JP3206031B2 - Color image forming equipment - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a color adjusting system in a color image forming apparatus capable of independently adjusting brightness, saturation and hue.

[0002]

2. Description of the Related Art A digital copying machine converts an analog signal obtained by reading an original into digital multi-valued data, performs graininess, gradation, definition, and other image quality adjustment processes, and reproduces and records a halftone dot image. ing. Also, digital copiers use digitally converted multi-valued data to perform data processing for generating high-definition images, and can freely perform various editing using that data in memory. it can.
The present applicant has already proposed an undercolor removal method for a digital color image forming apparatus (for example, Japanese Patent Application Laid-Open No. 2-118680).
The outline is described below.

FIG. 7 is a diagram showing a configuration example of a digital color image forming apparatus. In FIG. 7, an IIT (image input terminal) 100 separates light into primary colors B (blue), G (green), and R (red) using a CCD line sensor, reads a color original, and converts this into a digital image. Converts to data, IOT (image output terminal)
Reference numeral 115 denotes exposure and development by a laser beam to reproduce a color image. IIT100 and IOT1
15 from the END conversion circuit 101 to the IOT interface 110, the editing processing system (IP
S; image processing system)
The B, G, and R image data are converted to toner Y (yellow), M
(Magenta), C (cyan), and further K (black or black), and outputs a toner signal corresponding to the development color for each development cycle. Here, when the color separation signals (B, G, R signals) are converted into toner signals (Y, M, C, K signals), how to adjust the color balance, the reading characteristics of the IIT, and the IOT The problem is how to reproduce the color in accordance with the output characteristics, how to adjust the balance of density and contrast, and how to adjust edge emphasis, blur, and moire.

In the IIT 100, one pixel is read at a size of 16 dots / mm for each of B, G, and R using a CCD sensor, and the data is output in 24 bits (3 colors × 8 bits; 256 gradations). ing. CC
The D sensor has B, G, and R filters mounted on the upper surface, has a length of 300 mm at a density of 16 dots / mm, and has a length of 1 mm at a process speed of 190.5 mm / sec.
Since scanning is performed at 6 lines / mm, read data is output at a rate of 15 M pixels per second for each color. In the IIT 100, the analog data of the B, G, and R pixels are log-converted, so that the reflectance information is converted into density information, and further converted into digital data.

The IPS receives color separation signals of B, G, and R from the IIT, and performs various data processing to improve color reproducibility, gradation reproducibility, definition reproducibility, and the like. Converts the toner signal of the process color to on / off and outputs
An END conversion (Equivalent Neutral Density) module 101 for outputting (outputting) to the OT and adjusting (converting) to a gray-balanced color signal as shown in FIG. 7, matrix calculation of the B, G, and R signals The color masking module 102 converts the signal into a signal corresponding to the toner amounts of Y, M, and C, and detects the original size at the time of pre-scanning, and erases the platen color at the time of original reading scan (frame erasing). A detection module 103, a color conversion module 10 for converting a specified color in a specific area according to an area signal input from the area image control module;
4. Produce an appropriate amount of K so as not to cause color turbidity, reduce Y, M, and C by an equal amount according to the amount, and also produce a K signal and Y, M according to each signal of a mono color mode and a full color mode. , C, UCR (Under Color Remover) & black generation module 105 that gates the signal after the under color removal, a spatial filter 106 having a function to recover blur and a function to remove moiré, TRC (Tone Rep) that performs density adjustment, contrast adjustment, negative / positive inversion, color balance adjustment, etc. for improvement
roduction Control; color tone correction control) module 10
7. Scaling processing module 1 for performing scaling processing in the main scanning direction
08, a screen generator 109 that converts a process color tone toner signal into an on / off binary toner signal and outputs the binary toner signal, an IOT interface module 11
0, an area image control module 111 having an area generation circuit and a switch matrix, an area command memory 112
And an editing control module having a color palette video switch circuit 113, a font buffer 114, and the like.

[0006] Then, for the color separation signals of B, G, and R from the IIT 100, 8-bit data (25
6 gradations) is input to the END conversion module 101, and Y,
After conversion into the M, C, and K toner signals, the process color toner signal X is selected, binarized and output as on / off data of the process color toner signal from the IOT interface module 110 to the IOT 115. I have. In the case of full color (four colors), after the original size detection, the editing area detection, and other original information are detected by pre-scanning, for example, first, a copy cycle in which the toner signal X of the development color is Y, Each time a copy cycle in which the toner signal X of the developed color is set to M is performed sequentially, signal processing corresponding to four document reading scans is performed.

