attributes.

A color image device according to the tenth invention has the following elements. (A) Color information display means for inputting an original image, analyzing color information of the original image, and displaying the analyzed color information; (b) Color adjustment for the color information displayed by the color information displaying means. Adjustment instruction means for instructing
(C) Matrix generating means for generating a color adjustment matrix based on the instruction of the adjustment instruction means, and (d) output means for outputting the color adjustment matrix generated by the matrix generating means.

In the color image device according to the eleventh invention, the original image is represented by coordinate data based on the first color space, and the color information display means uses the coordinate data based on the second color space to display the original image. While the color information is obtained and displayed, the color adjustment instructing means specifies the color adjustment amount by the coordinate data based on the second color space, and the matrix generating means is adjusted by the coordinate data based on the second color space. A color adjustment matrix including instructions is generated, and an adjusted image after adjustment is generated by calculation of the generated color adjustment matrix and coordinate data based on the first space representing the original image. Is what you can do.

The color image device according to the twelfth aspect of the invention inputs the color adjustment matrix from the peripheral device which operates using the color adjustment matrix, and the matrix generation means uses the input color adjustment matrix and is based on the instruction of the adjustment instruction means. It is characterized in that a new color adjustment matrix is generated and the peripheral device operates using this color adjustment matrix.

The color image device according to the thirteenth invention can use the color space standardized by JIS or the like as the type of the second color space for performing the adjustment instruction, and the matrix generating means can use the second color space. The color adjustment matrix is generated by using different methods depending on the type of color space.

A color image device according to the fourteenth invention is
The matrix generation means first generates a color adjustment matrix by using the adjustment amount related to the saturation and then generates a color adjustment matrix using the adjustment amount related to the hue in response to the designation of the adjustment amount related to the lightness, the saturation, and the hue. Finally, the color adjustment matrix is generated by using the adjustment amount related to the lightness.

The color image adjusting method according to the fifteenth invention has the following steps. (A) an image display step of displaying an original image, (b) an original image color information displaying step of analyzing color information of the original image and displaying the analyzed color information, (c) an original image color information display An adjustment instruction step of instructing a color adjustment amount for the color information displayed by the step,
(D) An adjustment image display step of generating an adjustment image based on the instruction of the adjustment instruction step and displaying the image.

The sixteenth color image adjusting method is characterized by further comprising an adjusting image color information displaying step of analyzing the color information of the adjusting image and displaying the analyzed color information.

The color image adjusting method according to the seventeenth invention comprises the following steps. (A) A color information display step of converting coordinate data based on the first color space representing the original image into coordinate data based on a second color space to obtain color information, and (b) the color information display step. An adjustment instruction step of instructing color adjustment using the coordinate data based on the second color space for the color information displayed by (c) a color for adjusting the original image based on the instruction of the adjustment instruction step. A matrix generation step of generating an adjustment matrix, (d)
An adjusted image generating step of generating an adjusted image using the color adjustment matrix generated in the matrix generating step.

In the color image adjusting method according to the eighteenth invention, the adjusted image generating step executes a matrix operation of the coordinate data and the color adjusting matrix based on the first color space representing the original image to adjust the original image to the adjusted image. It is characterized by direct conversion to.

A color image device according to the nineteenth invention is a color image device for adjusting a color of an electrically expressed color image, and an image display means capable of displaying an original image and an adjusted image at the same time, and an original image and A color information display unit for displaying color information of an adjusted image, an adjustment instruction unit provided together with the color information display unit for instructing a color adjustment amount corresponding to the color information, and a matrix for setting a color adjustment matrix based on the adjustment instruction. And a setting means.

In the color image device according to the twentieth aspect of the invention, the color information display means displays at least one distribution of the color component distribution, the luminance distribution, the hue distribution, the saturation distribution, and the hue-saturation simultaneous display distribution of the image data. It is characterized by doing.

The color image device according to the twenty-first aspect of the invention is characterized in that the color information display means colors the color suitable for each value of the color information and displays the frequency.

In the color image device according to the twenty-second aspect of the invention, the adjustment instruction means moves the pointer provided corresponding to the color information displayed by the color information display means by the pointer designating means, and the movement direction is the adjustment item. It is characterized in that it represents a type and the amount of movement thereof represents an adjustment amount.

In the color image device according to the twenty-third aspect, the matrix setting means sets the color adjustment matrix to the luminance, hue,
It is characterized in that it can be changed according to each adjustment amount of saturation.

In the color image device according to the twenty-fourth invention, the color space used for the color information display means is the color space of the image signal itself, or CIERGB, CIEXYZ, CIE.
It is characterized by being either LAB or CIE LUV.

In the color image device according to the twenty-fifth invention, the matrix setting means sets the coordinates of the image signal itself, CIER.
The method of setting the color adjustment matrix is different between GB and CIEXYZ and CIELAB and CIEUV.

[0044]

In the present invention, the original image, the adjusted image, and the color information of the original image are displayed, and the color is adjusted with respect to the color information of the original image. Display images across.

Further, in the present invention, since the color information of the adjusted image is displayed, the color information after adjustment can be compared with the color information before adjustment.

Further, in the present invention, the adjusted image is generated by the matrix calculation by creating the color adjustment matrix.

Further, in the present invention, the generated color adjustment matrix can be stored and reused.

In the present invention, the lightness, the hue,
Color information is displayed for each attribute of color such as saturation.

Further, in the present invention, for example, color information is displayed by mixing hue and saturation.

Further, in the present invention, the adjustment amount is designated by the pointer operation.

Further, in the present invention, when displaying color information, attributes such as lightness, hue and saturation are added and displayed.

Further, in the present invention, lightness, hue,
Even when adjustment is instructed for each color information such as saturation, one color adjustment matrix is generated and an adjusted image is generated from the original image.

Further, in the present invention, a color adjustment matrix is generated in order to adjust the color.

Further, in the present invention, the color adjustment can be easily performed by using this color adjustment matrix.

Further, in the present invention, when the original image is represented in the first color space where color adjustment is difficult, the color information display means converts the color into the second color space where color adjustment is easy. Since information is displayed, it is easy to give instructions for adjustment. Also,
The color adjustment matrix generates an adjusted image based on the first color space without performing conversion to the second color space by performing matrix calculation on the original image based on the first color space.

Further, in the present invention, the color adjustment matrix is input from the peripheral device such as the printer or the display device to generate a new color adjustment matrix, and the new color adjustment matrix is output again to the peripheral device. Therefore, it is possible to easily change the image handled by the peripheral device based on the color image device of the present invention.

Further, in the present invention, there are a plurality of types of the second color space, the color adjustment matrix is generated by a different method based on the type of the second color space, and there are a plurality of types of color spaces. In this case, the color adjustment can be performed by generating the color adjustment matrix.

In the present invention, the lightness, the saturation,
The color adjustment information is specified using the color information called hue, and the color adjustment matrix is generated by performing color adjustment in the order of saturation, hue, and lightness.

Further, the present invention provides a color image adjusting method for displaying an adjusted image by displaying the original image and the color information of the original image and instructing the adjustment amount for the color information of the original image.

Further, in the present invention, the color information of the adjusted image is displayed.

Further, in the present invention, the color information is displayed based on the second color space in which the color adjustment instruction is easy to be made, the adjustment amount is indicated, and the color adjustment matrix is generated to generate the adjustment image. .

Further, in the present invention, the adjusted image is generated based on the data based on the first color space representing the original image and the matrix operation of the color adjustment matrix. Therefore, when the adjusted image is generated from the original image, it is not necessary to perform conversion to the second color space at all.

According to the present invention, since the color information is displayed using the graph and the corresponding color, the user can easily adjust the color. Further, since the original image and the adjusted image and the color information of the original image and the color information of the adjusted image are displayed at the same time, it is possible to perform adjustment while comparing the two. Further, in the present invention, by using the color adjustment matrix, even when the color space for performing the adjustment instruction is different,
The image can be adjusted without converting the color space of the image data into the color space instructing the adjustment.

Further, in the present invention, the color information display means displays the distribution of color information based on one type of attribute or the distribution based on a plurality of types of attributes.

Further, in the present invention, the distribution is colored and displayed.

Further, in the present invention, the color adjustment is performed by moving the mouse pointer provided corresponding to the color information.

Further, in the present invention, as the color adjustment matrix, one matrix is set according to each of the color attributes.

Further, in the present invention, there are a plurality of color spaces used for color information, and the color information display means displays the color information based on any kind of color space.

Further, in the present invention, the setting method of the color adjustment matrix differs depending on the color space of the image signal.

[0070]

【Example】

Example 1. An embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a diagram showing the configuration of the color image device of this embodiment. In FIG. 1, 1 is a color image input section, 2 is a color adjustment section, 3 is a color image output section, 4 is an interface section with an external device, and 5 is an image display section having both an image display and an interface with a person. .

