JPH04150564A - Color image processor - Google Patents

Abstract

PURPOSE:To register many kinds of complicated processing methods for a color image by providing a processing means which performs plural kinds of content processing on color image data, a setting means which sets a processing parameter, and a means which registers the processing parameter after attaching a proper name. CONSTITUTION:The processing means which performs the plural kinds of content processing on supplied color image data, the setting means which sets respective processing parameter of the plural kinds of processing on the processing means, and the means which registers the processing parameter set by the setting means after attaching the proper name are provided. Also, it is desirable to include a color masking coefficient and a spatial filter coefficient in the processing parameter, and also, the proper name is expressed n a character string consisting of plural characters. Thereby, it is possible to register many kinds of complicated processing methods for the color image.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a color image processing device, and particularly to a means for adjusting color tone and sharpness.

[Prior art]

In recent years, full-color copying machines have become widespread, and it has become relatively easy to adjust color and sharpness. For example, you can adjust the color balance by operating the level display displayed on the panel using the touch keys as shown in Figure 18, or after selecting the desired color as shown in Figure 19 (a),
Image quality can be adjusted using a function that adjusts the ratio of each color component using percentages, as shown in Figure 19 (b), or a function that adjusts the strength of sharpness emphasis using a scale, as shown in Figure 20. Ta.

With such devices, if an image with the desired image quality is obtained by adjusting the color balance and sharpness, for example, the process is usually performed by making several trial copies, resulting in wasted copying and extra time. do. If the operator leaves the machine for a while and then wants to obtain the same image quality again, the settings may have been changed by another person during that time, or the settings may have automatically returned to the default settings, and the operator may have to change the settings again. You will have to go through many adjustment steps, which will increase your cost and waste time.To prevent this, you can write down the settings after each adjustment and record them, but if the operation becomes complicated, the contents will be The number of keys increases, and it is very troublesome to do it each time.Recently, some devices have a "memory key" function that stores the settings at a certain time in the internal memory, but the number of keys is limited, and the number that can be registered is limited. However, if the number of keys is increased, the number of keys will increase unnecessarily on the operation panel, making it more complicated.

In view of this problem, it is an object of the present invention to provide a color image processing apparatus that is capable of registering a large number of complicated processing methods for color images.

[Means to solve the problem]

In order to achieve the above-mentioned problems, the present invention provides a processing means for performing a plurality of content processes on given color image data, a setting means for setting processing parameters for each of the plurality of processes to the processing means, and the setting means. and a means for registering processing parameters set by a unique group.

〔Example〕

Hereinafter, the present invention will be explained in detail with reference to the drawings. Figure 1 shows
1 shows an overall configuration diagram of an image processing apparatus according to the present invention, and the overall general operation will be explained here.

Reference numeral 1 denotes a color image sensor that separates the reflected light image from a color image document line by line and pixel by pixel and converts it into a corresponding electric signal.
Approximately 4700 pixels XR so that it can be read with a pixel density of pi
, G, B (3 lines) pixel configuration. The read color image signal 200 is subjected to signal processing in the atherog processing circuit 2 to match the digital range of the white/black balanced A/D converter 30 for each color, and then sent to the next stage A/D converter 3. is digitized to obtain a digital image signal 201 for each color. The shading correction circuit 4 is a circuit (not shown) that corrects unevenness in the amount of light in the reading optical system, variations in sensitivity among pixels of the COD sensor, and the like. This device is configured to temporarily store the read full-color image in the image memory and read it later in synchronization with a synchronization signal from, for example, a color printer.Therefore, data is compressed to reduce memory capacity. .

The human eye is highly sensitive to the luminance component in an image (but relatively insensitive to the color component, so the read R, G
, L signal, which is the luminance component, and a, which is the color component, from the B signal.
, convert to b component6), brightness component to image memory 8 as is, a and b component to vector quantization7),
The data is stored in the image memory 9 after reducing the amount of data. R,
G.

The conversion from B to L, a, and b and the vector quantization method are not the subject matter of the present invention, so a detailed description thereof will be avoided. -The coded image signal stored in the image memory 8.9 is read out in synchronization with the synchronization signal 1Top 245 in the sub-scanning direction obtained from the color printer 100, corresponding to the image output of each color ( 206, 207)
, R, G, B (208, 20
9,210) is decoded into a signal. The y conversion circuit 11 is R
, G, B signals, C, M, corresponding to the density of the coloring material.
This is a circuit that converts it into a Y signal.