[0007]

As described above, in the conventional digital color image forming apparatus and the like, color separated B,
Y, M, and C, which are the primary colors of subtractive color mixture (such as a printer), are generated from the G and R signals, and color adjustment is performed by changing the tone curve. In color adjustment, the brightness (V
alue), chroma (Chroma), and hue (Hue) are intended to be adjusted independently. However, if the color adjustment is simply performed by simply correcting the Y, M, and C tone curves, the brightness, Saturation and hue change. In other words, brightness,
There is a problem that saturation and hue cannot be adjusted independently and it is difficult to perform intended adjustments with these.

[0008] The present invention solves the above-mentioned problems, and comprises H, V, C adjustment, gray balance adjustment, and YMC.
It is an object of the present invention to provide a color adjustment method in a color image forming apparatus which can realize low-cost and accurate density adjustment by adding simple hardware. Another object of the present invention is to enable simple and versatile color adjustment by adjusting coefficients and constant terms using the linearity of 3 × 3 + constants.

[0009]

For this purpose, the present invention provides color conversion means for converting an input signal into a uniform color space signal, matrix operation means for performing color adjustment on the uniform color space signal, Adjustment information input means capable of inputting a plurality of types of adjustment information relating to adjustment, wherein the matrix calculation means uses a matrix coefficient determined based on the plurality of types of adjustment information to obtain the uniform color signal. A color conversion means for converting an input signal into a uniform color space signal, a matrix operation means for performing a color conversion on the uniform color space signal into an output signal, and color adjustment. Adjustment information input means capable of inputting a plurality of types of adjustment information, wherein the matrix calculating means changes a matrix changed based on the plurality of types of adjustment information. Using the box coefficient, it is characterized in that the color converting the uniform color signal.

[0010]

In the color image processing apparatus of the present invention, color conversion means for converting an input signal into a uniform color space signal, matrix calculation means for performing color adjustment on the uniform color space signal, Adjustment information input means capable of inputting the type of adjustment information, wherein the matrix operation means uses a matrix coefficient determined based on the plurality of types of adjustment information, and It is characterized by performing color adjustment, and color conversion means for color-converting an input signal into a uniform color space signal, matrix calculation means for color-converting the uniform color space signal into an output signal, and a plurality of types of color adjustment. Adjusting information input means capable of inputting adjustment information, wherein the matrix calculating means includes a matrix which is changed based on the plurality of types of adjustment information. Using the number, so characterized by color converting the uniform color signal, it can be performed once lightness, chroma, adjustment of the hue by matrix operation.

[0011]

Embodiments will be described below with reference to the drawings.
FIG. 1 is a view for explaining one embodiment of a color adjustment method in a color image forming apparatus according to the present invention. In FIG. 1, when reading is performed after color separation by a CCD sensor, a shading correction circuit 1 corrects each pixel for deviations between BGR pixels, variations between chips, variations between pixels in a chip, unevenness in light amount, and the like. Things. The L ^* conversion circuit 2 converts a reflectance signal read by the CCD sensor into a lightness scale signal L ^* bgr,
The L ^* a ^* b ^* conversion circuit 3 converts the brightness signal L ^* bgr into a standard system value (L ^* a ^* b ^* ) signal. Here, the lightness is represented by the L ^* axis of the system value, and the saturation and hue are represented by a two-dimensional plane of the a ^* axis and the b ^* axis orthogonal to the L ^* axis. The HC conversion circuit 4 generates H and C signals from a system value (L ^* a ^* b ^* ) signal. The color adjustment circuit 5 has a function of H + ΔH, V + ΔV or β
The a ^* b ^* conversion circuit 6 performs color adjustment based on V and γC, and further performs color recognition and conversion processing. The a ^* b ^* conversion circuit 6 performs reverse conversion from HC to a ^* b ^* for the HC conversion circuit 4. It is. The YMC conversion circuit 7 calculates the system value (L ^* a ^*
b ^* ) is converted into Y, M, C of the recording signal,
The UCR 8 performs a process of generating an appropriate amount of K so as not to cause color turbidity and reducing Y, M, and C according to the amount. The TRC conversion circuit 9 performs color balance adjustment, contrast adjustment, negative / positive inversion, and the like.