A color image (hereinafter also referred to as an original image) from an external storage device such as a hard disk or an image input device such as a scanner is input from the external device interface unit 4. The color image is converted into appropriate data in the color image input unit 1 and sent to the color adjustment unit 2. The color adjustment unit 2 adjusts the color while receiving an instruction from the image display unit 5, and creates an adjusted color image (hereinafter also referred to as an adjustment image) and a color adjustment matrix (hereinafter also referred to as a setting matrix). The adjusted color image is converted into data suitable for an external device by the color image output unit 3 and sent to the external device interface unit 4. The color adjustment matrix is also sent to the external interface unit 4.

FIG. 22 is a diagram showing a workstation 600 as an example of a color image device. In the figure,
Reference numeral 5 is a display device serving as an image display unit for displaying information, 61 is a keyboard for inputting characters and numerical values, 63 is a mouse for designating an arbitrary position on the display device, 62 is a mouse pad, and 64 is a workstation body. It is a device. Reference numeral 613 is TCP / IP serving as an interface with the local area network. 62
0 is a SCSI, 621 is an RS232C port, and 622 is a parallel port.

Next, FIG. 23 is an internal block of the workstation shown in FIG. In the figure, 609
Is an operating system that controls the entire workstation, 610 is a window system that operates on the operating system, 611 is a graphic user interface (GUI) that operates on the window system, and 612 is a graphic user interface unit that operates by a user. Is a desktop that provides a desktop environment for the.

FIG. 2 is a diagram showing the details of the image display unit 5. Reference numeral 50 is an image color information display portion, 51 is an original image, and 52 is an adjusted image. 5000 is a brightness information graph of the original image,
Reference numeral 5001 is a luminance information graph of the adjusted image, 5010 is a saturation information graph of the original image, 5011 is a saturation information graph of the adjusted image, 5020 is a hue information graph of the original image, and 5021 is a hue information graph of the adjusted image. 503 (503a,
503b, 503c, 503d. 503a and 503 below
503 is used when b, 503c, and 503d are not distinguished. ) Is a mouse pointer for notifying the color adjusting unit 2 of the adjustment information, and 504 is an end switch for notifying the color adjusting unit 2 of the end information.

Next, the operation of the image display section 5 will be described with reference to FIG. The operation starts from the "beginning" of S530. Next, the original image 51 is displayed in S531, and further, S
In 532, the color information of the original image (5000, 5010, 502)
0) is displayed. In S533, the mouse pointer 503
To determine if has moved. When the mouse pointer 503 operates, the adjustment information obtained from the amount of movement of the mouse pointer 503 is transmitted to the color adjusting unit 2 in S534, and the information regarding the adjusted image 52 is received from the color adjusting unit 2. Next, the adjusted image 52 is displayed in S535, and the color information (5001, 5011, 50) related to the adjusted image 52 is displayed in S536.
21) is displayed. When these processes are completed, S533
Return to. If the mouse pointer 503 is stationary at S533, the state of the end switch 504 is checked at S537. In the case of ending, it is the "end" of S538. If it is to continue, the process returns to S533.

Next, detailed display of the color information display section 50 and operation of the mouse pointer 503 will be described with reference to FIG. (A) shows a luminance information graph 5000.
The graph is divided into three blocks, each of which is displayed in colors from black to the brightest primary colors (red, green, blue). When the brightness information of each pixel forming the original image is held in 1 byte (8 bits), the brightness intensity has a value of 0 to 255 and is distributed based on this value. A graph of the brightness distribution of each color component of the original image 51 is displayed with a color according to the brightness intensity. This display is the same for the brightness information graph 5001 of the adjusted image 52. Mouse pointer 5
Two blocks 03a and 503b are installed in each block, six in total. In either case, the mouse pointer 503 can be moved left and right individually or in conjunction with each other so that both positive and negative values can be obtained. The mouse pointer 503a adjusts the "base" that sets the minimum value of brightness. The mouse pointer 503b adjusts "brightness" which sets the maximum value of brightness.

(B) shows a saturation information graph 5010. The graph is divided into three blocks,
Display in colors from white to the most saturated primary colors (red, green, blue). When the saturation information of each pixel forming the original image is held in 1 byte (8 bits), the saturation information has a value of 0 to 255 and is distributed based on this value. A graph of the saturation distribution of each color component of the original image 51 is displayed with a color according to the saturation intensity. This display is the same for the saturation information graph 5011 of the adjusted image 52. One mouse pointer 503c is installed in each block, and a total of three mouse pointers 503c are installed. In either case, the mouse pointer 503c can be moved left and right individually or in conjunction with each other so that both positive and negative values can be obtained.

(C) shows a hue information graph 5020. The graph shows colors according to hue, that is, magenta,
It is displayed in the highest saturated colors, such as red, yellow, green, cyan, blue, and magenta again. Specifically, values from 0 degree to 360 degrees (0 to 2π) are assigned to colors corresponding to hues, and values having the same angle are distributed. And the original image 51
The bar graph of the hue distribution of each color component is displayed with a color according to the hue. This display is the same for the hue information graph 5021 of the adjusted image 52. Three mouse pointers 503d are installed. In either case, the mouse pointer 503d can be moved individually or in conjunction with each other so that both positive and negative values can be obtained.

Next, the point of displaying the histogram with colors according to the signal intensity, such as the luminance information graph 5000, the saturation information graph 5010, and the hue information graph 5020, will be described. FIG. 5 is a diagram showing a luminance information graph 5000 of the original image and a luminance information graph 5001 of the adjusted image. By moving the mouse pointer 503a indicating the base in the direction of arrow A and the mouse pointer 503b indicating the brightness in the direction of arrow B, the luminance information can be adjusted. The brightness information of the original image is adjusted within the range of the base and the brightness by designating the mouse pointers 503a and 503b. Therefore, the adjusted image 52 in which the distribution of the brightness information is within the range of the specified base and brightness is displayed. Further, as the luminance information graph 5001 of the adjusted image 52, a luminance information graph within the range of the base and the brightness is generated as shown in FIG. 5B.

Next, FIG. 6 shows the saturation information graph 50 of the original image.
10 is a diagram showing a saturation information graph 5011 of 10 and an adjusted image. FIG. Saturation can be adjusted by moving the mouse pointer 503c in the direction of arrow A shown in FIG. In this designation, adjustment is performed to bring the saturation closer to red, and the adjusted image 52 in which red becomes more vivid is displayed. In addition, the distribution of the saturation information graph 5011 of the adjusted image 52 becomes close to red as shown in FIG. 6B.

Next, as shown in FIG. 7, the hue information graph 5
At 020, it is assumed that there is an original image 51 having a peak P near green. This graph 5020 is, for example, as shown in FIG.
The center of the distribution is displayed in a greenish color, the left hem is in a yellowish green color, and the right hem is in a bluish green color. These colors are continuously changing. Now, when it is desired to match the peak P with the true green, the central mouse pointer 503d is moved in the direction of arrow A shown in FIG. By doing so, the peak P of the distribution can be displayed in true green. Further, the adjusted image 52 is also an image of the distribution displayed by the hue information. In addition, the hue information graph 5021 of the adjusted image 52
Also changes, and a hue information graph 5021 in which the peak of the distribution turns to true green is generated.

Next, the principle of color adjustment of the color adjusting section 2 will be described with reference to FIG. FIG. 8A is a diagram showing the relationship between the original pixels forming the original image and the adjustment pixels forming the adjusted image. Now, it is assumed that the original pixel is represented by the RGB space. The adjustment pixel is also expressed in the RGB space in the same manner. On the other hand, the color information displayed on the image display unit 5 is luminance,
Attributes such as saturation and hue are used. As described above, the color information is expressed using a space different from the color space used by the original pixel and the adjustment pixel. Figure 8
The setting matrix (also referred to as a color adjustment matrix) shown in (a) is a setting matrix including adjustment instructions based on brightness, saturation, and hue. The color adjusting unit 2 creates this setting matrix. The adjusted pixel can be obtained by performing a matrix operation on the created setting matrix and the original pixel. The matrix that is the basis of the setting matrix is called the original matrix. As shown in FIG. 8B, the original matrix is a diagonal matrix in which only diagonal elements of the matrix exist. When the data of the original pixel is calculated for this original matrix,
As shown in FIG. 8B, the adjustment pixel is exactly the same as the original pixel. The color adjustment unit 2 creates a setting matrix by adding an instruction to adjust the brightness, saturation, and hue instructed by the image display unit to the original matrix. After the setting matrix is created, the adjustment pixel can be generated by calculation of the original pixel and the setting matrix. That is, even if there is a parameter input from the image display unit 5 based on different color spaces such as brightness, saturation, and hue, once the setting matrix is created, the setting matrix is used for the original pixels in the RGB space. The adjustment pixel can be directly obtained by performing the calculation. The original pixel data in the RGB space is converted once into the data in the color space of luminance, saturation, and hue as in the past, and the converted data is adjusted in luminance, saturation, and hue, and the adjusted luminance is adjusted. , The saturation and hue data need not be returned to the RGB space again. In this way, in this embodiment, by creating the setting matrix, even if the parameters are specified based on different color spaces, new adjustment pixels are generated by simply performing matrix calculation while using the own color space. It has a big feature. Even if the color space of the original pixel and the color space for inputting the parameters are the same, it is possible to generate the adjustment image by creating the setting matrix. A case of inputting parameters using a color space different from that will be described.