Color signals 211.212.213 (
For M: Magenta, C Nidian, and Y: Yellow, respectively), the color material used in the printer, specifically in this case, magenta toner, cyan toner, and yellow toner. So-called masking processing to correct cloudiness, ink removal, and undercolor removal (UCR) are performed to obtain an image reproduction close to the color tone of the original. The next step, sharpness processing 14, emphasizes high spatial frequency components in the image to increase sharpness, and the density conversion circuit 15 adjusts highlights and shadows of each color signal, overall tone adjustment, etc. It looks like it can be done. As will be described later, parameters related to masking processing calculations, parameters determining the strength of sharpness related to sharpening processing, and density conversion characteristics are each independently controlled by C.
The PU 19 allows for variable and multiple settings, and as will be described later, area setting signals 220, 221, 222,
It has a configuration that allows for high speed and multiple switching.

The area mask brain 16 has a pattern corresponding to an arbitrarily shaped area inputted from the editor 17 as a CP.
The area setting signal 220.2 is written by U19 and read out in synchronization with the image when the image is formed.
21.222 are generated based on this. On the other hand, the content of processing within the specified area, for example, parameters regarding color and sharpness, are determined as described below based on instructions given by the operator through the operation unit 18. 20.21.
22 is a program ROM and data RAM for the CPU.
, is an output port.

FIG. 2 is a diagram showing the configuration of a masking processing arithmetic circuit. Masking processing is performed using printing technology, etc. to control the input color signal (M
, C, Y). Normally, for one type of image, the above-mentioned calculation/parameter is uniquely determined by the toner, so nine types of parameter are prepared, including the above-mentioned m m "'-' y y".
i′ is sufficient. However, in this example, each parameter point can be set in four ways, for example (mm, ~yyt) ~ (mm4 ~
yy4) and each signal 220-1.220
-2 is configured to switch on a pixel-by-pixel basis, and masking calculations can be performed using different parameters even within the same image. 224-1 and 224-2 are color switching signals, and for example, the CPU 1
9, output from the output port 22, "o
, o”, in block 50 (or registers 25 to
It should be supplied as a coefficient for the M main color component among the 3 sets and 4 sets set to 36 (selectors 37, 38...
In 39.40, all inputs are selected as "0", and the selector 41 has mm , , mm 2 ゜ mm 3 . mm4 is output. That is, a desired value between mml and mm4 is selected as the coefficient of the main color component by the area signals 220-1 and 220-2. Similarly, Cml~Cm
4 is a coefficient for the correction signal M during C image formation, 3'm+
~ym4 is a coefficient for M when forming a Y image.

Blocks 51 and 52 have the same configuration as block 50, and operate in the same manner except for the color correspondence. To explain the overall operation using, for example, when forming an M image, for example, the image signals M, C, Y (211, 212° 213) are multiplied by multipliers 42, 43, 44, and the area signal 220
-1.220-2 is “o, o”, then the multiplier 42
mm 1 for the multipliers 43 and 44, and rrl for the multipliers 43 and 44, respectively.
c H+ rrlyl is output, and each output has MXmm
l.

CXmc 1. YXmy 1 is output. On the other hand, the minimum value circuit 53 calculates min (M, C, Y), that is, the black component (241), and the value K IJCR 237 subjected to density conversion through the LUT 54 is output as the UCR amount, and the output 236 of the adder 45 ( MXmm 1 +CXmc
1+YXmy H) is subtracted by 46. Therefore, the output 240 (when forming a black image, 242) is M
, C, Y when forming an image, it is 238, that is (MXmm 1
+CXmc 1+YXmV +) KUCR is output, the masking UCR processing is completed, and here, the above-mentioned numbering area signals 220-1 and 220-2 are output.
．． Each coefficient mm l, mc l, m by ARO, ARl
yl can be changed arbitrarily.

The delay circuits 23, 24 have different delay amounts, for example, for the image signals 211, 212, .
213 is masked and UCR processed to correct the image delay before being input to the next sharpness circuit. For example, if the masking and UCR circuit causes a delay of M pixels, and the sharpness processing circuit causes a delay of N pixels. Ba, 2
3.24 are each M.

