JPH06205206A - Picture processing unit - Google Patents

Abstract

PURPOSE:To transform a picture signal of a color picture displayed on a CRT monitor or the like into a picture signal suitable for a hard copy device without loss of information of an original picture by calculating transformation coefficients from the result of detecting a saturation of each primary color. CONSTITUTION:A sampling circuit 105 samples an RGB signal inputted from a selector 101 at a rate set by a CPU 107. A buffer 106 stores the RGB signal sampled by the sampling circuit 105. The CPU 107 sequentially reads the RGB signal stored in the buffer 106 to write its 3-dimensional histogram to a histogram memory 108. Then the CPU 107 sequentially reads the RGB signal stored in the buffer 106 to detect a color with highest saturation from which isolate colors are eliminated. Furthermore, the CPU 107 calculates the matrix transformation coefficients from the result of detection and sets them to a matrix transformation circuit 103.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image processing apparatus, for example, a color image processing apparatus for processing color separation signals.

[0002]

2. Description of the Related Art Currently, there are a color CRT monitor and a color hard copy device as a general device for visualizing and outputting a color image. The former intensity-modulates the emission levels of the RGB three-color phosphors on the tube surface to form a visible image by additive color mixing. On the other hand, the latter forms a visible image on a recording paper by subtractive color mixture using YMCK four color materials.

[0003]

However, the above-mentioned conventional example has the following problems. FIG. 7 shows a color reproduction range of a general CRT monitor and a hard copy device x
It is a y chromaticity diagram, and the two image forming apparatuses have different color reproduction capabilities in principle. Therefore, when an image having two colors of points A and B shown in FIG. 7 is displayed on a CRT monitor, both colors are reproduced as different colors, but when output by a hard copy device, both colors are C Since the two colors are reproduced at different points, the two colors cannot be distinguished from each other, and as a result, the information originally contained in the image is lost.

Therefore, when a color image is output by a hard copy device, a method of converting the color included in the image so that it falls within the color reproduction range of the hard copy device and then outputting it is conceivable. That is, in FIG. 7, by converting the point A into the point D and converting the point B into the point E and outputting them by the hard copy device, the two colors can be distinguished. However, even in the above method, when a highly saturated character is combined in the image, this character color may be detected as the highest saturation, and as a result, the character color and other continuous gradations may be detected. Although there is no color to be reproduced between the partial colors, the color reproduction range is converted with the character color as a reference, and there is a problem that the saturation of the continuous tone part is reduced.

[0005]

SUMMARY OF THE INVENTION The present invention is intended to solve the above problems, and has the following structure as one means for solving the above problems. That is, the first
Detecting means for detecting the saturation of each primary color other than the character of the image represented by the image signal from the first image signal, and calculating means for calculating the conversion coefficient according to the detection result of the detecting means. An image processing apparatus including: a conversion unit that converts the first image signal into a second image signal using the conversion coefficient calculated by the calculation unit.

[0006]

With the above arrangement, the conversion coefficient is calculated from the result of detecting the saturation of each primary color other than the character of the image represented by the first image signal, and the calculated conversion coefficient is used to calculate the conversion coefficient. An image processing device that converts one image signal into a second image signal can be provided. For example, with the above configuration, the image signal of a color image displayed on a CRT monitor or the like having a wide color reproduction range is hard-copied with a color reproduction range narrower than that of a CRT monitor without losing the information of the original image. It is possible to provide an image processing apparatus capable of converting into an image signal suitable for the apparatus, and further capable of appropriately converting the saturation of a continuous tone portion even when the image includes a highly saturated character.

[0007]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An image processing apparatus according to an embodiment of the present invention will be described in detail below with reference to the drawings.

[0008]

[First Embodiment] FIG. 1 is a block diagram showing a configuration example of the present embodiment. In the figure, 107 is a CPU, for example, 1
Built-in R consisting of a chip microprocessor, etc.
RAM 10 according to the program stored in the OM or the like
Image processing using 9 as a work memory, CPU bus 107
Control of other blocks is executed via a.

