JPH0251979A - Color image processor - Google Patents

Abstract

PURPOSE:To realize the adjustment of a color responding to the favor of a user by converting input color image data to color space data matched to the vision and sense of the user and reproducing a color image based on the color space data. CONSTITUTION:An input image signal is converted to the color space data matched to the vision of the user by a color space converter 6, and the control quantities of respective attribute data (brightness, hue and saturation) of the color space data are instructed by the user with direct attribute data by means of a color adjustment instructor part 7. Respective attribute data of the color space data are adjusted corresponding to the quantities instructed by the user by means of a color adjustor 8. The color-adjusted color space data are converted to the color image data matched to a color image preparing part 13 by a color space converter 11. Thus, the adjustment and operability of the color are improved, and the adjustment of the color responding to the favor of the user can be executed without being restricted by an image input device and an image output device.

Description

DETAILED DESCRIPTION OF THE INVENTION [Industrial Application Fields] The present invention provides a method for inputting a color image signal to perform color adjustment,
The present invention relates to a color image processing device that converts color image data to form a color image.

[Prior Art] Generally, color image data is obtained by optically color-separating a color image and converting each into electrical signals, but generally three color signals, three primary color signals (ER, E
a, Ea). Here, signal E
I? + E o and E s are signals representing the intensities of red, green, five blue colors, and are largely dependent on the characteristics of the optical filter for color separation, that is, the characteristics of, for example, the image input device. Therefore, in a color image forming apparatus that forms a color visible image based on three primary color signals (ER, Ea, Ea), it is necessary to reproduce the color image in accordance with the characteristics of the image input device. An example of such a system is a television system, which takes into consideration the characteristics of a video camera, which is an image input device, and the characteristics of a television monitor (receiver), which is an image forming device. Furthermore, in a color copying machine, the color characteristics of a color league, which is a color image input device, and a color printer, which is a color image forming device, are taken into account and the input color image is reproduced.

The color printer of such a copying machine receives color image data input from a source other than the color league (an image input device with different characteristics) (for example, a color image signal from a video camera used in a television system, etc.). ), some adjustment is required since the color characteristics of the image signal are different from those in normal copying.

[Problems to be Solved by the Invention] Generally, in a closed system such as a color copying machine in which a color image input device and a color image forming device are combined on a one-to-one basis, it is difficult to match the color characteristics. However, in an open system in which a plurality of different types of color image input devices can be connected to one color image forming device, it is not easy to match the color characteristics as described above.

In addition, color image data read by a color image input device with unclear color characteristics is recorded on package media such as a VTR cassette tape, and the color image data played back by a player such as a VTR (video tape recorder) is printed on a color printer. When outputting to an image, it is not easy to match the color characteristics because the color characteristics of the target image input device are unknown.

Further, color image data of a color image input device is generally represented by three primary color signals (ER, EQ, Ea). For this reason, it is relatively easy to match and adjust the color characteristics of a television monitor that forms a color image by additive color mixing of three light sources (red, green, and blue); Color printers that form color images by subtractive color mixing of three primary color signals (ER; cyan).

It is necessary to convert the image data from Ea, Ea) to signals Ey, Ei, Ec that control ii of the three dyes (Y, M, C). In this case, the transmission characteristics of the system are particularly complex, and the matching and adjustment of the color characteristics becomes complicated.

As explained above, conventional color image forming apparatuses match color characteristics to match the characteristics of a specific color image input device, so color images from multiple color image input devices having various color characteristics are When outputting color image data to a color image forming apparatus to form an image, the characteristics of the data and the color image input device that input the color image are unclear, the color characteristics will not match well, so the color reproducibility and There was a problem in that reproducibility decreased in terms of color tone and brightness. In addition, such color printers are provided to users after being adjusted in advance to correspond to the color characteristics of each color image input device, but due to the complexity of the adjustment and the color characteristics depending on the user's preference. There were problems such as difficulty in adjustment.

The present invention has been made in view of the above-mentioned conventional example, and by converting input color image data into color space data that matches the visual sense and sense of the user, and reproducing a color image based on the color space data, It is an object of the present invention to provide a color image processing device capable of forming an image by adjusting colors according to a user's preference, regardless of the characteristics of a color image input device that inputs color image data.