It is provided as a delay circuit having N pixel delays. Furthermore, multiple sets of look-up tables LUT54.49 for determining the amount of UCR and the amount of smearing are also prepared, and similarly, characteristics such as those shown in FIGS. 3(a) and 3(b) can be switched using area signals ARO and ARI. You can also choose the characteristic E→■→■→■.

Next, the sharpness processing circuit 14 shown in the first diagram will be explained. The sharpness processing circuit in this embodiment is based on the well-known so-called Laplacian method. That is, as shown in FIG. 4(a), for example, in a 5×5 small pixel block, if the density value of the central pixel is ■, and the density values of the surrounding pixels are ■, ■, ■, ■, then the edge amount E is is calculated by so-called E=kX-1 (■+■10■+■), and the edge-enhanced signal is obtained by D=E+■. Here, in order to perform a 5×5 block operation, the line 252 which is two lines ahead of the line 251 and 251 containing the center pixel in the line memories 55, 56, 57, and 58 of the FiFo structure.
, the same (2 lines following 250 are obtained at the same timing, and the delay element D (59-1, 59-2゜6
0-1 to 60-4. 61-1. 6l-2), the center pixel ■ and surrounding pixels ■, ■, ■, ■ are obtained, and the edge amount is calculated. This circuit also uses area setting signals AR' O (221-1), AR' 1 indicating an arbitrary shape in an image.
Coefficient registers 70-1 to 70- by (221-2)
4°72-1 to 72-4, I! Value of 1 to 4
+1! It can be changed in 4 ways from 1 to 14. For example, if (ARO, ARI) = (1, 0), selectors 69 and 71 each have 12. 2 is selected and each is supplied to the multipliers 65 and 66, so the edge amount is E=■×2-1!2×(■+■+■10■), which is a different sharpness enhancement from the above. becomes.

Furthermore, the coefficient f can be arbitrarily rewritten under CPU control as will be described later, and the edge amount can also be finely adjusted using an adjustment mechanism.

FIG. 5 is a diagram showing the configuration of the density conversion block 15. As for the basic operation, image data is input from 218, and LUT
(Lookup table) 74 undergoes density conversion, and has functions such as emphasizing highlight areas with shadow areas and adjusting color balance. 199 is CP
This is a U bus; as will be described later, a different LUT can be set for each color by rewriting the contents of the LUT 74 made up of RAM by the CPU during non-image output. This LUT is also an area setting signal, AR'O.

AR' 1 (222-1, 222-2) allows the density conversion characteristic to be changed according to the arbitrary shape of the image. For example, if the image data is 8 bits, rewriting the LUT will be 256 times in 4 banks from BKO to BK3.
X4=1024 bytes, and even if it takes 10 μsec to write 1 byte, it completes in about 10 m5 ec. By the way, the color printer in this example is the 6th color printer.
As shown in the figure, a laser beam image-modulated by a laser diode 82 is reflected by a polygon mirror 81, and a latent image corresponding to each color separation image is sequentially formed on a photosensitive drum while raster scanning is performed, and this is converted into a corresponding trace image. Vessel (M, C
, Y, K), 79-1 to 79-4, and are transferred to the copy paper wound on the transfer drum 78, and the images of four colors are superimposed on M, C, Y. This is a full-color printer that completes one full-color copy by peeling the paper from the transfer drum and fixing it in a heat-pressure fixing device 83, and the time interval between surfaces is approximately 1. Second to 2 seconds. Therefore, there is sufficient time to rewrite the LUT 74, so there is no problem at all. Figure 5 (b
) shows an example of the characteristics written to LUT74,
0: The hexagonal output characteristic is linear, both the cobilight part and the shadow part are slightly emphasized and the contrast is made a little hard, 2: The highlight part is emphasized, 3: The shadow part is emphasized, 0 to 3 are area setting signals AR' 0
．． AR'1 is selected as appropriate.

Next, a method for setting an arbitrary-shaped area based on the coordinates of points continuously inputted from the editor will be explained.

FIG. 7 shows a state in which a document O is placed on the editor 17 and a non-rectangular area F in the document is specified using the editor Ben 101.

From the editor 17, for example, the left corner of the editor panel surface is the starting point, the sub-scanning direction is the Y direction, and the main scanning direction is the X direction, and the coordinates (x, y) of the specified point are the X-th pixel after Y lines from the starting point. CPU as meaning data
19 is input. On the other hand, since the area mask plane memory explained in Fig. 1 is a mask plane held for areas in one-to-one correspondence with the image area, the CPU stores the address corresponding to the input coordinate point (Xn, Yn). (X
All you have to do is to write the necessary values to (n, Yn) at any time.