Reference numeral 101 is a selector, 103 is a matrix conversion circuit, and 105 is a sampling circuit.
Outputs the input RGB signal to either the matrix conversion circuit 103 or the sampling circuit 105 in accordance with the selection signal input from the CPU 107 to the selection terminal S. It should be noted that the CPU 107 sends RGB signals to the matrix conversion circuit 103 when performing color compression of an image, and sends a RGB signal to the sampling circuit 105 when detecting a color distribution of an image.
A selection signal is sent to the selector 101 so as to guide the signal.

The sampling circuit 105 includes a selector 10
The RGB signals input from 1 are sampled at a rate set by the CPU 107. Reference numeral 106 denotes a buffer, which is R sampled by the sampling circuit 105.
Store the GB signal. The CPU 107 is a buffer 106.
The RGB signals stored in the memory are sequentially read, and the three-dimensional histogram thereof is written in the histogram memory 108. Note that the three-dimensional histogram has three RGB colors as variables.
Counts the frequency of appearance of color combinations.
The count result of the coordinates corresponding to the combination of colors that do not appear in the image becomes 0.

Next, the CPU 107 refers to the three-dimensional histogram to determine the isolated color. When the frequency of a certain color combination (Ri, Gi, Bi) is H (Ri, Gi, Bi), the definition of an isolated color is as follows. That is, when the color signal RiGiBi exists in the input image and no color exists in the color space near the coordinates (Ri, Gi, Bi), (Ri, Gi, Bi) is an isolated color.

Normally, the character combined in the continuous tone image is 1
Often made with solid colors, 1 on the histogram
Frequency is concentrated on the coordinates. Therefore, in the present embodiment, it is determined that an isolated color having a high appearance frequency H and an adjacent color frequency H of 0 is a color of a non-gradation image such as a character solid-painted with a specific color. To do. Next, the CPU 107 makes a buffer 1
The RGB signals stored in 06 are sequentially read out, and the color having the highest saturation except for the isolated color is detected by the method described later. The CPU 107 calculates the matrix conversion coefficient from the detection result by the method described later, and sets the calculated matrix conversion coefficient to the matrix conversion circuit 103.

FIG. 2 is a block diagram showing an example of the structure of the matrix conversion circuit 103. The image signal is sequentially transferred from block to block by a clock or reset signal not shown. In the figure, 201 is a minimum value circuit, which outputs a minimum value signal X = min (R, G, B) from the input RGB signal.

Numerals 202 to 204 denote subtractors, which output the difference between the input RGB signal and the minimum value signal X (X = min (R, G, B)) input from the minimum value circuit 201. For example, the subtractor a202 uses the difference R between the signal R and the minimum value signal X.
-X is output, and the subtractor b203 outputs G-X and subtractor c2
04 outputs BX. Numerals 205 to 207 are latches, respectively, which are difference signals R input from the subtracters 202 to 204.
-Latch each X.

Reference numerals 208 to 210 denote multipliers, which are subtractors 202.
Each of the difference signals R-X input from ˜204 is multiplied. For example, the multiplier a208 outputs the product (R−X) (G−X) of the difference R−X input from the subtractor a202 and the difference G−X input from the multiplier b203, and the multiplier a208 b20
9 is (G-X) (B-X), and the multiplier c210 is (B-X).
(R-X) is output.

Reference numeral 211 denotes a matrix operation circuit, which is a latch 2
05-207 and the multipliers 208-210 and the matrix coefficient set by the CPU 107 are calculated according to the equation (2), and the calculation result dR, d
Output G and dB. However, RG = (R−X) (G−X) GB = (G−X) (B−X) BR = (B−X) (R−X) 212 to 214 are adders, and the matrix operation circuit 211
The outputs dR, dG and dB of the above and the RGB signal are added according to the equation (3) to output the R′G′B ′ signal.

[0017] Next, a method of obtaining the matrix conversion coefficient aij of the equation (2) will be described.