[Means for Solving the Problems] In order to achieve the above object, a color image processing device of the present invention has the following configuration. That is, it is a color image processing device that inputs a color image signal, converts it into color image data for image formation, and outputs it, the first color converting the input image signal into color space data suitable for the user's vision. space conversion means; color adjustment instruction means for allowing a user to directly instruct a control amount of each attribute data of the color space data using attribute data; a color adjustment means that adjusts according to the amount of
and second color space converting means for converting the color-adjusted color space data into color image data suitable for the color image forming section.

[Function] In the above configuration, the input image signal is converted into color space data suitable for the user's vision, and the user can directly control the amount of control of each attribute data of the color space data by using the color adjustment instruction means. Instruct. In accordance with the user's instructions, each attribute data of the color space data is adjusted in accordance with the amount instructed by the user. This color-adjusted color space data is converted into color image data suitable for the color image forming section.

[Embodiments] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[Description of Color Image Processing Apparatus (FIG. 1)] FIG. 1 is a block diagram showing a schematic configuration of a color image processing apparatus according to an embodiment.

In the figure, reference numeral 1.2 denotes a color image input device such as a color league that reads and photoelectrically inputs a color original image, and the two image input devices may have different color characteristics. Reference numeral 3.4 denotes an interface unit that performs timing and signal matching between each of the color image input devices 1 and 2 and an image processing unit including various adjustment units described later. 5 is the signal (here, the input three primary color signals E R1, E a+,
This is a gradation adjustment section that compares and adjusts the gradation of E s+) and converts them into corresponding three primary color signals E, , E, , EB, and outputs them.

6 is the gradation-adjusted three primary color signals E,,E,.

This is a color space converter that converts Ea into color space data (L, H, S) that matches the vision and sense of the user (human).

Reference numeral 7 denotes a color adjustment instruction section into which color adjustment instructions are input by the operator, and 8 is a color adjuster that adjusts color space data (L, H, S) according to instructions from the color adjustment instruction section. 9 is a statistical analyzer that calculates the statistics of color space data of pixels before and after the target pixel to be color adjusted; 10 is a color CR that displays the statistics obtained by the statistical analyzer 9 and displays the actual color image;
This is a display section such as T.

11 is color space data (L',
H', S') are adapted to the color image forming section 13 (in this case, signals EY for controlling the amounts of pigments Y, M, and C)
, E, , EC), 12 is a color space converter that converts the signal E
EYO that corresponds to each signal by comparing Y, EM, and Ec and adjusting the gradation.

E+o, gradation adjustment section that outputs the Eco signal, 13 is E
This is a color image forming unit using, for example, an electrophotographic method or a thermal transfer method, which converts color image data into a color visible image based on the yo, EMo+Eco signals.

With the above configuration, the color image input devices 1 and 2 read a color original and output color image signals converted into electrical signals to the interface units 3 and 4. The ink face sections 3 and 4 match the timing with the subsequent processing and convert the color image signal into three primary color signals E, lI*E (11, E61) of red, green, and blue.

Further, when the color image signal outputted by the color image input device is an analog signal, the interface unit 3.4 is
/D conversion is performed to convert it into a digital signal and output it.

Therefore, the interface section 2.3 is highly dependent on the characteristics and configuration of the color image input device 1.2 and has characteristics corresponding to the corresponding color image input device 1 or 2, respectively. The three primary color signals E R1°E a + and E e I outputted from the interface section 3 or 4 are tone-adjusted by the tone adjustment section 5 to become three primary color signals ER, Ea.
, Ee. Here, especially when the purpose is to output to a television CRT, the three primary color signals E RI,
Since γ correction has been performed on E a r and E a r in advance in consideration of the γ characteristics of CRT, the gradation adjustment section 5
Perform the inverse correction.

Furthermore, when the color image input device 1.2 outputs the reference white or the reference point, the gradation adjustment unit 5 adjusts the three primary color signals ER, Ea, and Ee to 8.
When quantizing with bits, for standard white ER = Ea =
Ea = 255 (level), ER = Ea at the reference point
Adjust to =Ea =O. Such gradation adjustment can be implemented using a RAM or ROM using a look-up table method. The three primary color signals ER, E, , F adjusted in this way
l is converted by a color space converter 6 into data in a color space that matches the human (user's) vision and senses.

