JPH04150565A - Color image processor - Google Patents

Abstract

PURPOSE:To easily set a complicated processing method for a color image by providing a processing means which performs processing on color image data, a storage means which sets the processing parameter of the processing means as a proper name and stores plural proper names, and a means which retrieves a registered processing parameter. CONSTITUTION:The processing means which performs the processing on supplied color image data, the storage means which sets the processing parameter of the processing means as the proper name and stores plural proper names, and the means which retrieves the processing parameter registered from the storage means are provided. Also, it is desirable to include a color masking coefficient and a spatial filter coefficient in the processing parameter, and the proper name is expressed in a character string consisting of plural characters. Thereby, it is possible to retrieve the registered processing parameter with the proper name, and to improve the way of using.

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.

[Conventional technology]

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

[Problem to be solved by the invention]

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 wants to obtain the same image quality again after leaving the machine for a while, 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 Adjustment procedures will be required, resulting in increased cost and time wastage. If you want to prevent this, you can record the settings after each adjustment by writing a memo, but as the operations become more complex, the number of details increases, and it is extremely 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, so the number that can be registered is limited, and if you increase the number of keys, the The problem was that the number of keys increased unnecessarily, 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 allows complicated processing methods for color images to be easily set.

[Means to solve the problem]

In order to achieve the above-mentioned problems, the present invention includes a processing means for processing given color image data, a storage means capable of storing a plurality of processing parameters of the processing means together with a unique name, and a storage means registered from the storage means. and means for searching processing parameters.

〔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.

1 is 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 x R 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 sent to the analog processing circuit 2
Then, each color undergoes signal processing to match the input dynamic range of the white/black balanced A/D converter 3, and is digitized by the A/D converter 3 in the next stage, producing a digital image signal 201 for each color. obtain. The shading correction circuit 4 compensates for uneven light intensity of the reading optical system and COD (not shown).
This is a circuit that compensates for variations in sensitivity between pixels of the sensor. This device stores the read full-color image in an image-bearing memory and reads it later in synchronization with a synchronization signal from, for example, a color printer.Therefore, data is compressed to reduce memory capacity. There is. The human eye is highly sensitive to the luminance component in an image and relatively low sensitive to the color component, so the read R,
The G and B signals are converted into luminance components and color components a and b components6), and the luminance components are transferred to the image memory 8 as they are, while the a and b components are vector quantized7), and the amount of data is The image is stored in the image memory 9 after being reduced. The conversion from RlG, B to L, a, b and the vector quantization method are not the gist of the present invention, so detailed description thereof will be avoided. - The encoded image signals stored in the image memories 8 and 9 are transferred to the color printer 10.
In synchronization with the synchronization signal 5TOP245 in the sub-scanning direction obtained from
R2O,B (2
08, 209, 210) signal.

The y conversion circuit 11 is a circuit that converts R, G, and H signals into C, M, and Y signals corresponding to the density of the coloring material.

Color signals 211.212.213 (
For M: magenta, C: yellow, and Y: yellow, respectively, the coloring material used in the printer, in this case specifically magenta toner, cyan toner, and yellow toner, is the color due to unnecessary absorption in the spectral characteristics of the toner. A so-called mass-on process for correcting turbidity, 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, the parameters related to the mass-on processing calculation, the parameters that determine the strength of sharpness related to sharpness processing, and the density conversion characteristics are each independently controlled by C.
The PU 19 allows variable and multiple settings, and as will be described later, the area setting signals 220, 221, and 222 allow for high speed and multiple switching.