FIGS. 2 to 4 show another embodiment of the color adjustment system in the color image forming apparatus according to the present invention. For example, the following equation is applied to the conversion from the system value L ^* a ^* b ^* to HVC. V = f (L ^* ) C = (a ^{* 2} + b ^{* 2} ) ^1/2 H = tan ⁻¹ (| b ^* | / | a ^* |) a ^* > 0, b ^* > 00 a ^* ≧ 0 , B ^* = 0 360−tan ⁻¹ (| b ^* | / | a ^* |) a ^* > 0, b ^* <090 a ^* = 0, b ^* > 0 270 a ^* = 0, b ^* <0 180−tan ⁻¹ (| b ^* | / | a ^* |) a ^* <0, b ^* > 0 180 a ^* <0, b ^* = 0 180 + tan ⁻¹ (| b ^* | / | a ^* |) a ^* <0, b ^* <0 Therefore, color adjustment by L ^* a ^* b ^* can be performed in the same manner as in the case of HVC. That is, the brightness adjustment can be performed by the calculation of L ^* × ΔL1 + ΔL2. Similarly, the saturation adjustment can be performed by the calculation of a ^* × ΔC and b ^* × ΔC. a ^* out = a ^* × cos θ−b ^* × sin θ b ^* out = a ^* × sin θ + b ^* × cos θ FIG. 2 shows an example of a configuration for performing such color adjustment.

[0013] In FIG 2, the brightness adjustment unit 11 constituting the color adjustment unit is for changing the L ^* a L ^* × .DELTA.L1 + [Delta] L2, the saturation adjustment unit 12, a by a ^* × ΔC ^*
The change, chroma adjustment unit 13 is to vary the b ^* by b ^* × [Delta] C. Then, the hue adjustment unit 14 sets a ^* × co
The sθ and hue adjustment unit 15 performs signal conversion of −b ^* × sin θ, and the adder 18 adds these to adjust the hue a ^*
out, and the hue adjustment unit 16 uses a ^* × si
The nθ and hue adjustment unit 17 performs signal conversion of b ^* × cos θ, and the adder 19 adds these to adjust the hue of b ^* o.
ut.

By the way, when the calculation for the above adjustment is performed, L ^* takes a positive range of, for example, 0 to 100.
^* Takes a negative range, such as -100 to 100, and b ^* takes a range from -80 to 120. Therefore, 0 to 255 in 8 bits
The following conversion is performed by the conversion circuit 3 in order to perform the operation as it is with the input signal. For that, B
The result of matrix operation of the following conversion is set as a parameter for the conversion coefficient of GR → L ^* a ^* b ^* . Where L ^*
ori, a ^* ori, b ^* ori are standard system values that are not quantized, L ^* in, a ^* in, b ^* i
n represents a quantized 8-bit signal. Also,
L ^* _mm = L ^* _max- L ^* _min , a ^* _mm = a ^* _max-
a ^* _min , b ^* _mm = b ^* _max− b ^* _min .

[0015] The conversion circuit 7 ″ indicates an L ^* a ^* b ^* → L ^* ymck conversion circuit, and quantizes standard system values, L ^* in, a ^* in, b ^* in to Y, M, C,
This is a circuit for converting into a K signal. Conversion circuit 7 ″ is L ^* a
^In the case of the configuration of the ^* b ^* → YMC conversion circuit 7 and the UCR circuit 8, the conversion circuit 7 quantizes L ^* a ^* b ^* → L ^* in, a ^* in, b ^* into a conversion coefficient to YMC ^. The values obtained by performing a matrix operation on the following conversion coefficients to be returned to "in" are set as parameters. In this way, standard system values can be quantized and handled.

[0016] In consideration of such a situation, the color adjustment unit uses the LUT (Look)
Up Table), and a ^* b ^* two L
Simultaneously set the UT to adjust the saturation and a ^* b ^*
By separately adjusting the LUTs, gray balance adjustment can be performed. In this case, it can be constituted by seven 256-byte memories and two adders. On the other hand, in the example shown in FIG. 1, since a two-dimensional LUT is used for the HC conversion circuit 4 and the a ^* b ^* conversion circuit 6, a large-capacity memory of 128 kbytes is required for an 8-bit signal.