For example, the editor pen passes through P1→P2→P3→P4 continuously as shown in FIG. 8(a), and the points sampled at regular time intervals are Pi, P2, and so on. P3. If it is P4, predetermined data can be written to the corresponding address (black dot) on the memory as shown in FIG. 8(b).

At this time, connections between sampling points (for example, PI and P
2. P2 and P3) are performed by linear interpolation based on the coordinates of two points, and therefore any non-rectangular shape is formed by connecting short line segments. The interpolation method will be described according to FIG. Sampling point is A1 (Xr+ Y 2)+
A? (X7!Y7) then 2 points A I r
The straight line that passes through A7 only needs to increase by one line in the Y direction, so =Y,
+1. Y3=Y, +2... and increases by one until Y7 is reached. Therefore, by substituting this into equation (1), we get, for example. Since Xn is an integer, if the closest integer is selected, the coordinates of (x,, yn) are determined, and data can be sequentially written to this address. For example, in this embodiment, the data to be written is configured to designate four areas with a depth of 2 bits, so it is written as 00", ", depending on each area.
01', "10" and "11" are written. For example, the first
In the case of specifying the area number, setting of the area is completed by writing data "01" to the address shown in black in FIG. 8(b), ie, the address calculated by equation (1).

10(a), (b), and (c), a method of generating an actual area signal from area designation data previously set in the area mask plane memory will be described.

87 is an area mask brain memory. For example, if the image input density is 400 dpi and it has memory corresponding to the capacity of an entire A3 sheet, then 297 x 420 x 1 (25,4/400)-'
]” = 31M pixels Therefore, the memory has a capacity of 22b1tX31. In addition, the Y counter receives the synchronization signal (
(not shown) 247, the count value is initialized to "0", and the X counter is initialized to the count value="0" by the horizontal synchronization signal 246. The 2-bit area generation data 249.250 read by the address 253 generated by the X, Y counter is only for times other than "o, o" J/K FF 91.921: LCL supplied
Stop K254 and set "0,1"1. O” “1.1”
At (7), LCLK is supplied.

In other words, if the data in the memory is other than "o, o", J/K
The outputs of the FFs 91 and 92 are inverted to generate area signals ARO and ARI as shown in FIG. For example, the same figure (
For a curved area like c), each Nth line, N+1
Line 1: The (N+n)th line area signal will be generated and will be supplied as the area signal that functions in Figures 2, 4 (b), and 5 (a). .

Furthermore, although a digitizer was used in the above embodiments, for example, images such as computer graphics are not limited to this, and an image specifying method by a computer using a pointing device (also referred to as a mouse) as shown in FIG. 23 may also be used. good.

As a result, when specifying an area for a non-rectangular image, for example a "tree" part in an image as shown in Fig. 21, it is possible to specify more accurately than the conventional specification using a rectangle as shown in Fig. 22. It can be done.

Next, determine the desired image state, such as color and density, for the arbitrarily shaped region described above.

Alternatively, a method for specifying and manipulating the atmosphere of an image will be described. FIG. 11 shows an example of the operating section of the apparatus of this embodiment. Reference numeral 96 is a key and display section for adjusting the balance of color materials, and numerical display 5 is the center value. Therefore, for example, if M, C, Y, and K are set to 5.4.6°3, then the linear data having the characteristics shown in Fig. 12 is converted to the density shown in Fig. 5(a). Store in RAM 74. This printer forms images in the order of M→C→Y→, so as shown in the timing chart in Figure 13, the LUT74 is rewritten between times TM, TC, TY, and TK other than each image output. Depending on the situation, the color balance is adjusted by changing the conversion characteristics for each color. On the other hand, key 98. The key 99 is an effect adjustment key and an effect registration key, and is used to express words related to the color or atmosphere of an image, such as words such as "Aoppo", "Akirashi", and "Vividly" that are displayed on the touch panel display screen 97. Adjustments are made with “words” that awaken the senses,
After adjusting the color balance, sharpness level, 9 colors, etc., the resulting atmosphere is registered as sensuous "words", and from then on, the same effect can be obtained with a single touch using only the registered "words". This is the key to Normally, the display panel screen displays the number of copies, cassette selection, number of selected sheets, magnification setting, etc., but these are omitted as they are not the main purpose of the explanation of the present invention.