In the area mask plane 16, a pattern corresponding to an arbitrarily shaped area inputted from the editor 17 is stored in the 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 RA for the CPU.
M 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
, C5Y), it is well known that this can be realized by the following operation. Normally, for one type of image, the above calculation parameters are uniquely determined by the toner, so the parameters are also m m
It is sufficient to prepare 9 types from ``-y to y. However, in this example, each parameter set can be prepared in 4 ways, for example (m
m1 ~ yys) ~ (mm4 ~ yya) are prepared and each is configured to be switched pixel by pixel using the signal 220-1.220-2, so that masking calculations can be performed using different parameters even within the same image. It is something. 2
24-1.224-2 is a color switching signal, for example, "0.0" during M output and 0.0 during C output. 1”, “ during Y output”
Based on the control of the CPU 19, the signal is output from the output port 22 so that the value becomes "0.1.0". O”, block 5
0 is supplied as a coefficient for the M main color component among the 3 and 4 sets set in registers 25 to 36, so all inputs to selectors 37.3B and 39.40 are 0.
0" is selected, and the selector 41 has mml, mm2
゜mm3. mm4 is output. That is, the area signal 220
-1.220-2, the coefficient of the principal color component is m
A desired value from ml to mm4 is selected.

Similarly, Cml to Cm4 are coefficients for the correction signal M when forming a C image, and 7ml to ym4 are coefficients 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", multiplier 4
2 has mml, and multipliers 43 and 44 have mCl, respectively.
, m71 are output, and each output has Mxmm 1.
Cxmc 1+yxm71 is output. - On the other hand, the minimum value circuit 53 calculates min (M, C, Y), that is, the black component (241), and outputs the density-converted value K IJCR 237 as the UCR amount through the LUT 54.
Output 236 of adder 45 (MXmm 1+CXmc
1+"xmy+)" is subtracted by 46. Therefore, when forming a black image, the output 240 has 2', (242) M.

When forming images of c and y, 238, that is, (MXmml
+Cxmc 1+Yxmy 1 )-KUCR is output, masking and UCR processing are completed, and here, as described above, area signals 220-1, 220-2 .
A.R.O.

Each coefficient mrn 1* mc 1+ m by ARI
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, a plurality of look-up tables LUT54.49 for determining the amount of UCR and the amount of smearing are also prepared.
You can also switch between RO and ARI to select characteristic engineering →■→■→■.

Next, the sharpness processing circuit 14 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 as so-called E=kX■-β(■+■+■+■), and the edge-enhanced signal is obtained as D=E+■. here 5
In order to perform block operations of
51. Line 252, which is two lines ahead of 251, and line 250, which is also two lines behind, are obtained at the same timing, and further delay elements D (59-1, 59-2, 60-1 to
60-4°61-1.6l-2), the center pixel (2) and surrounding pixels (2), (2), (2), (2) are obtained, and the edge amount is calculated. This circuit also uses an area setting signal A that indicates an arbitrary shape in an image.
R' O (221-1), AR' 1 (221-2
) by coefficient registers 70-1 to 70-4.72-1
~72-4, the value of l is 1~4. i', ~14
It can be changed in four ways. For example, (A
R.O.

ARI) = (1, O), selectors 69 and 71 each have 12. 2 are selected, and each multiplier 6
5.66, so the edge amount is E=■Xk
2-12x (■+■+■+■), which results in a different sharpness emphasis as described above.

Furthermore, the coefficient 1 can be arbitrarily rewritten by CPU control as described later, and the adjustment mechanism allows subtle adjustment of the edge amount.

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, and 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 number of bits of image data is 8 bits, LUT rewriting is 256 x 4 = 1024 bytes in 4 banks of BkO to Bk3, and even if it takes 10 μsec to write 1 byte, it will take about 10 m5
End with eC. Incidentally, in the color printer of this embodiment, as shown in FIG. 6, 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 separated image is formed on a photosensitive drum while raster scanning. Sequentially formed, the corresponding developing devices (M, C, Y, K), 79-1 to 79-4
The images are developed side by side and transferred side by side onto copy paper wrapped around the transfer drum 78. After the images of four colors are superimposed on M, C, and Y, this paper is peeled off from the transfer drum. This is a full-color printer that completes one page of full-color copying by fixing with a heat-pressure fixing device 83, and the time interval between surfaces is approximately 1 to 2 seconds. Therefore, there is sufficient time to rewrite the LUT 74, so there is no problem at all. FIG. 5(b) shows an example of the characteristics to be written to the LUT 74, where O: the human power-output characteristic is linear, 1: both the highlight and shadow areas are slightly emphasized and the contrast is slightly hardened; 2: highlights are emphasized; 3: shadows are emphasized; 0 to 3 are appropriately selected by area setting signals AR'O, AR'1.