Considering the above color adjustment as a matrix, the brightness adjustment is Saturation adjustment Hue adjustment is assuming that cos θ is ΔH1 and sin θ is ΔH2. And the gray balance adjustment is Becomes Therefore, , The color adjustment of lightness, saturation, hue, and gray balance can be performed. That is, 3 × 3
Color adjustment can be performed by changing the coefficient and constant term of + Constant. Therefore, 3 * 3 + Constant by the L ^* a ^* b ^* conversion circuit or the YMC conversion circuit.
FIG. 3 shows a configuration example in which the color adjustment is realized by changing the coefficient and the constant term of.

In FIG. 3, an L ^* a ^* b ^* conversion circuit 3 '
Is the standard system value (L ^* a ^*) from the BGR signal ^.
b ^* ) is a first color conversion circuit for converting a signal
The conversion circuit 7 'has a standard system value (L ^* a ^* b).
^* ) A second color conversion circuit for converting a signal into a YMC signal. Then, by changing the coefficient and constant term of 3 × 3 + Constant of the L ^* a ^* b ^* conversion circuit 3 'or the YMC conversion circuit 7', color adjustment of lightness, saturation, hue, and gray balance is performed.

The method of calculating the coefficient and the constant term is determined by the conversion circuit 3 '.
In this case, a matrix operation for color adjustment is performed on the BGR → L ^* a ^* b ^* conversion coefficient, and then a matrix operation is performed on the L ^* a ^* b ^* quantization conversion coefficient.

When the conversion is performed by the conversion circuit 7 ', a matrix operation of color adjustment is performed on the conversion coefficient for inverse quantization, and then a matrix operation is performed on the conversion coefficient of L ^* a ^* b ^* → YMC.

By the way, 3 × 3 + Constan
It is considered that the amount of the color material is adjusted by YMC gamma conversion using the property of t (referred to as density adjustment). For this purpose, the following conversion formula is used. This conversion formula is a parameter that is obtained by performing a matrix operation on the parameter that has been subjected to the above-described inverse quantization, color adjustment, and conversion from L ^* a ^* b ^{* to} YMC, and is a parameter to be newly set. By doing so, Y
The adjustment including the density adjustment of the MC can be performed by the same processing circuit.

[0022] The example shown in FIG. 4 further comprises a BGR → YMC conversion circuit 21 in which an L ^* a ^* b ^* conversion circuit 3 ′ and a YMC conversion circuit 7 ′ are integrated into one, where 3 × 3 + Constant coefficient and constant term Is changed, color adjustment and density adjustment of lightness, saturation, hue, and gray balance are performed. In this case, the operations of quantization and inverse quantization are not included.

Incidentally, specific values of the quantization are as follows.
When quantizing the range of L ^* a ^* b ^{* to} the range of n bits, MIN and MAX of L ^* a ^* b ^* are respectively set to 0.0 ≦ L ^* _min ≦ 20.0, 80.0 ≦ L ^* _max ≦ 100.0−100.0 ≦ a ^* _min ≦ −60.0, 60.0 ≦ a ^* _max ≦ 100.0−80.0 ≦ b ^* _min ≦ −40.0, 80.0 ≦ b ^* _A range where _max ≦ 120.0 is selected, and L ^* ′ = (2 ⁿ¹ −1) × (L ^* −L ^* _min ) / (L ^* _max− L ^* _min ) a ^* ′ = (2 ⁿ² −1) ) × (a ^* −a ^* _min ) / (a ^* _max− a ^* _min ) b ^* ′ = (2 ⁿ³ −1) × (b ^* −b ^* _min ) / (b ^* _max− b ^* _min ) The conversion equation is used to quantize to n (n1 to n3) bits. However, the respective MIN and MAX can be exchanged.

In this case, if the range of L ^* a ^* b ^* is unnecessarily large, a quantization error is increased in image quality and a pseudo contour is easily generated. On the other hand, if it is too small, gradation collapse and jumping are likely to occur. In order to avoid such defects, the range was selected in consideration of the color reproduction range of the actual printing ink, color toner, and photographic color material.

Considering that the numerical values in the L ^* a ^* b ^* space have equal weights to human eyes, when quantizing the range to n bits, a ^* and b ^* To L
^If the quantization bit of ^* is set to +1 bit, even if the range of a ^* and b ^* is just twice as large as the range of L ^* , even weighting can be considered by setting it to +1 bit, and the color information There is an effect that it is not dropped.