There are two methods for generating the setting matrix: (I) a method in which the coordinate system before conversion is represented by the coordinate system after conversion, and (II) a method in which the coordinate system after conversion is represented by the coordinate system before conversion. Conceivable. The setting matrix represents the relationship between the coordinates before conversion and the coordinates after conversion. The method based on the coordinates before conversion and the method based on the coordinates after conversion have a front-back relationship and can represent the same relationship. Hereinafter, (I) about generation of a setting matrix of a method in which the coordinate system before conversion is represented by the coordinate system after conversion is described with reference to FIGS.
Will be explained. (II) A method of expressing the coordinate system after conversion by the coordinate system before conversion will be described later with reference to FIGS. 11 to 13.

Next, the operation of the color adjusting section 2 will be described with reference to FIG. Since the color adjustment unit 2 is mainly responsible for internal processing, it will be described using a flowchart. Color adjustment unit 2
Starts from the "start" of S20.

Next, the process proceeds to the original matrix creation in S22.
For example, the following matrix is created in the original matrix.

[0086]

[Equation 1]

For the following description, the original matrix will be written as follows.

[0088]

[Equation 2]

In S24, the instruction from the image display section 5 is monitored. Until there is an instruction, S24 is in a loop state and no processing is performed. When there is an instruction from the image display unit 5, the process branches to the following four processes. (1) When the luminance mouse pointers 503a and 503b move (2) When the saturation mouse pointer 503c moves (3) When the hue mouse pointer 503d moves (4) When the end switch 504 is pressed Each of these processes will be described below. In order to make the description easier to understand, a case where only one of the above (1), (2), and (3) is executed to move the mouse pointer will be described. That is, the adjustment of brightness, saturation, and hue is not instructed at the same time, but is instructed separately.

(1) Luminance mouse pointers 503a, 5
When 03b moves-S25 As shown in FIG. 4, there are a total of six mouse pointers 503a and 503b under the luminance information graph 5000.
The mouse pointers 503a and 503b correspond to the maximum brightness and the minimum brightness of each color signal component. That is, when the color signal can be represented by three components of RGB, the maximum luminance Rmax of the R component, the minimum luminance Rmin of the R component, the maximum luminance Gmax of the G component, the minimum luminance Gmin of the G component, the maximum luminance Bmax of the B component, Bmax. It is six of the minimum brightness Bmin of the component. When these mouse pointers 503 move,
Information on the maximum brightness and the minimum brightness is sent to the color adjusting unit 2. The color adjustment unit 2 sets a matrix based on these pieces of information. Set the maximum adjustment signal (ARmax, AG
max, ABmax), minimum signal (ARmin, AG
min, ABmin),

[0091]

[Equation 3]

The matrices K and J satisfying the above are obtained.
The setting matrix N is obtained from this matrix K. N = K · M Here, the matrix N is a setting matrix generated by a method in which (I) the coordinate system before conversion is represented by the coordinate system after conversion. Further, the matrix J is (I) as a constant generated by a method of expressing the coordinate system before conversion by the coordinate system after conversion,
It is stored inside together with the setting matrix N.

Next, a specific example will be described. The R component of the input color signal has the maximum luminance Rmin = 30, the minimum luminance Rmax = 200, and the G component has the maximum luminance Gmin = 2.
0, minimum brightness Gmax = 210, B component has maximum brightness Bm
It is assumed that in = 10 and minimum brightness Bmax = 220. Adjust this color signal to adjust the R component,
Maximum brightness = 255 and minimum brightness = 255 for both G and B components
Set to 0. This adjustment is made with three mouse pointers 503a.
To the left edge, and move the three mouse pointers 503b
Is moved to the right end. Thus

[0094]

[Equation 4]

And

[0096]

[Equation 5]

Then, since the matrix M is a unit matrix, Equation 3 is rewritten,

[0098]

[Equation 6]

It becomes Solving this equation, Kr = 1.5,
Kg = 1.342, Kb = 1.214, Jr = -45.
Jg = -26.842, Jb = -12.143.
That is, the setting matrix N is

[0100]

[Equation 7]

Therefore, the matrix J is

[0102]

[Equation 8]

It becomes This is because R component, G component, and B component are Rmin, Gmin, and Bmin to Rmax, respectively.
It is shown that the color signal between Gmax and Bmax is converted into 0 to 255 for each component. For example,

[0104]

[Equation 9]

Then,

[0106]

[Equation 10]

Is converted to

[0108]

[Equation 11]

Then,

[0110]

[Equation 12]

Is converted to 0 and does not fall within 0 to 255.

Thus, if the setting matrix N and the matrix J are obtained, the obtained setting matrix N
The input color signal is converted by using the matrix J and the matrix J. All R components of the color signal are Rmin ≦ R ≦ Rma
x, all G components of the color signal are Gmin ≦ G ≦ Gma
x, all B components of the color signal are Bmin ≦ B ≦ Bma
Since it is x, it can be converted into any of the values of 0 to 255. In this way, the brightness is adjusted by moving the mouse pointer 503 to create an adjusted image.

(2) When the Saturation Mouse Pointer 503c Moves-S26 As shown in FIG. 4, there are a total of three mouse pointers below the saturation information graph 5010. This mouse pointer corresponds to the amount of change in saturation of each color signal component. That is, when the color signal can be represented by three components of RGB, the saturation change amount ΔCR of the R component and the saturation change amount ΔCG of the G component, B
There are three component color saturation changes ΔCB. When these mouse pointers 503c move, the information about the amount of change in saturation is sent to the color adjusting unit 2. The color adjustment unit 2 sets a matrix based on these pieces of information. Setting matrix is N,

[0114]

[Equation 13]

Is calculated.

Next, a specific example will be described. Here, a case where red is desired to be bright will be described. The saturation change amount obtained by moving the mouse pointer 503c is ΔCR = −0.037, ΔCG = −0.03.
7, ΔCB = −0.037, the setting matrix N
Is

[0117]

[Equation 14]

It becomes: Now, (R, G, B) = (255,
255, 255), (AR, AG, AB) = (25
5,255,255), and the normalized setting matrix is N ′,

[0119]

[Equation 15]

It becomes: That is,

[0121]

[Equation 16]

From the above, it can be seen that it is normalized. Here, (R, G, B) = (200, 10, 1
Substituting the value of 0) and calculating,

[0123]

[Equation 17]

[0124] Looking at this numerical value, there is a change in the order of R → AR 200 → 215.5 G → AG 10 → 2.2 B → AB 10 → 2.2. Since the R component increases and the G and B components decrease, a purer red color can be obtained.

(3) When Hue Mouse Pointer 503d Moves-S27 As shown in FIG. 4, there are a total of three mouse pointers 503 below the saturation information graph 5020. The mouse pointer 503 corresponds to the hue change amount of each color signal component. That is, when the color signal can be represented by three components of RGB, there are three components, the hue change amount ΔHR of the R component, the hue change amount ΔHG of the G component, and the hue change amount ΔHB of the B component. When these mouse pointers 503 move, information on the hue change amount is sent to the color adjusting unit 2. The color adjustment unit 2 sets a matrix based on these pieces of information. When the setting matrix is N and the hue change amount is negative,

[0126]

[Equation 18]

If the hue change amount is positive,

[0128]

[Formula 19]

[0129]

Next, a specific example will be described. R → B →
A case where it is desired to rotate a color in the G direction will be described. The hue change amount obtained by moving the mouse pointer 503d is ΔHR = −0.038, ΔHG = −
Assuming that 0.038 and ΔHB = −0.038, the setting matrix N is

[0131]

[Equation 20]

It becomes: (R, G, B) = (255,25
5,255), (AR, AG, AB) = (255,
255, 255) and the normalized setting matrix is N ′,

[0133]

[Equation 21]

It becomes: Here, (R, G, B) = (20
0,10,10),

[0135]

[Equation 22]

[0136] Here, considering the GB plane,
From (G, B) = (10,10) to (G, B) = (10,
-2), the color signal changes as shown in FIG. Therefore, the color is more greenish.
Here, AR = 208, which is ignored in this method. As can be seen from the above specific example, it is easy to calculate by giving a numerical value and interpret the calculated result, but it is difficult to handle the numerical value itself during the operation. Therefore, a major feature of this system is that a man-machine interface as shown in this embodiment is provided so that the colors can be changed without handling numerical values. Specifically, the setting matrix can be created by a simple operation of moving the mouse pointer, and the color can be adjusted freely by calculating the created setting matrix and the color signal.