[Explanation of color space conversion method (Figure 2)] Here we show an example of a conversion method for converting color space.Here, we will explain the degree of brightness such as bright or dark as a color space that matches human vision and senses. The three attributes are brightness, hue H, which represents hues such as red, yellow, green, blue, and purple, and saturation S, which represents the degree of vividness of a color, such as lightness or vividness. A color space represented by a cylindrical coordinate system as shown in the figure is used.

Here, the three primary color signals ER, Ea, and Ea are 5=fs
(ER, Ea, Ee) A method of directly converting as J is also considered. Here, fI, fz, and fs each represent a function. In addition, the three primary color signals ER, Ea
, Ea are digital signals, so the number of density levels is also limited. In other words, for example, in the case of 8-bit quantization, the number of levels is "256".Therefore, since the relationship in equation 1 can be expressed in a table (lookup table), the RA
The color space converter 6 can be configured using M and ROM.

An example of a method for obtaining this lookup table is shown below.

First, it is necessary to decide what color the three primary color signals E*, Ea, and Ea express. However, depending on the color characteristics of the color image input device 1.2, the gradation of the three
It is expected that the primary color signals ER, Ea, and EB are different from the colors to be imaged, and it is not possible to completely relate the three primary color signals ER, Ea, and Ea to the colors to be imaged.

Therefore, since a television camera, which is one of the color image input devices, is usually intended for display on a color television receiver, the three primary color signals ER, Ea, and E are used here.
It is assumed that the color represented by a corresponds to the color reproduced by a color television receiver. Generally, among color image output devices, color television receivers have a relatively wide color reproduction range, so even if the colors of a color image are assumed in this way, color correction can be performed in subsequent processing.

The color coordinates of the phosphor of a color television receiver are xR, yRZR), (Xa, :Ja) for red, green, and blue, respectively.
, Za), (Xa, 3'a.

za), and the color coordinates of the basic stimulus are (xw.

yw, Zw), these are known values or measurable values, and are on the chromaticity coordinates in the CIE1931XYZ color system.

Therefore, the XYZ color system and the three primary color signals ER and Ea.

The conversion formula for Ea is generally as follows.

Nine equations can be obtained from the color coordinates of the phosphor and the basic stimulus, and the matrix M1 is: where M I-' is the inverse matrix of M. In addition, xy represents the color that is the basic stimulus (standard white)
The coordinates of the z color system are (xw, YW.

Z, ), and the three primary color signals ER, Eo, E, l
is Err = Ea = Ea = for standard white color
It is often adjusted so that it remains constant.

Next, from the XYZ color system, CIE197, which is a uniform color space,
Convert to 6L"u"v'.

You can ask for more. Therefore, the three primary color signals ER, E
Formula for converting a, Ea to xyz color system, where u
'・4X/(X+15Y+3Z)v'・9Y/(X
+15Y+3Z) Such a uniform color space is CIE197
6.

In addition to "u'v", there is CIE1976L"a"b'. In such a uniform color space, the coordinate axes L" and u "V" are orthogonal coordinate systems, and the coordinate system converted to a cylindrical coordinate system is This is the LH3 coordinate system.

The conversion is L=L'H=jan-'(v'/u”) Equation (5)
However, the quantization steps of L, H, S and L″, U
The quantization steps of ``, V'' are not necessarily equal, and as a uniform color conversion, CrE1976L'a' b
” can also be used.

It is possible to create data representing the relationship in equation (1) from a series of transformations from equations (2) to (5), and to harden the data representing each step of this series of transformations. The color space converter 6 can also be configured by combining a plurality of steps into hardware.

The image data (L, H, S) converted into the LHS color space by the color space converter 6 is input to the color adjuster 8. This color adjuster 8 uses image data (L) in the default state when starting up or resetting the device.

H, S) are set to be output to the color space converter 11 without being adjusted. As will be described later, when the operator instructs the color adjuster 8 to perform color adjustment from the color adjustment instruction device 7, the color adjuster 8 color-adjusts the input image data (L, H, S) according to the instruction. , image data (L'
, H', S') to the color space conversion unit 11.

On the other hand, the statistical analyzer 9 uses image data (L, H).