For example, suppose that an image that feels "blue" is obtained when the balance adjustment data is set to 5 for Y and K (yellow, black), 6 for M, and 7 for C, as shown in FIG. 13, for example. At that time, if you register the effect using the method described below, the processing parameters will be automatically set by simply specifying the registered "Blue-ish".

Next, for example, the 511th
As shown in (b), region l is in high contrast for magenta color,
When setting the highlight emphasis for area 2 and the shadow emphasis for area 3, set the color balance to 3 and make a slightly lighter adjustment.
) can be used as a reference to adjust the tone of each tone, so even when re-adjusting to change or improve previous adjustments, you can adjust only the changes.

Next, a method of effect registration and effect designation will be described according to FIGS. 15 and 16. Effect registration is performed using an effect registration key 99.

Adjustments made by the user include, for example, increasing the sharpness (as shown in Figure 4(b), changing the value of β), and increasing the amount of undercolor removal and ink filling (Figure 3(a)).

(b)), if the image looks sharp, if the effect registration key 99 is pressed in that state, the screen on the touch panel changes as shown in FIG. 15(a). Next, as shown in Figure 15(b), select the desired character from the character entry box provided in a part of the editor, and in this case enter "("
By touching the "Register" position, you can remove undercolor and add ink.

Each edge amount parameter is registered in the internal memory. Figure 15 (C) shows the memory contents, and shows the parameters for the above-mentioned "crisp" adjustment, and the UCR characteristics are "■" for M, C, Y, and K, and the amount of smudge characteristic is "■"
, color balance characteristics are M, C.

Y, K=″5″ Edge parameter is =5. J
=14, which is raining on A. Therefore, as will be explained next, when the effect ``(clearly'') is specified, the parameters shown in FIG. be done.

FIG. 16 shows a display on the operation panel showing the operation procedure for specifying an effect.

To specify an effect, first, when the effect key 98 is pressed, the screen changes to Sl, and it is specified whether or not an area is to be specified. If there is, specify rectangle or non-rectangle. In this case, for example, since the non-rectangular designation is made, the screen changes to 82, and in this state, trace the desired non-rectangular shape on the image with the editor Ben, as shown in FIG. 16(b), and use the mask plane for the corresponding area as described above. After the predetermined address calculation is performed in the memory, the data is written (. After specifying the area, touch the "OK" part to move the screen to S3. Here, we want to specify "(clearly)") So “ka”
Search by line (Touch "Ka" and "Kikirito" will be displayed in the screen S4 selected in the "Ka" row.) "(Kikirito") can be set as a condition with the effect registered as described above.

If you specify "3. Clear" on this screen, it will move to 85, where you will be able to adjust the degree of "(Clear)". In this example, "Clear" means the degree of sharpness. By rewriting the value of A in the coefficient, it is possible to switch to multiple stages.For example, as shown in Fig. 17, the address ADO to AD63 in the memory is
Sixty-four parameter sets are stored such that n>kn++ and i n>1 nil. The degree of sharpness that was set immediately before the adjustment on screen S5 in Figure 16 (a, ) is used as a coefficient, and f is (k, ,
In), then f will be (k
n-4, i n-4) (kn-a, i n-3) -
(kn+I!n) -(kn+4.i n+4)
It is set to correspond to Therefore, for example, if you select "7" for sharp adjustment (kn++, I! n11
) is the register 71. in FIG. 4(b). It is set to 69.

This allows you to make adjustments more clearly, based on the state immediately before making the adjustment settings.

[Second Embodiment] FIG. 24 shows a second embodiment. In this embodiment, the read image is thinned out by a thinning circuit 220 to reduce its capacity and stored in the display memory 207. The read image is displayed on a display 208 in the copier operation section. The operator selects the designation panel 209 using the pointing device 210.
As shown above, area information 215 is input to the CPU 206 via the input port 211. On the other hand, the operation panel 221
The color and sharpness settings are input from , and the same (CPU20
6 is input. The image quality of the arbitrary figure is adjusted based on the data written to the mask memory plane 212 based on the input area data and the parameters of the processing unit 205 determined based on the set color and sharpness information. . 225 is a character code memory for character display,
226 is a character generator for displaying characters on the display device 208, and the characters to be displayed are generated by the OR circuit 22.
7 to the display device 208, as shown in FIG. 16(a).
A screen like this will be displayed. By indicating this with a pointing device, operations for specifying characters and registering procedures are performed.