When the processing of (1), (2) or (3) above is completed, the process proceeds to the preparation of the adjusted image in S28. This is a process of creating the adjusted image 52 from the original image 51 displayed on the image display unit 5. Then, the process proceeds to S29 for sending to the image display unit 5, and the created adjusted image is sent to the image display unit 5 for display. After that, the process enters a loop state of waiting for an instruction from the image display unit 5 in S24. This allows the color adjustment to be performed any number of times.

(4) When the end switch 504 is pressed When the end switch 504 is pressed, the operation of the color adjusting section 2 is "end" of S30.

In the flow chart shown in FIG. 9, the case where any one of the mouse pointers of the luminance, the saturation and the hue is moved and the matrix setting is performed corresponding to the mouse pointer has been described for the sake of simplicity. .

Next, the case where the luminance, the saturation and the hue are simultaneously adjusted will be described with reference to FIGS. 10 and 24. Figure 1
0 is a flowchart showing a process of monitoring the instruction from the image display unit 5 shown in S240 shown in FIG. The flowchart of FIG. 10 sets the minimum luminance, the maximum luminance, the saturation change amount, and the hue change amount as color adjustment parameters. First, start from S241 and then S2
At 42, it is determined whether or not the mouse pointer 503a for adjusting the base has moved. If the mouse pointer 503a has moved, it is determined in S243 whether or not to perform the interlocking process. The interlocking process is a process of moving any one of the three mouse pointers 503a and moving the other two remaining mouse pointers 503a in the same direction by the same distance. Whether to perform the interlocking process or individually move is specified in advance. In S243, it is determined whether the interlocking process or the individual process is performed with reference to the specification. If it is determined in S243 that the interlocking process is being performed, the remaining two mouse pointers 503a are moved in S244.

Next, in S245, the direction and distance of the moved mouse pointer is determined, and a new base is set. In the process of S245, the instructed value is stored as the minimum brightness. No setting matrix is generated at this point. In the case of individual processing without interlocking processing, the base of each moved mouse pointer is set. On the other hand, when performing the interlocking process, the same base is set for the three mouse pointers.

Next, in S246, it is determined whether or not the movement of the mouse pointer 503b indicating the brightness has moved. If it has moved, it is determined in S247 whether to perform the interlocking process. When performing the interlocking process, the remaining two mouse pointers 503b are similarly moved in S248. In S249, the brightness indicating the maximum brightness is set from the direction and distance of the moved mouse pointer. This S
The process of 249 stores the instructed value as the maximum brightness. No setting matrix is generated at this point. In the case of the individual processing without the interlocking processing, the moving direction and the distance of each mouse pointer are determined, and the brightness of each is set. When performing the interlocking process, the same brightness is set for the three mouse pointers.

Next, in S250, it is determined whether or not the mouse pointer 503c for adjusting the saturation has moved. If it has moved, it is determined in S251 whether it is a linked process. In S252, the interlocking process is performed on the remaining mouse pointers. In S253, the saturation is set based on the moved mouse pointer. In the process of S253, the instructed value is stored as the saturation change amount. No setting matrix is generated at this point.

Next, in S254, it is determined whether or not the mouse pointer 503d for adjusting the hue has moved. If it has moved, it is determined in S255 whether it is interlocking processing, and if it is interlocking processing, the interlocking mouse pointer is moved in S256. In S257, the hue is set based on the moved mouse pointer. In the process of S257, the instructed value is stored as the hue change amount. No setting matrix is generated at this point.

Further, in S258, it is determined whether or not the end switch 504 has been pressed. If the end switch is not pressed, loop back to start. When the end switch 504 is pressed, the flowchart of FIG. 10 ends. This means that the process of S240 in FIG. 24 has been completed. At the time when the process of S240 ends, the minimum luminance, the maximum luminance, the amount of change in saturation, and the amount of change in hue have already been set as color adjustment parameters. In S259, a setting matrix is generated using these color adjustment parameters. S259 is S25 to S27 shown in FIG.
The setting matrix is generated by sequentially performing the processing of 1.

Next, the setting of the base described in S245 will be further described. Mouse pointer 5 as shown in FIG.
The case where 03a originally exists at 128 and moves in the direction of arrow A will be described. Here, the mouse pointer 503a is moved by -32 in the direction of arrow A (32 to the left.
I moved it). In this case the basis (minimum brightness)
= 128-32 = 96. S245 shown in FIG.
In the base setting of, the process of obtaining a new base as the base parameter Kn is performed in this way. Mouse pointer 5
By moving + 03b in the direction of arrow B by +32 (moving 32 to the right), the brightness (maximum brightness) = 128 + 32 =
It becomes 160. In the brightness setting of S249 shown in FIG. 10, the new brightness is set to the brightness parameter Ln in this way.
Is performed.

Next, the setting of the saturation shown in S253 will be described. By moving the mouse pointer 503c in the direction of arrow A in FIG. 6, the amount of change in saturation becomes +64 when moved by +64. In the saturation setting in S253, the saturation change amount is set as the saturation parameter Cn in this way.

Next, the hue setting in S257 will be described. As shown in FIG. 7, the mouse pointer 503 indicating the hue
When d is moved +10 degrees in the direction of arrow A, the hue change amount is +10 degrees. In the hue setting in S257, the hue change amount is thus set as the hue parameter Hn. The operation of the color adjusting unit 2 has been described above using (I) the setting matrix of the method in which the coordinate system before conversion is represented by the coordinate system after conversion.

Next, (II) using the setting matrix of the method in which the coordinate system after conversion is represented by the coordinate system before conversion, the color adjusting unit 2
The operation of will be described. FIG. 11 is a diagram showing a flowchart for generating a setting matrix of a system in which the coordinate system after conversion is represented by the coordinate system before conversion. The flowchart of FIG. 11 corresponds to the process of generating the setting matrix shown in S259 of FIG. Hereinafter, a procedure for generating a matrix in the order of S41 to S43 will be described. In order to obtain the color adjustment matrix, steps 1 to 5 described below are included. Here, a procedure for obtaining the color adjustment matrix on the assumption that the user has already set the color adjustment parameters based on the flowchart shown in FIG. 10 will be described. The color adjustment parameters set by the user are defined as follows. Base parameter Kn Lightness parameter Ln Saturation parameter Cn Hue parameter Hn Here, the subscript n corresponds to r, g, b in the case of primary colors or y, m, c in the case of complementary colors. The values "0.32" and "10" used in the matrix below are coefficients for conversion. Different values are set for these coefficients depending on the coordinate system before conversion and the coordinate system after conversion. Here, "0.3
A case where 2 "and" 10 "are used will be described. Step 1:
The following matrix is obtained from the saturation parameter. This calculation method does not depend on primary colors or complementary colors.

[0150]

[Equation 23]

Step 2: Modify the above matrix using the hue parameter.・ When the value of the hue parameter is positive

[0152]

[Equation 24]

Complementary color calculation

[0154]

[Equation 25]

When the value of the hue parameter is negative, the primary color calculation

[0156]

[Equation 26]

Complementary color calculation

[0158]

[Equation 27]

When the positive and negative values of the hue parameter are mixed, the matrix element position to be changed is changed according to the above two examples. For example, in the primary color calculation, if the value of the red hue parameter is positive, the value of the green hue parameter is negative, and the value of the blue hue parameter is positive, then Equation 24 is applied to the red hue parameter and Equation 26 for the hue parameter
Is applied and the equation 24 is applied to the blue hue parameter, so that

[0160]

[Equation 28]

Step 3: 3 × 3 obtained in the above step
Let the matrix be matrix A. Determinant of this matrix A | A |,

[0162]

[Equation 29]

The following is obtained. Here, the cofactor matrix is a matrix having the cofactor Aij of aij in the determinant | A | as a (j, i) component.

Step 4: A normalization factor (Wm and Bm: m is r, g, b) is obtained from the basis parameter Kn and the lightness parameter Ln. These normalization factors Wm and Bm
The value of is the maximum brightness value of 255 when this value is input.
And the minimum brightness value 0 are output. The lightness parameter is converted into Lm = 255-Ln, and in the case of primary color calculation Wm = Km, Bm = Lm. In the case of complementary color calculation Wm = 255-Lm, Bm = 255-Km

Step 5: Determinant | A |,

[0166]

[Equation 30]

The inverse matrix A ⁻¹ is obtained from the normalization factor Wm,
When Bm is input, 0,255 is output. The specific procedure of step 5 is shown below. here,
Let A be the matrix corresponding to Eq. Also, R,
G and B are the adjusted image data, and AR, AG, and AB are the adjusted image data. The procedure of this embodiment is such that the adjusted image data (R, AG, AB) is adjusted to the adjusted image data (R,
G, B) is calculated. Therefore, the formula is as follows.