The frequency distribution and statistical data (average value, mode, maximum value, minimum value, etc.) of S) are determined and displayed on the display unit 10. The operator, who is the user, displays the display data 10 on the display unit 10.
to be displayed. The operator who is the user instructs the color adjustment from the color adjustment instruction section 7 while referring to the display data on the display section 10.Furthermore, the statistical analyzer 9 inputs the color adjusted image data (L', H', Similarly, for S'),
The statistical data and frequency distribution are obtained and displayed on the display unit 10, and the operator performs color adjustment with reference to the display on the display unit 10. When performing this color adjustment, lightness, hue, H, and saturation S, which are attributes of the LHS color space, can be adjusted independently.

Image data (L'H', S'
) or unadjusted image data (L, H, S) is converted by the color space converter 11 into reproduced image data (E, , E, , Ec, Ex) in the color image forming section 13 .

The conversion formula at this time is expressed by the following relational formula, and it is also possible to create a lookup table based on this formula.

This conversion formula depends on the color image forming method of the color image forming section 13 and can be determined in advance within a certain accuracy range. Note that EY, El, 1, Ec, and Ex each represent a color (yellow, magenta, etc.) of a coloring material (toner, ink, etc.) used in the image forming section 13.

This corresponds to the density control signal for cyan and black).

Next, image data (Ey, EM, Ec, EK
) are each subjected to gradation adjustment in the gradation adjustment section 12, and the image data (E ya, E MO + E co
, E go) are output to the color image forming section 13.

This color image forming section 13 processes the image data (Eyo
.

A visible color image is reproduced and output based on E2°, ECO, and EK (1).

[Description of Color Adjustment Instructions (FIGS. 3 and 4)] An example of a method for issuing color adjustment instructions will be described below with reference to FIGS. 3 and 4.

FIG. 3 shows a brightness adjustment instruction section for instructing brightness adjustment, which corresponds to the color adjustment instruction section 7 and a part of the display section 10. FIG. 4 shows a tint adjustment instruction unit that instructs adjustment of hue H and saturation S independently, which corresponds to a part of the color adjustment instruction unit 7.

In FIG. 3, SW1 to SW5 are switches for indicating the degree of brightness, and SWI to SW3 can be moved up and down in the direction of the arrow in the figure. Further, SW4 and SW5 are turned on and off by pressing them, and when in the on state, an LED or the like built into the switch lights up. Also, 30 is LE
In group D, LEDs 1 to 16 are displayed based on the degree of statistical parameter of brightness, and here, for the sake of simplicity, a case of 16 LEDs will be explained.

Further, reference numeral 31 indicates a display screen of a liquid crystal display, and a description will be given of a brightness adjustment method based on one or more configurations expressing the shape of the frequency distribution of brightness. When starting up and resetting the power supply, the color adjustment instruction unit 7 is also in the default state, the displays on LEDI~16 and LCD 31 are cleared, SW4 and SW5 are in the on state, and the color adjustment unit 8 is instructed to the default state. . In this default state, the color adjuster 8 outputs the input image data as it is without performing color adjustment.

Now, when the color space converter 6 receives image data in its default state, it converts the image data into (L, H, S) as described above and outputs it to the color adjuster 8 and the statistical analyzer 9. The brightness frequency distribution data obtained by the statistical analyzer 10 is displayed as a distribution 91 on the LCD 31, which is the display unit 10, with the brightness level in the vertical direction and the frequency in the horizontal direction. Furthermore, the mode mo, maximum value MAXO, and minimum value M obtained using the statistical analyzer lO
I No is displayed on the LED group 30, and at this time LE
The arrangement of the D group 30 corresponds to the brightness level of the LCD 31. In FIG. 3, the upper direction is defined as the higher brightness level, that is, the white direction, and the lower direction is conversely defined as the black direction.

Mode m at 91 in FIG. corresponds to the 9th LED 9, and the maximum value M A X a corresponds to the 4th LED 4,
The minimum value M I N o is displayed corresponding to the 13th LED 13 . Here, if you want to make the brightness distribution brighter or darker overall, press SW5 to turn it off, then move SW3 up (to brighten) or down (to make it brighter).
(when darkening) move. To change the brightness distribution range, first press SW4 to turn it off, and then
Move WI to move the brighter range, move SW2 to move the darker range, at this time frequency distribution data, mode mo, minimum value M A X o and minimum value M I
No means SWI, SW2. New frequency distribution data is created from the new mode m, maximum value MAX, and minimum value MIN instructed by SW3, and is displayed on the LED corresponding to the distribution 92. That is, the display of the LED group 30 is
It changes in synchronization with the movement of I to SW3. Note that when there is no original frequency distribution data, that is, when the power is turned on or reset, such new distributions 92 and 91 are not displayed.