The quantized n-bit L ^* a ^* b
^* Inverse quantization to when the L ^* a ^* b ^* of the MIN, to match the gamut of the output, respectively MAX, range tailored to the performance of the output device by the inverse quantization with different values and the value of the normal You can do the conversion. For example, L ^* _min = 15.0, L ^* _max = 95.0 a ^* _min = -80.0, a ^* _max = 80.0 b ^* _min = -60.0, b ^* _max = 100.0 When in the normal quantization range, L ^* _min = 25.0, L ^* _max = 95.0 a ^* _min = -70.0, a ^* _max = 70.0 b ^* _min = -50.0, By changing the range such as b ^* _max = 90.0, the fidelity of color reproduction is reduced, but it is possible to make adjustments to enrich the gradation by making use of the output reproduction range.

When setting for performing color adjustment on the LSI of the color adjustment unit as described above, the system that performs the setting converts the 3 × 3 + Constant coefficient and constant term into density, saturation, and hue color. If all parameters are stored as parameter ROMs according to the correction levels and the settings are made using the parameter ROMs, the density adjustment is 7 levels, the saturation adjustment level is 5 levels,
Assuming that the hue has 5 levels, there are 7 × 5 × 5 = 175 combinations. Therefore, for example, in order to have a coefficient and a constant term of 48 bytes per type, a total memory capacity of 8400 bytes is required.

Therefore, if only one kind of reference coefficient and constant term is provided and each coefficient and constant term is obtained by calculation, a 48-byte coefficient and constant term can be combined with one kind of several tens bytes. Since the calculation parameters may be used, the capacity of the parameter ROM on the system side for setting the LSI of the color adjustment unit can be reduced. Furthermore, if you have data in fixed-point format,
The processing speed of the calculation can be increased, and the cost can be reduced without requiring a dedicated calculation processor. The calculation method will be described below.

[0029] Assuming that the reference has a coefficient and a constant term, the coefficient and the constant term a ^′ _n0 , which are calculated by the respective levels,
a ^′ _n1 , a ^′ _n2 , A ^′ _n (where n: 0 to 2) are as follows.

[0030] ^{_{a 'n0 = dd0 × a n0}} a' n1 = dd0 × dc × (a n1 × huecos + huesin) a 'n2 = dd0 × dc × (-a n1 × huesin + huecos) A' n = dd0 × [a n1 × uabuf × {dc × (AMIN × huecos-BMIN × huesin) -AMIN} + a n2 × ubbuf × {dc × (AMIN × huesin-BMIN × huecos) -AMIN} + A n] + dd1 However, in the above equation, a: calculated Reference color correction coefficient used for A: Reference constant term used for calculation dc: Saturation adjustment 5 levels dd0: Density adjustment (correction coefficient) 7 levels dd1: Density adjustment (constant term) 7 levels huecos: Hue adjustment 5 Level huesin: 5 levels of hue adjustment uabuf, ubuf, AMIN, BMIN: constant AMIN × huecos−BMIN × huesin: 5 levels of hue adjustment AMIN × huesin−BMIN × huecos: 5 levels of hue adjustment. The above equation is an example of density, saturation, and hue adjustment, but it goes without saying that adjustment of lightness and gray balance may be included.

Next, calculation and setting processing of coefficients and constant terms will be described. FIG. 5 is a diagram illustrating a configuration example of a calculation module of the color correction process, and FIG. 6 is a diagram illustrating a flow of calculation and setting of the color correction process.

As shown in FIG. 5, the module configuration for performing the above-described color correction processing includes a control section 31, a parameter ROM selection processing section 32, and a fixed-point conversion processing section 3.
3, a coefficient and constant term calculation processing unit 34, and a register setting processing unit 35. The control unit 31 controls each processing unit. When density level information, hue level information, saturation level information, and color mode information are input to the control unit 31, the correction level information is converted into a parameter ROM selection process. To the unit 32. The parameter ROM selection processing unit 32 performs density adjustment,
A process for selecting parameter ROM values necessary for hue adjustment and saturation adjustment is performed. Conversion unit 33 to fixed point
Is the parameter RO given from the control unit 31
The parameter is converted into a designated fixed-point position based on the M value and the decimal-point position information. The coefficient and constant term calculation processing unit 34 calculates coefficients and constant terms from the data converted to the fixed-point position and the color mode information. The register setting processing unit 35 calculates the calculated coefficients and constants. The term is set in the register.