[0168]

[Equation 31]

Here, the matrix P has not been decided yet. This equation is transformed into the following.

[0170]

[Equation 32]

Here, A ⁻¹ is the inverse matrix of the matrix A. | A | is the determinant of the matrix A obtained in step 3,

[0172]

[Expression 33]

Is a cofactor matrix whose cofactor Aij of aij in the determinant | A | is a (j, i) component, and is obtained in step 3.

[0174]

[Equation 34]

There is a relationship of In this way, the determinant | A | and the cofactor matrix found in step 3

[0176]

[Equation 35]

The inverse matrix A ⁻¹ can be obtained from Here, the reason for obtaining the inverse matrix will be described with reference to FIG. To make the story easier to understand, it will be explained in two dimensions. In FIG. 11B, e ₁ , e ₂ , e ₁ ′, and e ₂ ′ are unit vectors. now,

[0178]

[Equation 36]

Is the coordinate system before conversion,

[0180]

[Equation 37]

Is written. That is, P before conversion is a value of (m ₁ , m ₂ ). On the other hand, even in the coordinate system after conversion,

[0182]

[Equation 38]

Can be expressed as

[0184]

[Formula 39]

We will write That is, P after conversion is (m ₁ ', m ₂ '). This (m ₁ , m ₂ ) and (m
₁ ', m _2' is set matrix associates the value of).

[0186]

[Formula 40]

Similarly to the above, the converted unit vectors e ₁ ', e
₂ 'can also be written using the e _1, e _2,. That is, it can be expressed as e ₁ '= a ₁₁ e ₁ + a ₁₂ e ₂ (3) e ₂ ' = a ₂₁ e ₁ + a ₂₂ e ₂ (4). (1), (2), (3), (4) _{together, m 1 e 1 + m 2} e 2 = m 1 'e 1' + m 2 'e 2'
= M ₁ '(a ₁₁ e ₁ + a ₁₂ e ₂ ) + m ₂ ' (a ₂₁ e ₁ +
_{a 22 e 2) = (m} 1 'a 11 + m 2' a 21) e 1 +
_{(M 1 'a 12 + m} 2' a 22) e 2 Therefore, this _{m 1 = m 1 'a 11} + m 2' a 21 m 2 = m 1 'a 12 + m 2' a 22, written in matrix form If

[0188]

[Formula 41]

It becomes: This is the converted value (m ₁ ', m
₂ ') is an expression for converting the value (m ₁ , m ₂ ) before conversion. Therefore, in order to obtain the inverse relational expression, the inverse matrix is obtained. The matrix obtained in steps 1 to 4 described above corresponds to the matrix of (5). Therefore, in step 5, an inverse matrix is obtained and an equation for converting the value before conversion to the value after conversion is obtained. In the above (3) and (4), the unit vector after conversion is represented by the unit vector before conversion (that is, (II)
Represents the unit vector before conversion by the unit vector after conversion (that is, by the system of (I))
You can also The concepts of (I) and (II) are front and back, and the result of color conversion is the same regardless of which approach is used. The ideas from the standpoint of (I) are shown in Formulas 3 to 22, and the ideas from the standpoint of (II) are shown in Formulas 23 to 28. The difference between these ideas seems different depending on how the interface is created.

In step 5, P is obtained using the normalization factors Wm and Bm. According to the normalization factors Wm and Bm,

[0191]

[Equation 42]

Therefore,

[0193]

[Equation 43]

It becomes The matrix P is obtained from these two methods. At this time, since the matrix A is a matrix created directly from the parameters, it has not been normalized, and therefore the above equation 2 is also used for normalization. In this way, the normalized inverse matrix A ⁻¹ is obtained as the 3 × 3 matrix N1. Further, a 3 × 1 matrix J1 is obtained with J1 = −A ⁻¹ · P.

The 3 × 3 matrix N1 and the 3 × 1 matrix J1 are obtained by the above procedure. here,
The matrix N1 is a setting matrix generated by a method in which the coordinate system after (II) conversion is represented by the coordinate system before conversion, and the matrix J1 represents the coordinate system after (II) conversion by the coordinate system before conversion. Is a constant generated by the method. The matrix N1 and the matrix J1 are stored for conversion of image data.

Next, conversion of image data will be described with reference to FIG. 12 (S51). The image data conversion process of FIG. 12 corresponds to the process of S28 of FIGS. 9 and 24. When converting the adjusted image to the adjusted image, the conversion method differs depending on the selected value of γ correction. Here, this point will be described. -Density linear When the density linear is selected, the scanner outputs complementary color data in R, G, and B formats. In this case, the color adjustment matrix used is that calculated in the complementary color calculation format, and the conversion calculation is as follows.

[0197]

[Equation 44]

Here, R, G and B are image data to be adjusted,
AR, AG, and AB indicate adjusted image data, and "to" indicates 8-bit inversion. -In case of linear reflectance When linear reflectance is selected, the scanner outputs the data of the calculated primary colors. In this case, the color adjustment matrix used is that calculated in the primary color calculation format, and the conversion calculation is as follows.

[0199]

[Equation 45]

Here, R, G and B are image data to be adjusted,
AR, AG, and AB represent adjusted image data. S in FIG.
At 52, distribution data is created based on the adjusted image created at S51.

Next, the display of converted image data will be described with reference to FIG. The display process of the converted image data of FIG. 13 corresponds to the process of S29 of FIGS. 9 and 24. S
At 61, the distribution data obtained at S52 of FIG. 12 is displayed. In S62, when displaying the converted image created in S51, it is checked whether or not a window for displaying the converted image already exists in the image display unit 5. If there is no window for displaying the converted image, a converted image window is created in S63. In S64, the converted image is displayed on the image display unit 5.

As described above, even when the three parameters of brightness, saturation and hue are changed at the same time, it is possible to create one setting matrix. The procedure of the setting matrix from step 1 to step 5 described above includes a method for efficiently performing complicated matrix calculation. Therefore, the procedure from step 1 to step 5 does not necessarily have to be performed, and the setting matrix may be generated in another order or by another method.

Next, how the image is adjusted by the operation of the color adjusting section 2 described above will be described based on the experimental results with reference to FIGS. 14 to 16.

First, FIG. 14 will be described. 14
FIG. 9 is a diagram showing the luminance distributions of the original image 51 and the adjusted image 52 when the mouse pointer 503 having the luminance of (1) moves. (A) corresponds to the luminance distribution of the original image 51, and (b) corresponds to the luminance distribution of the adjusted image 52. It is well known that colors are generally represented by brightness, saturation, and hue. 14
Is a graph of the luminance. The horizontal axis of the graph is luminance, and values are determined so that 0 corresponds to a dark color and 255 corresponds to a bright color. The vertical axis represents the frequency, which is an arbitrary scale. In this case, the mouse pointer 503 is moved so as to reduce the brightness, and this is clearly understood because the graph extends to the left. Also, there was almost no change in the distribution of other saturation and hue. Thus, (1)
By the process (S25), the luminance equivalent amount of the color can be adjusted.

Next, FIG. 15 will be described. Figure 15
FIG. 8 is a diagram showing a saturation distribution of the original image 51 and the adjusted image 52 when the mouse pointer 503 having the saturation of (2) is moved. (A) corresponds to the saturation distribution of the original image 51, and (b) corresponds to the saturation distribution of the adjusted image 52. The horizontal axis of the graph is the saturation, and values are set so that 0 corresponds to a dull color and 255 corresponds to a vivid color. The vertical axis represents the frequency, which is an arbitrary scale. In this case, the mouse pointer 503 is moved so as to increase the saturation, and this can be clearly understood from the graph. The brightest color of the original image 51 (value 25
In the case of 5), the adjusted image 52 has no more vividness, and thus the vividest color remains (the value is 255). In addition, there was almost no change in the distribution of other luminance and hue.
In this way, the color saturation equivalent amount can be adjusted by the process (2).

Next, FIG. 16 will be described. FIG. 16 is a diagram showing the hue distribution of the original image 51 and the adjusted image 52 when the mouse pointer 503 of hue (3) is moved. (A) corresponds to the hue distribution of the original image 51, and (b) corresponds to the hue distribution of the adjusted image 52. The horizontal axis of the graph is the hue, where 0 corresponds to red, (2/3) π corresponds to blue, and (4/3) π corresponds to green. Since the hue is circulating, it returns to red again at 2π. The vertical axis represents the frequency, which is an arbitrary scale. In this case, the hue is negative, that is,
The mouse pointer 503 is moved so that the blue color approaches the red color, and this is clearly understood from the graph. Original image 51
The red color (value 0, indicated by P1 in the figure) of FIG. 2 is circulated, and is thus adjusted to a color between green and red in the adjustment image 52, that is, yellow. In addition, there was almost no change in the distribution of other luminance and saturation. In this way, the hue equivalent amount of the color can be adjusted by the process (3).