Below, we will show how to create such new distribution data.

The correspondence between the brightness Lo and the frequency Do, which is the old distribution data, is now D.
If o = g+ (Lo), the correspondence between brightness and frequency, which are new distribution data, is D = gz (L) = g
r (h (L)), where h (L) is expressed as follows. However, when MAX≦m, the frequency is L
When ≧MAX, it becomes “O”, and when MIN≧m, the frequency becomes “0” when L≦MIN.Now, if SW4 is in the on state, the old N” MINo, MAX = MAX.

Therefore, if SW5 is in the on state, it becomes m '' m o.

The creation of such new distribution data is performed by the color adjustment instruction section 7, and the method of transmitting and displaying it to the display section 10 and the creation of various parameters (m o , MAXo,
A possible method is to transfer the MINo), the instruction amount (m, MAXMIN), etc. to the display unit 1o and display them, and create and display new distribution data according to the operator's instructions.

Similarly, various parameters (m
o, MAXo, MINo) and the indicated amount (m, MA
X, MIN) is sent to the color adjuster 8, and the old lightness L0 is converted to the new lightness using the following formula.

Alternatively, various parameters (m a ,
MAXo, MINo) and instruction amount (m, MAXMIN
), the adjustment amount (α1.β2.α6.β2) is determined by the following formula. That is, a H= (MAX m ) / (MAXom
o ) β1=01 mo + m az = (MIN - m) / (MINo - mo
) β2=α1 mo +m is calculated, and each adjustment amount (α1.β1.α2.β1) is sent to the color adjuster 8, L: “C!+Lo+β, (when L, 2m0) L” (!
A method of adjusting as 2LO+β2 (when Lo <mo) is also considered.

In addition, although any of the above methods requires calculation,
There are two methods: performing this calculation in hardware and successively creating new brightness levels, calculating using software using a CPU, etc., and storing previously calculated values in ROM-? )R
There is a method of storing it in AM and creating a lookup table.

Next, the adjustment of hue H will be explained.

Here, for simplicity, the hue is red (R).

Orange (0), yellow (Y), green (G), blue (B), purple (
The case will be explained based on the case where the adjustment is divided into six parts (P). In fact, as the number of hues to be divided increases, the user's operations become complicated, so it is appropriate to divide the image into about six.

Each of SW6 to 5WII shown in FIG.
This is a switch for instructing adjustment of two hues. 5W
Reference numeral 18 denotes a switch for changing the hue adjustment between an instructed adjustment state in a default state and an adjusted hue state. Note that here, the default state is to pass without adjusting the hue. When instructing to adjust the hue, turn off 5w1s and
W6-5 Bring to the adjustment state instructed by WII.

Now, if we consider that the hue to be adjusted is, for example, green (G), moving SW9 in the direction of SW8 will change the hue to green (G).
The color having the hue Ha' of G) has a yellowish tinge. On the contrary, S
When W9 is moved in the 5WIO direction, the color having the green (G) hue H6 becomes bluish. At this time, the amount of increase in yellowness and bluishness is determined by the distance Δd from the normal position (NP) 41 of SW9.

In this adjustment method, the color adjustment instruction unit 7 determines the deviation amount Δda (here, the counterclockwise direction is positive) of the SW 9 from the normal position 41, and also instructs the color adjuster 8 to adjust the hue. do. Upon receiving this instruction, the color adjuster 8 outputs the image data (L).

H, S) is in the area of the hue H0 of green (G), and if so, the hue H of the original image data is changed to △H=f HG (
Δaa) is added, and if not, the hue H of the original image data is passed through as is. Note that this hue determination is performed when the original hue H is in a predetermined hue Ha area (Homin-H
amax) based on the size relationship.

That is, if H, min≦H≦Homax, then H' =
H+ f H(+ (△dQ)=H+△H However, △
Let H=fHa(Δaa).

H< Hamin or H> If HamaX, H'
=H, where fHa represents a function and can be constructed using a look-up table or the like. In this way, the same procedure can be applied to other hues.

Next, adjustment of the saturation S will be explained.