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. (Xn,
All you have to do is write the necessary value to 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, the connection between sampling points (for example, Pl and P2
．． 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. The sampling point is AI (X21 Y2)l
If AT (Xy+Y7), then 2 points A 1 + A
The straight line passing through 7 should increase by l lines in the Y direction, so =Y,
+1. Y3=Y, +2... and increases by one until it reaches Yγ. Therefore, by substituting this into equation (1), we get, for example. Since Xo is an integer, if the closest integer is selected, the coordinates of (xn, 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 specify four areas with a depth of 2 bits, so it is written as "00",
Write “01”, “10”, “11”. For example, in the case of specifying the first area, the setting of the area is completed by writing the data "Ol" to the address shown in black in FIG. .

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

87 is an area mask plane memory. For example, if the image input density is 400 dpi and it has a memory corresponding to the capacity of an entire A3 size sheet, 297 x 420 x f(25,4/400)-'
l” = 31M pixels Therefore, the memory has a capacity of 22b1tX31.The X counter and Y counter generate the X address and Y address on the memory by counting the pixel clock (248) and horizontal synchronization signal (246), respectively. 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 LCLK2, which is supplied to J/K FF91.92 only when the value is other than "0.O".
54 and supplies LCLK when it is "0.1", "1.O", and "1.1".

In other words, if the data in the memory is other than "0.0", 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...(N10n)th line area signal will be generated and will be supplied as the area signal that functions in Figure 2, Figure 4 (b), and Figure 5 (a). become.

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 an operating section for implementing the present invention. 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 M,
Assuming that C, Y, and K are set to 5.4.6.3, straight line data having the characteristics shown in FIG. 12 is stored in the density conversion RAM 74 shown in FIG. 5(a). . This printer forms images in the order of M→C→Y-, so as shown in the timing chart in Figure 13, the LUT is
By rewriting 74, the conversion characteristics are changed for each color and the color balance is adjusted. On the other hand, key 98. key 99
is an effect adjustment key and an effect registration key,
With one touch, you can adjust the colors and atmosphere of images using words that express human sensations, such as "blue", "bright", and "vivid" as displayed on the touch panel display screen 97. After adjusting the color balance and sharpness of 9 colors, register the resulting atmosphere as sensory "words", and then enter the registered character string to obtain the same effect. This is the key to make it look like this. Normally, the number of copies to be made, cassette selection, number of selected sheets of paper, variable magnification setting, etc. are displayed on the display panel screen, but these are omitted as they are not the main point of the explanation of the present invention. Now, for example, as shown in Figure 13, Y, K
(yellow, black) has a color balance of 5. M6. Suppose that when C is set to 7, an image that feels "blue" is obtained. At that time, if you register the effect using the method described below, the registered “Aoppo”
Processing parameters are automatically set by simply specifying them by inputting characters. Next, for example, for four arbitrarily shaped regions, as shown in FIG. 5(b), set the magenta color so that region 1 has a high contrast, region 2 has no light emphasis, and region 3 has a shadow emphasis. When setting the color balance to 3 and making a slightly lighter adjustment, it becomes 3 as shown in Figure 14.
Since the tone of each tone can be adjusted based on the setting (straight line Q''), even when re-adjusting to change or improve the previous adjustment, the adjustment can be made only by the amount of change.

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, such as increasing the sharpness (as shown in Figure 4 (b), changing the value of l), and increasing the amount of undercolor removal and smearing (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 Fig. 15(b), select the desired character from the character entry box provided in a part of the editor.
By touching the "Register" position, you can remove undercolor and add ink.

Each edge amount parameter is registered in the internal memory. Fig. 15(c) shows the memory contents, and shows the parameters for the above-mentioned "(clear)" adjustment, and the OCR characteristics are "■" for M, C, Y, and K. ■“
Color balance characteristics are M and C.