Example 2. Next, a second embodiment of the present invention will be described with reference to FIG. FIG. 17 is a detailed view of the image display unit 5. In the figure, 5050 is a saturation hue information graph of the original image 51, and 5051 is a saturation hue information graph of the adjusted image 52. Others are the same as those shown in FIG.

Since the operation of this embodiment is the same as that shown in FIG. 3, its explanation is omitted. However, the original image 51
The color information of is displayed on the luminance information graph 5000 and the saturation hue information graph 5050, and the color information of the adjusted image 52 is displayed on the luminance information graph 5001 and the saturation hue information graph 5051.

Next, the detailed display of the saturation hue information graphs 5050 and 5051 and the operation of the mouse pointer 503 will be described with reference to FIG. FIG. 18 shows saturation hue information graphs 5050 and 5051. For the sake of explanation, the right horizontal direction is the x direction and the upper vertical direction is the y direction.
The center of the rectangular graph is the origin of xy coordinates. The display of the saturation hue information graph of the image signals (r, g, b) is performed as follows. The display position is a point (x, y) where x = (√3) × (b−g) / 2 y = r− (b + g) / 2. The display color at that point is color = (r-min, g-min, b-min), where min is the minimum value among the three components of the image signal (r, g, b). By doing so, it is possible to simultaneously display the color saturation distribution state and the hue distribution state.

Next, the saturation hue information graph 5 of the original image 51
The operation of the mouse pointer 503 installed on the 050 will be described. Three mouse pointers 503 are placed on the saturation hue information graph, and each corresponds to each component of the image signal. The mouse pointer 503 is movable in the center direction and the circumferential direction, and the movement amount in the center direction is the saturation change amount Δc.
r, Δcg, Δcb, and the amount of movement in the circumferential direction becomes the hue change amounts Δhr, Δhg, Δhb. Both mouse pointers 503 can be moved in the positive and negative directions. By displaying the saturation information and the hue information on the same graph in this way, the number of mouse pointers 503 can be reduced, and further, the amount of change in the saturation and hue due to the movement of the mouse pointer 503 in the two-dimensional direction. Can be instructed.

By providing the image display unit 5 having the above structure, the same effect as that of the first embodiment can be obtained.

Example 3. In the above embodiment, the image signal is r
This is the case where it is expressed in gb, cmy, and XYZ. J
Color spaces CIELAB and CIELU defined by IS
When represented by V, the operation of the color adjusting unit 2 is changed. The operation flow of the color adjusting unit 2 is the same as that shown in FIG. In this case, the matrix setting method from S25 to S27 is as follows.

(1) When the mouse pointer 503 of luminance moves-S25 In CIELAB and CIEUV, since the luminance, the saturation and the hue are completely separated, the setting matrix N changes. The maximum brightness sent from the image display unit 5 is L
Let max be the minimum luminance and Lmin be the minimum luminance. Further, if the adjusted maximum brightness is ALmax and the adjusted minimum brightness is ALmin,
The setting matrix N is

[0214]

[Equation 46]

The matrix J corresponds to

[0216]

[Equation 47]

That is.

(2) When the mouse pointer 503 for saturation is moved-S26 The matrix is set with the amounts of saturation change ΔC1 and ΔC2. Setting matrix is N,

[0219]

[Equation 48]

It is calculated as follows.

(3) When the mouse pointer 503 for hue moves: -S27 The matrix is set with the hue change amounts being ΔH1 and ΔH2. Setting matrix is N,

[0222]

[Equation 49]

[0223] is obtained.

When the image signal is CIELAB or CIEUV, by changing the matrix setting,
The same effect as that of the above embodiment is obtained.

Example 4. Next, a fourth embodiment of the present invention will be described with reference to FIG. FIG. 19 is a flow chart showing the operation of the color adjusting section 2 in this embodiment. In the figure, S31 is a working unit showing a matrix storing process.
Other than that, it is the same as that shown in FIG.

Next, the operation will be described. When the end switch 504 is pressed, the matrix saving process of S31 is performed. This is a process of storing the adjusted matrix in the storage device 6. After this work, the operation of the color adjusting unit 2 is "end" of S30. This matrix saving process makes the next adjustment work unnecessary. That is, if the stored matrix is used at the time of the next adjustment, the series of adjustment work shown in the first embodiment can be omitted, which leads to time efficiency.

Example 5. Next, a fifth embodiment will be described with reference to FIG. In FIG. 20, reference numeral 9 is an external color image device capable of transmitting and receiving a color adjustment matrix. The external color image device is specifically a display, a printer, a copying machine, a scanner, or the like. Other than that, the description is omitted because it is the same as that shown in FIG.

The external color image device 9 is connected to the external device interface section 4. The color adjustment matrix is transmitted and received between the two.

Next, the operation of the fifth embodiment will be described according to the operation of the color adjusting section 2. FIG. 21 is a flowchart showing the operation of the color adjusting section 2. The color adjusting unit 2 starts from "beginning" of S20. Then, in S21, the information of the external device interface unit 4 is inquired, and it is determined whether or not the external color image device 9 is connected.

If the external color image device 9 is not connected, the process proceeds to the step S22 of creating an original matrix. For example, the following matrix is created in the original matrix.

[0231]

[Equation 50]

If the external color image device 9 is connected, the process proceeds to the matrix reception from the external device interface 4 in S23. The external interface 4 receives the matrix used in the external color image device 9 from the external color image device 9 such as a scanner, a printer, or a display. Send to color adjustment unit 2. Let us write this reception matrix as follows.

[0233]

[Equation 51]

For the following description, the original matrix and the receiving matrix will be written together as follows.

[0235]

[Equation 52]

In S24, the instruction from the image display unit 5 is monitored, and until the instruction is given, 24 is in the loop state and no processing is performed. When there is an instruction from the image display unit 5, the process branches to the following four processes. (1) When the mouse pointer 503 for luminance moves (2) When the mouse pointer 503 for saturation moves (3) When the mouse pointer 503 for hue moves (4) When the end switch 504 is pressed Each process will be described.

(1) When the Mouse Pointer 503 of Luminance Moves-S25 Since S25 is the same as the processing shown in the first and second embodiments, its explanation is omitted.

(2) When Saturation Mouse Pointer 503 Moves-S26 S26 is also the same as the processing shown in the first and second embodiments, and therefore its explanation is omitted.

(3) When Hue Mouse Pointer 503 Moves-S27 Since S27 is the same as the processing shown in the first and second embodiments, the description thereof will be omitted.

When the processing of (1), (2) or (3) is completed, the process moves to the step S28 of creating an adjusted image. this is,
This is a process of creating an adjusted image 52 from the original image 51 displayed on the image display unit 5. Then, the process proceeds to S29 for sending to the image display unit 5, and the created adjusted image is sent to the image display unit 5 for display. After that, the process enters a loop state of waiting for an instruction from the image display unit 5 in S24. This allows
It is possible to make color adjustments as many times as necessary.

(4) When the end switch 504 is pressed When the end switch 504 is pressed, the matrix saving process of S31 is performed. The setting matrix is saved in the storage device 6. This makes the next adjustment work unnecessary, and a series of operations can be omitted by using this saved matrix at the next adjustment. Then, the matrix transmission to the external interface unit 4 in S32 is performed. Here, when the external color image device 9 is connected,
The process of transmitting the setting matrix to the external color image device 9 is performed. By this processing, it is possible to change the matrix of the color correction processing inside the external color image device 9.
The operation of the color adjusting unit 2 which has completed these processes is "S30".
It is the end ”.

With the above arrangement, the present color image device can be used as the color adjusting device of the external color image device 9.

Example 6. In the above embodiment, the image display unit 5
Although the color information display section 50, the original image 51, and the adjusted image 52 are displayed on the same display medium, this does not necessarily have to be the same display medium. The display (not shown), the original image 51 and the adjusted image 52 may be printers (not shown).

Example 7. In the above embodiment, the image display unit 5
Although the method of displaying the color information display section 50, the original image 51, and the adjusted image 52 is shown in, the display of the color information display section 50, the original image 51, and the adjusted image 52 is not performed, and only the adjustment instruction in which the correspondence between the color adjustment amount and the color information distribution is clear is displayed on the keyboard or the like. It is also possible to use a color image device that performs the color adjustment by performing the above.