The adjustment of the saturation S is performed for each hue H. Therefore, here, the case where the aforementioned hue H is divided into six will be explained. In FIG. 4, 5W12 to 5W19 are switches for instructing adjustment of the saturation S. 5W19 is a switch for switching the saturation adjustment between the default state and the instructed adjustment state. Note that the default state is a case where the color saturation is passed without adjustment.

When instructing to adjust the saturation, 5W19 is turned off to enter the adjustment state. For example, if the hue whose saturation is adjusted is green (G), moving 5W15 in the direction of SW9 will make the color with the green (G) hue Ha more vivid, and conversely, if SW9 is moved towards the white point 42 When moving in the direction of , the hue of green (G) changes to H.
Colors with 6 are lighter. At this time, the amount of brightness and amount of lightening is the normal position 4 of 5W15.
Distance △β from 3. determined by

Therefore, the method of adjusting the saturation is the amount of deviation Δ°C from the normal position 43 of 5WI5 in the case of green.

The color adjustment instructing unit 7 determines the value (with the direction of the white point 42 being negative) and instructs the color adjuster 8 to adjust the saturation. Upon receiving the instruction, the color adjuster 8 outputs image data (L, H).

Determine whether or not S) is in the region of hue H6 of green (G),
If it is within the range, add △5 to the saturation S of the original image data = fsa
(6°C.) is added. If it is not within the range, the saturation S of the original image data is passed through as is. That is, Hamin≦
If H≦H, max, S' = S + fsa (△l
2CI)=S+△SH<Hamin or H>H
In the case of amax, s' = s, where fsa represents a function, and the value calculated by this function can be constructed from a look-up table or the like. Saturation adjustment of hues other than green can be adjusted in the same manner. Although the saturation adjustment here was performed according to the hue H of the original image data, it is also possible to perform the saturation adjustment on the adjusted hue H'.

In this embodiment, the configuration of the color adjustment instruction unit 7 is a group of switches as shown in FIGS. By changing the display on the liquid crystal display or CRT in response to the instructions input in , it is possible to visually confirm the color adjustment instructions and the amount of color adjustment.

In addition, by processing steps 5 to 12 of the configuration shown in Figure 1 with software or hardware using a computer such as a personal computer or workstation, image signals from various image input devices can be adapted to the senses of the user. It is possible to output the image to various color image forming devices to form an optimal visible color image.

As explained above, according to this embodiment, each color component data of color image data from various image input devices is converted into color space data that matches the visual sense and sense of the user. By adjusting the attribute data, in this case, brightness, hue, and saturation, color adjustment and operability are improved. Furthermore, by displaying the color adjustment instruction amount in a form that is compatible with the color space, the color adjustment instruction amount can be confirmed and color operability is improved.

Furthermore, colors can be adjusted according to the user's preference without being restricted by the image input device and image output device.

[Effects of the Invention] As explained above, according to the present invention, input color image data can be converted into color space data that matches the user's vision and senses, and a color image can be reproduced based on the color space data. This has the effect that images can be formed with color adjustment according to the user's preference, regardless of the characteristics of the color image input device that inputs color image data.

[Brief explanation of the drawing]

FIG. 1 is a block diagram showing a schematic configuration of a color image processing device according to an embodiment of the present invention, FIG. 2 is a conceptual diagram of a color space, and FIG. 3 is an example of a portion of a color adjustment instruction unit that issues brightness adjustment instructions. FIG. 4 is a diagram showing an example of a portion of the color adjustment instruction unit that performs color tone (saturation and hue) adjustment. In the figure, 1.2...color image input device, 3.4...
Interface section, 5, 12... gradation adjustment section, 6.
11... Color space converter, 7... Color adjustment instruction section, 8.
. . . color adjuster, 9 . . . statistical analyzer, 10 . . . display section, 13 . . . color image forming section.

Claims (3)

[Claims] (1) A color image processing device that inputs a color image signal, converts it into color image data for image formation, and outputs it, the first device converting the input image signal into color space data that is compatible with the user's vision. color space conversion means; color adjustment instruction means for a user to directly instruct a control amount of each attribute data of the color space data using attribute data; and a second color space conversion means that converts the color-adjusted color space data into color image data suitable for a color image forming section. Color image processing device. (2) The color image processing device according to claim 1, wherein the attribute data is brightness, saturation, and hue data of the color space data. (3) The color adjustment instructing means adapts the arrangement of an instructing section for instructing the amount of control of attribute data of color space data to the arrangement of color space data. Image processing device.