Y, K = ``5'', edge parameters = 5, 1 = 1
4, this is raining on the ward. Accordingly, as will be explained next, when the effect "crisp" is specified thereafter, 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, a screen 81 is displayed, 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 shape is specified, the screen changes to 82, and in this state, as shown in Figure 16(b) (when you trace the desired non-rectangular shape on the image with the editor pen, the corresponding area is After the predetermined address calculation is performed in the mask plane memory, data is written.After specifying the area, touch the "OK" part to return the screen to S.
Move on to 3. Here, we want to specify a “crisp” feeling, so enter “crisp” with the editor pen and click “O”.
Touch the ``OK'' key.
When the PU detects it, it searches for the selected “effect” using “(kuri)” as a keyword. In this case, “kuri”
1 is searched for, and "clearly" is selected as the effect. Synonyms for “Kikirito” “(Kikirito”) is also selected when character strings such as “Kukkiri ni”, “Senmeini (clear)”, and “Senmei” are input. Therefore, in screen S4, The selected effect "Kikkiri" is displayed, and when the operator confirms it with the "OK" key again, the screen moves to S5, where "Kikrito" is displayed.
It is designed to adjust the degree of In this example, sharpness refers to the degree of sharpness, so by rewriting the value of 1 in the coefficient mentioned above, it is possible to switch between multiple levels. For example, as shown in FIG. 17, kn > knit, I at addresses ADO to AD63 in the memory.
Each parameter set has 6 such that n > f nil
It is stored in 4 ways. The degree of sharpness immediately before adjustment in screen S5 in FIG. 16(a) is a coefficient, and if f is (krl, 1n>), then k in 1, 2, . . . 9 in S5.

l is each (kn-a, I!n-4) (kn-s,
i' I+-3)-(kn.

2, )...(k n+4 , i n+4). Therefore, for example, if you select "7" for the sharp adjustment, (knit, i n++) will be the fourth
It is set in registers 71 and 69 in Figure (b). This allows you to make the adjustment settings even more “(
It is now possible to make adjustments with a "clear" feeling.

The storage means for searching is provided in the RAM 21 shown in FIG. 1, and is kept nonvolatile by a battery or the like, so that the contents will not be lost even if the power is cut off.

[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 in the mask memory plane 212 based on the input area data and the parameters of the processing unit 205 based on the set color and sharpness information.

225 is a character code memory for displaying characters; 226 is a character generator for displaying characters on the display device 208; the characters to be displayed are sent to the display device 208 through an OR circuit 227; Display a screen like a). By inputting characters using a pointing device according to the instructions, operations for effect designation and registration 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 2332 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 searches for predetermined processing parameters based on the input character string, and then sets them in a predetermined register of the processing unit via bus 231 to implement this function.

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 now easy to understand and make adjustments even for operators who are not familiar with the equipment. Furthermore, it is easy to add or change functions, and costs are low because there is no need to add keys.

Furthermore, in this embodiment, the processing parameters are registered using "words" using a digitizer to register the unique names. Good too.

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) for color masking processing may be provided in parallel for each color component.

〔Effect of the invention〕

As explained above, according to the present invention, it is possible to search for processing parameters registered together with unique groups, thereby improving usability.

[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 a 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, Fig. 12, Fig. 13, and Fig. Figure 14 is a diagram explaining the setting of density conversion characteristics, Figure 15 is a diagram showing the operation procedure for effect registration, and Figure 16 is a diagram explaining the setting of density conversion characteristics.
Figure 17 is a diagram showing the operation procedure for specifying an effect, Figure 17 is a diagram showing parameters for setting sharpness, Figures 18 to 20 are diagrams explaining the conventional technology, and Figure 21 is a diagram showing the parameters for setting sharpness.
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 brain 17... Editor 18... Operation unit K (JCR Body 75 figure ((1) 躬15 figure (b) ko==6fu F! Futoneto figure 15 (C) Ro Ef 2F threshold constant / ?7 figure

Claims (5)

[Claims] (1) A processing means for processing given color image data, a storage means capable of storing a plurality of processing parameters of the processing means together with unique names, and means for searching registered processing parameters from the storage means. A color image processing device comprising: (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.