Example 8. Although the saturation hue information graphs 5050 and 5051 are displayed as hexagons in the second embodiment, they may be displayed in a circle. In this case, the image signal is
It is converted into saturation and hue, and the saturation is displayed as a transition and the hue is displayed as an inclination.

As described above, in the above embodiment, in the color image device for adjusting the color of the electrically expressed color image, the image display means capable of displaying the original image and the adjusted image at the same time, the original image and the adjusted image. Color information display means for displaying the color information of the color information, adjustment instruction means provided on the color information display means in which the correspondence between the color adjustment amount and the color information is clear, matrix setting means for setting the color adjustment matrix based on the adjustment instruction,
It is characterized by comprising a storage unit for storing the color adjustment matrix and a color adjustment matrix transmitting / receiving unit for transmitting / receiving the color adjustment matrix.

The color image apparatus according to the present embodiment comprises an image display means capable of displaying the original image 51 and the adjusted image 52 at the same time, and a color information display means for displaying the color information of the original image 51 and the adjusted image 52 to be adjusted. Further, an adjustment instruction means provided in the color information display means and having a clear correspondence between the color adjustment amount and the color information distribution, a matrix setting means for setting a color adjustment matrix based on the adjustment instruction, and a setting matrix. Since the storage means for storing the color adjustment matrix and the means for transmitting / receiving the color adjustment matrix to / from the external device are provided, the correspondence between the color adjustment instruction, the color information graph, and the adjustment image is clarified, and the operability of the color adjustment instruction is improved, and There is an effect that the user can easily adjust the color by himself, and further, an effect that the color of the external color image device can be easily adjusted.

The color information display means is one of the color component distribution, the luminance distribution, the hue distribution, the saturation distribution, and the hue / saturation simultaneous display distribution of the image data. Further, the graph of the color information display means is characterized in that a color suitable for each value of the color information is colored to display the frequency. Further, the adjustment instruction means is characterized in that a pointer provided on the color information display means, in which the movement direction indicates the type of the adjustment item and the movement amount indicates the adjustment amount, is moved by the mouse. Further, it is characterized by further comprising color adjustment matrix setting means capable of changing the color adjustment matrix in accordance with the respective adjustment amounts of luminance, hue and saturation. The color space used for the color information display means
Color space of the image signal itself, or CIERGB, C
It is characterized by being any one of IEXYZ, CIELAB, and CIEUV. In addition, the adjustment matrix setting means sets the coordinates of the image signal itself, CIERGB, and CIEX.
The setting method is different between YZ, CIELAB, and CIEUV.

[0249]

As described above, according to the present invention, the correspondence between the color information and the image is clarified, and the operability of the color adjustment instruction is improved. Further, by using the color adjustment matrix, color adjustment can be performed without changing the color space of the image data even when the adjustment amount is specified in different color spaces.

Further, according to the present invention, since the original image, the adjusted image, and the color information of the original image are displayed and the color is adjusted with respect to the color information of the original image, the adjusted image can be easily generated. In addition, the image can be displayed before and after the adjustment.

Further, according to the present invention, since the color information of the adjusted image is further displayed, the color information after adjustment can be compared with the color information before adjustment.

Further, according to the present invention, the adjusted image can be generated by the matrix calculation by creating the color adjustment matrix.

Further, according to the present invention, the generated color adjustment matrix can be stored and reused.

Further, according to the present invention, it is possible to display color information for each attribute of a color such as lightness, hue and saturation.

According to the present invention, for example, hue,
Color information can be displayed by mixing saturations.

Further, according to the present invention, the adjustment amount can be designated by the pointer operation.

Further, according to the present invention, when displaying color information, attributes such as lightness, hue, and saturation can be added and displayed.

Further, according to the present invention, one color adjustment matrix is generated and an adjusted image is generated from an original image even when adjustment is instructed for each color information such as lightness, hue, and saturation. You can

Also, according to the present invention, it is possible to generate a color adjustment matrix for adjusting colors.

Further, according to the present invention, the color adjustment can be easily performed by using this color adjustment matrix.

Further, according to the present invention, when the original image is represented in the first color space in which color adjustment is difficult, the color information display means converts it into the second color space in which color adjustment is easy. Since color information is displayed, it is easy to give instructions for adjustment. In addition, the color adjustment matrix generates an adjusted image based on the first color space without performing conversion to the second color space by performing a matrix operation on the original image based on the first color space. be able to.

Further, according to the present invention, the color adjustment matrix is input from the peripheral device such as the printer or the display device to generate a new color adjustment matrix, and the new color adjustment matrix is output again to the peripheral device. Therefore, it is possible to easily change the image handled by the peripheral device based on the color image device of the present invention.

Further, according to the present invention, there are a plurality of types of the second color space, the color adjustment matrix is generated by a different method based on the type of the second color space, and there are a plurality of types of color spaces. Even when the color adjustment is performed, the color adjustment can be performed by generating the color adjustment matrix.

Further, according to the present invention, the adjustment amount is instructed using the color information such as lightness, saturation and hue, and
The color adjustment matrix is generated by performing color adjustment in the order of saturation, hue, and lightness.

Further, according to the present invention, there is provided a color image adjusting method for displaying an original image and color information of the original image, and displaying the adjusted image by instructing an adjustment amount with respect to the color information of the original image. .

Further, according to the present invention, the color information of the adjusted image can be displayed.

Further, according to the present invention, the color information is displayed based on the second color space in which the color adjustment instruction can be easily performed, the adjustment amount is indicated, and the color adjustment matrix is generated to generate the adjustment image. can do.

Further, according to the present invention, it is possible to generate the adjusted image based on the data based on the first color space representing the original image and the matrix operation of the color adjustment matrix. Therefore, when the adjusted image is generated from the original image, it is not necessary to perform conversion to the second color space at all.

Further, according to the present invention, since the color information is displayed by using the graph and the corresponding color, the user can easily perform the color adjustment. Further, since the original image and the adjusted image and the color information of the original image and the color information of the adjusted image are displayed at the same time, it is possible to perform adjustment while comparing the two. Further, according to the present invention, the image can be adjusted by using the color adjustment matrix without converting the color space of the image data into the color space instructing the adjustment, even when the color space for performing the adjustment instruction is different. .

Further, according to the present invention, the color information display means can display the distribution of color information based on one type of attribute, or the distribution based on a plurality of types of attributes.

Further, according to the present invention, it is possible to display the distribution in a colored manner.

Further, according to the present invention, color adjustment can be performed by moving a mouse pointer provided corresponding to color information.

Further, according to the present invention, one color adjustment matrix is set for each color attribute.

Further, according to the present invention, there are a plurality of color spaces used for color information, and the color information display means displays the color information based on any kind of color space.

Further, according to the present invention, the setting method of the color adjustment matrix differs depending on the color space of the image signal.

[Brief description of drawings]

FIG. 1 is a configuration diagram of a color image device according to the present invention.

FIG. 2 is a detailed view of an image display unit according to the first embodiment of the present invention.

FIG. 3 is a diagram illustrating the operation of the image display unit according to the first embodiment of the present invention.

FIG. 4 is a diagram illustrating details and operation of a color information display unit according to the first embodiment of the present invention.

FIG. 5 is a diagram illustrating an operation of the color information display unit according to the first embodiment of the present invention.

FIG. 6 is a diagram illustrating an operation of the color information display unit according to the first embodiment of the present invention.

FIG. 7 is a diagram illustrating an operation of the color information display unit according to the first embodiment of the present invention.

FIG. 8 is a diagram illustrating the adjustment principle of the color adjusting unit according to the first embodiment of the present invention.

FIG. 9 is a diagram illustrating the operation of the color adjusting unit according to the first embodiment of the present invention.

FIG. 10 is a diagram illustrating the operation of the color adjusting unit according to the first embodiment of the present invention.

FIG. 11 is a diagram illustrating the operation of the color adjusting unit according to the first embodiment of the present invention.

FIG. 12 is a diagram illustrating the operation of the color adjusting unit according to the first embodiment of the present invention.

FIG. 13 is a diagram illustrating the operation of the color adjusting unit according to the first embodiment of the present invention.

FIG. 14 is a first example of color adjustment according to the first embodiment of the present invention.
It is a figure which shows an experimental result.

FIG. 15 is a second part of the color adjustment according to the first embodiment of the present invention.
It is a figure which shows an experimental result.

FIG. 16 is a third example of the color adjustment according to the first embodiment of the present invention.
It is a figure which shows an experimental result.

FIG. 17 is a diagram showing details of the image display unit according to the second embodiment of the present invention.

FIG. 18 is a diagram for explaining the details and operation of the color information display section according to the second example of the present invention.

FIG. 19 is a diagram illustrating an operation of the color information display unit according to the fourth example of the present invention.

FIG. 20 is a configuration diagram of a color image device according to a fifth embodiment of the present invention.