As shown in FIG. 6, the flow of calculation and setting by the above module is as follows. First, a matrix coefficient and a constant term as a reference are taken out from the parameter ROM value (step S1), and each level information of density, hue and saturation is obtained. Is obtained (step S2). Then, a parameter R required for density adjustment
An OM value, a parameter ROM value necessary for hue adjustment, and a parameter ROM value necessary for saturation adjustment are selected (steps S3 to S5).

Next, the selected parameter is converted into a designated fixed-point position (step S6), and the color mode is checked (step S7).

When the color mode is the 4/3 color mode, the calculation processing of the matrix (3 × 3) coefficient and the calculation processing of the matrix constant term (3 × 1) are performed (step S).
8 to S9), and in the case of monocolor, the matrix (1
× 3) Calculation of coefficients and matrix constant term (1 ×
The calculation processing of 1) is performed (steps S10 to S11).

Thereafter, the fixed-point data of the coefficients and constant terms obtained by the calculation are converted into a register setting format (step S12), and the coefficients and constant terms obtained by the calculation are set in the register (step S13).

It should be noted that the present invention is not limited to the above embodiment, and various modifications are possible. For example, in the above embodiment, L ^* is used as a standard system value signal ^.
Although a ^* b ^* is used, another system value signal such as YCrCb or YES may be used. It goes without saying that the same is true even if the number of bits is different.

[0038]

As is apparent from the above description, according to the present invention, color conversion means for color-converting an input signal into a uniform color space signal, and matrix operation means for performing color adjustment on the uniform color space signal And an adjustment information input unit capable of inputting a plurality of types of adjustment information relating to color adjustment, wherein the matrix operation unit uses a matrix coefficient determined based on the plurality of types of adjustment information to generate a uniform color signal. A color conversion means for performing color conversion of an input signal into a uniform color space signal, a matrix operation means for performing color conversion of the uniform color space signal into an output signal,
Adjustment information input means capable of inputting a plurality of types of adjustment information relating to color adjustment, wherein the matrix operation means uses a matrix coefficient changed based on the plurality of types of adjustment information to color the uniform color signal. Since the conversion is characteristic, the brightness, saturation, and hue can be adjusted at once by a matrix operation.

[Brief description of the drawings]

FIG. 1 is a diagram for explaining one embodiment of a color adjustment method in a color image forming apparatus according to the present invention.

FIG. 2 is a diagram for explaining another embodiment of the color adjustment method in the color image forming apparatus according to the present invention.

FIG. 3 is a diagram for explaining another embodiment of the color adjustment method in the color image forming apparatus according to the present invention.

FIG. 4 is a diagram for explaining another embodiment of the color adjustment method in the color image forming apparatus according to the present invention.

FIG. 5 is a diagram illustrating a configuration example of a calculation module of a color correction process.

FIG. 6 is a diagram for explaining a flow of calculation and setting of a color correction process.

FIG. 7 is a diagram illustrating a configuration example of a digital color image forming apparatus.

[Explanation of symbols]

1: Shading correction circuit, 2: L ^* conversion circuit 2, 3
... L ^* a ^* b ^* conversion circuit, 4 ... HC conversion circuit, 5 ... color adjustment circuit, 6 ... a ^* b ^* conversion circuit, 7 ... YMC conversion circuit,
8 UCR, 9 TRC conversion circuit

──────────────────────────────────────────────────続 き Continuation of the front page (72) Inventor Yoshihiro Terada 2274 Hongo, Ebina-shi, Kanagawa Fuji Xerox Co., Ltd. Ebina Works (56) References JP-A-63-151267 (JP, A) JP-A-2-2 100184 (JP, A) JP-A-4-150469 (JP, A) (58) Fields investigated (Int. Cl. ⁷ , DB name) H04N 1/60 H04N 1/46

Claims (2)

(57) [Claims] 1. A color conversion unit for performing color conversion of an input signal into a uniform color space signal, a matrix operation unit for performing color adjustment on the uniform color space signal, and a plurality of types of adjustment information relating to the color adjustment are input. Adjustment information input means, wherein the matrix calculation means performs color adjustment on the uniform color signal using a matrix coefficient determined based on the plurality of types of adjustment information. Color image processing apparatus. 2. A color conversion means for performing color conversion of an input signal into a uniform color space signal, a matrix operation means for performing color conversion of the uniform color space signal into an output signal, and inputting a plurality of types of adjustment information relating to color adjustment. A color image, wherein the matrix operation means performs a color conversion of the uniform color signal by using a matrix coefficient changed based on the plurality of types of adjustment information. Processing equipment.