[Embodiment 3] FIG. 25 shows a third embodiment. In this example, a character string input device that allows handwriting is used, and the handwriting panel 23
2. Handwritten characters input by the pen 2339 display 236 are recognized by the controller 235, and the characters are displayed on the bus 23.
0 to the CPU 206, and at the same time, the code of the recognized character is supplied to the driver 237, which displays the recognized character for confirmation. Operation panel 234
As in the first embodiment, adjustments related to image quality, such as color balance and sharpness, can be made from here. C.P.
U206 can realize this function by searching for a predetermined processing parameter based on the input character string and then setting it in a predetermined register of the processing section via bus 231.

As explained above, according to this embodiment, image adjustment can be performed to adjust the feel and atmosphere of the image, such as "blue" or "akirashi".
Words such as “clearly” and “brightly” and “tana power”
By making it possible to register and configure using a character string such as a name such as "Yamamoto," complex settings can be easily understood (and can be performed using a large number of combinations. This is realized by an input means, a character string display means, an image processing parameter setting means and a changing means, a character string registration and reading means indicating an image mode, and a means for specifying each processing content.

As explained above, according to this embodiment, parameter sets for image quality adjustment can be set as much as the storage capacity allows, and registration and settings can be performed using words that are similar to human senses. It is easy to understand even for operators who do not know the equipment (it is now possible to make adjustments easily).Furthermore, it is easy to add or change functions, and there is no need to add keys, so the cost is low (achievable).

Furthermore, in this embodiment, the processing parameters are registered by "words" using a digitizer in order to register them by their unique names, but the present invention is not limited to this. You can also do this.

Further, in this embodiment, the printer shown in FIG. 6 is used as the printer, but other recording methods such as an inkjet recording apparatus may be used.

In such a case, the circuit shown in FIG. 2 or the circuit shown in FIG. 5(a) may be provided in parallel for each color component for color masking processing.

〔Effect of the invention〕

According to the present invention, many complex color image processing methods can be registered.

[Brief explanation of drawings]

FIG. 1 is a block diagram showing the overall configuration of an embodiment of the present invention, FIG. 2 is a diagram showing the configuration of the masking processing section, and FIG. 3 is a block diagram showing the overall configuration of an embodiment of the present invention.
Figure 4 shows the configuration of the sharpness processing section; Figure 5 shows the configuration of the density conversion section; Figure 6 is a cross-sectional view of the color laser beam printer; Figure 7 , Fig. 8 and Fig. 9 are diagrams explaining the method of specifying the area, Fig. 10 is a diagram explaining the generation of the area signal, Fig. 11 is an external view of the operation section, and Figs. Figure 14 is a diagram explaining the setting of density conversion characteristics, Figure 16 is a diagram showing the operation procedure for effect registration, Figure 16
The figure shows the operation procedure for specifying an effect, Figure B shows the < parameter for sharpness setting, Figures 18 to 20 are diagrams explaining the conventional technique, and Figure 21
22 and 23 are diagrams for explaining another method of specifying an area, and FIGS. 24 and 25 are diagrams showing the configuration of another embodiment of the present invention. 12... Masking processing unit 13... UCR processing unit 14... Sharpness processing unit 15... Density conversion unit 16... Area mask plane 17... Editor 18... Operation unit KUeR Output port==6: F*tttF4 Fig. 15 (C) Roef standing FH Yakuza number? /figure

Claims (5)

[Claims] (1) Processing means for performing a plurality of content processes on given color image data, a setting means for setting processing parameters for each of the plurality of processes to the processing means, and a processing parameter specific to the processing parameters set by the setting means. 1. A color image processing device comprising: means for assigning and registering a name. (2) The color image processing apparatus according to claim (1), wherein the processing parameters include color masking coefficients. (3) The color image processing apparatus according to claim (1), wherein the processing parameters include spatial filter coefficients. (4) The color image processing apparatus according to claim (1), wherein the unique name is represented by a character string consisting of a plurality of characters. (5) The color image processing apparatus according to claim (4), wherein the proper name is expressed by an adjective.