FIG. 21 is a diagram illustrating an operation of the color information display unit according to the fifth example of the present invention.

FIG. 22 is a system configuration diagram according to the present invention.

FIG. 23 is a system block diagram according to the present invention.

FIG. 24 is a diagram illustrating the operation of the color adjusting unit according to the first embodiment of the present invention.

FIG. 25 is a block diagram showing a configuration of a conventional color correction device.

FIG. 26 is a block diagram showing a configuration of a color correction unit of a conventional color correction device.

FIG. 27 is a diagram showing a dialog box of conventional color adjustment software.

FIG. 28 is a diagram showing a dialog box of conventional color adjustment software.

FIG. 29 is a diagram showing a dialog box of conventional color adjustment software.

FIG. 30 is a diagram showing a conventional color adjustment method method for a color image.

[Explanation of symbols]

1 color image input section, 2 color adjustment section, 3 color image output section, 4 external device interface section, 5 image display section, 50 color information display section, 51 original image, 52 adjusted image, 503 mouse pointer, 504 end switch, 5000 original image luminance information graph, 5001 adjusted image luminance information graph, 5010 original image saturation information graph, 5011 adjusted image saturation information graph, 502
0 Hue information graph of original image, 5021 Hue information graph of adjusted image, 5050 Saturation hue information graph of original image, 5051 Saturation hue information graph of adjusted image.

─────────────────────────────────────────────────── ─── Continuation of the front page (51) Int.Cl. ⁶ Identification code Office reference number FI technical display location H04N 1/46 8420-5L G06F 15/66 310 4226-5C H04N 1/46 Z

Claims (25)

[Claims] 1. A color image device having the following elements for adjusting an image using an original image and an adjusted image: (a) an image display unit for displaying the original image and the adjusted image,
(B) Color information display means for analyzing the color information of the original image and displaying the analyzed color information, (c) Adjustment instruction means for instructing color adjustment on the color information displayed by the color information display means. And (d) adjusting means for generating an adjusted image based on the instruction of the adjusting instruction means, and displaying the adjusted image by the image display means. 2. The color image apparatus according to claim 1, wherein the color information display means further analyzes the color information of the adjusted image and displays the analyzed color information. 3. The adjustment means uses a matrix generation means for generating a color adjustment matrix based on a color adjustment amount instructed by the adjustment instruction means, and a color adjustment matrix generated by the matrix generation means from the original image. The color image apparatus according to claim 1, further comprising an adjusted image generating unit that generates an adjusted image. 4. The color image apparatus according to claim 3, further comprising storage means for storing the color adjustment matrix generated by the matrix generation means. 5. The color image apparatus according to claim 1, wherein the color information display means analyzes the original image for each attribute of the color and displays the distribution for each attribute as color information. . 6. The color image apparatus according to claim 1, wherein the color information display means displays a mixture of a plurality of attribute distributions as color information. 7. The adjustment instructing means includes a pointer for designating an adjustment amount for color information obtained by mixing the distributions of a plurality of attributes displayed by the color information displaying means, and makes an adjustment according to the moving direction of the pointer. Select one of the attributes
7. The color image device according to claim 6, wherein the adjustment amount of the selected attribute is instructed by the movement amount of the pointer. 8. The color according to claim 1, wherein the color information display means, when displaying the color information, displays the color information to be displayed with an attribute corresponding to the color information. Imaging device. 9. The color information display means simultaneously displays color information on a plurality of attributes, the adjustment instruction means gives an instruction to make an adjustment on a plurality of attributes, and the matrix generation means gives an adjustment instruction on a plurality of attributes. 4. The color image device according to claim 3, wherein one color adjustment matrix is generated in accordance with the above. 10. A color image device having the following elements: (a) color information display means for inputting an original image, analyzing color information of the original image, and displaying the analyzed color information; (b) displaying the color information. Adjustment instruction means for instructing color adjustment with respect to the color information displayed by the means, (c) matrix generation means for generating a color adjustment matrix based on the instruction of the adjustment instruction means, and (d) the matrix generation means. Output means for outputting the generated color adjustment matrix. 11. The original image is represented by coordinate data based on a first color space, and the color information display means converts coordinate data based on the first color space into coordinate data based on a second color space. And the color information of the original image is obtained from the converted coordinate data based on the second color space, and the adjustment instruction means indicates the color adjustment amount by the coordinate data based on the second color space, and the matrix The generation means generates a color adjustment matrix using the coordinate data based on the second space designated by the adjustment instruction means, and the color adjustment matrix is based on the coordinate data based on the first color space representing the original image. 4. The coordinate data based on the first color space after the adjustment based on the instruction of the adjustment instruction means is generated by performing a matrix calculation with
Or the color image device according to item 10. 12. The color image device further comprises a peripheral device that operates using a color adjustment matrix, and the matrix generation means inputs the color adjustment matrix from the peripheral device and uses the input color adjustment matrix. 11. The new color adjustment matrix is generated based on the instruction of the adjustment instruction unit, and the output unit outputs the color adjustment matrix generated by the matrix generation unit to the peripheral device. Color imager. 13. The types of the second color space used by the color information display means are the first color space and CIERGB, CI.
12. The color image device according to claim 11, wherein the color image forming device is any one of EXYZ, CIELAB, and CIELUV, and the matrix generating unit generates a color adjustment matrix by using a different system depending on the type of the second color space. . 14. The color information display means includes lightness, saturation,
Hue color information is displayed, the adjustment instructing means indicates an adjustment amount for the lightness, saturation, and hue color information, and the matrix generating means creates a color adjustment matrix using the saturation adjustment amount. 13. The method according to claim 10, 11 or 12, wherein the color adjustment matrix is generated, and then the color adjustment matrix is generated using the hue adjustment amount, and then the color adjustment matrix is generated using the lightness adjustment amount. Color imager. 15. A color image adjusting method for adjusting an image using an original image and an adjusted image, comprising: (a) an image displaying step of displaying the original image; and (b) color information of the original image. An original image color information display step of analyzing and displaying the analyzed color information; (c) an adjustment instruction step of instructing a color adjustment amount for the color information displayed by the original image color information display step; ) An adjusted image display step of generating an adjusted image based on the instruction of the adjustment instruction step and displaying the image. 16. The color image adjusting method further comprises:
The color image adjusting method according to claim 15, further comprising: a color information displaying step for adjusting image, which analyzes the color information of the adjusted image and displays the analyzed color information. 17. A color image adjusting method which comprises the following steps and adjusts an image using an original image represented by coordinate data based on a first color space and an adjusted image: (a) a first image representing the original image A color information display step of converting the coordinate data based on the color space of the above into the coordinate data based on the second color space to obtain and display the color information; (b) a color information display step for the color information displayed by the color information display step. An adjustment instruction step of instructing color adjustment using coordinate data based on the color space of (2), (c) based on the instruction of the adjustment instruction step,
A matrix generation step of generating a color adjustment matrix for adjusting the original image, and (d) an adjusted image generation step of generating an adjusted image using the color adjustment matrix generated in the matrix generating step. 18. The adjusted image generating step performs a matrix operation of coordinate data based on a first color space representing the original image and a color adjustment matrix to directly convert the original image into the adjusted image. 18. The color image adjusting method according to claim 17, which is characterized in that. 19. A color image device for adjusting a color of an electrically expressed color image, wherein image display means capable of displaying an original image and an adjusted image at the same time, and color information of the original image and the adjusted image are displayed. A color information display unit, an adjustment instruction unit provided together with the color information display unit for instructing a color adjustment amount corresponding to the color information, and a matrix setting unit for setting a color adjustment matrix based on the adjustment instruction. Characteristic color image device. 20. The color information display means displays at least one of a color component distribution, a luminance distribution, a hue distribution, a saturation distribution, and a hue / saturation simultaneous display distribution of image data. The color image device according to claim 19. 21. The color image device according to claim 20, wherein the color information display means displays a frequency by coloring a color suitable for each value of the color information when displaying the distribution. . 22. The adjustment instructing means moves a pointer provided corresponding to the color information displayed by the color information display means by the pointer designating means, the moving direction of which indicates the type of adjustment item, and the movement thereof. 21. The color image device according to claim 20, wherein the amount represents an adjustment amount. 23. The color image device according to claim 19, wherein the matrix setting means can change the color adjustment matrix according to the adjustment amounts of the luminance, the hue, and the saturation. 24. The color space used for the color information display means is the color space of the image signal itself, or CIERG.
The color image device according to claim 19, wherein the color image device is any one of B, CIEXYZ, CIELAB, and CIEUV. 25. The matrix setting means comprises the coordinates of the image signal itself, CIERGB, CIEXYZ and CIELA.
20. The color image device according to claim 19, wherein the setting method of the color adjustment matrix is different between B and CIE LUV.