The purpose of the matrix conversion is to map a wide range of colors included in the input image to the color reproduction range of the hard copy device. Here, the red mapping will be described, but the same applies to other colors.
For example, assuming that the image signal is represented by 8 bits for each of RGB, red with the highest saturation included in the image is (R, G, B) = (2
00,15,0). This color corresponds to the Ri point on the chromaticity diagram of FIG. 7, and the red having the highest saturation that can be reproduced by a general hardcopy device is located at the RH point. All the colors between the Ri points are output as the color of the RH point.

Therefore, in this embodiment, the red R i with the highest saturation contained in the image is the color at the RH point (generally (R, G, B)).
= (160,20,10)), the image signal is matrix-converted. As a result, the color between RH point and Ri point is RH
Mapped to the inside of the point, maintaining the gradation,
The colors contained in the image can be mapped into the color reproduction area of the hard copy device.

If such a correspondence relation is set for all six primary colors as shown in Table 1 as an example, 18 simultaneous linear equations are obtained from the equations (2) and (3), and the unknown number Since there are also 18 aij, the matrix conversion coefficient can be uniquely determined.

[0021]

[Table 1] By the way, the next highest saturation 6 included in the input image signal
A method of detecting the primary color will be described.

FIG. 3 is a diagram schematically showing a color reproduction range of a general CRT monitor and a hard copy device in an L ^* u ^* v ^* uniform color space. The CPU 107 uses the following equation:
Convert RGB signals to L ^* u ^* v ^* signals. However, u = 4X / (X + 15Y + 3Z) v = 9Y / (X + 15Y + 3Z) In FIG. 3, the hexahedron indicated by 401 is the CRT monitor color reproduction range, Rc, Gc, Bc, Cc, Mc and Yc indicate the maximum reproduced saturation in each of the six primary colors, and the hexahedron indicated by 402 is the color of the hard copy device. Reproduction range: RH, GH, B
H, CH, MH and YH represent the maximum reproduced saturation in each direction of the six primary colors.

In this embodiment, the input image signal is first sampled to detect the color with the highest saturation in the L ^* u ^* v ^* uniform color space, and the matrix coefficient of equation (1) is calculated from this value. decide. For example, if a pixel value of the input image is (Rs, Gs, B
s). First, in the present embodiment, it is determined whether or not this value is an isolated color, but since the isolated color is detected by the method described above, it may be determined whether or not it is applicable. If the result of determination is that there is an isolated color, the following processing is not performed and the processing moves to the next sampling pixel. Also,
If the color is not an isolated color, (Rs, Gs, Bs) is converted into an L ^* u ^* v ^* value. The point S shown in FIG. 3 indicates the pixel value.

In the present embodiment, the RGB values of the color having the highest saturation of each of the RGBYMC6 primary colors in the input image signal are obtained. Therefore, consider a vector as shown in FIG. 4 in the L ^* u ^* v ^* uniform color space. Note that FIG. 4 shows the case of the M color direction, and points MH, Mc, and S are the same as those shown in FIG. In the figure, the point SM on the vector MHMc obtained by obtaining the cosine r _M in the vector MHMc direction of the vector MHS traveling from MH to the pixel value S represents the saturation of the pixel value S in the M direction. There is. Note that r _M can be _calculated by the following equation.

R _M = (MHS · MHMc) / | MHMc | (4) where (X · Y): Inner product of vectors X and Y | Z |: Absolute value of vector Z Similarly, other primary colors ( R, G, B, C, Y)
If the cosine (r _R , r _G , r _B , r _Y , rc) in that direction is obtained and the largest one is selected from the obtained six cosine, the pixel value S
You can see in which direction (hue) the color is.

In this way, if the maximum value of the cosine in the six primary color directions of all the pixels of the input image or the pixels which are not the isolated color sampled at a constant interval is found, L ^* u ^{* of the} point giving the maximum value is found ^. The RGB value obtained by inversely converting the v ^* value becomes the color to be obtained. FIG. 5 is a flow chart showing an example of the above processing procedure. It should be noted that the processing shown in the figure is performed by the CPU 107 when an image signal is input to this embodiment.
It is carried out by. Further, Xmax represents a register for storing the maximum value of cosine, and actually Rmax,
It is composed of 6 registers of Gmax, Bmax, Ymax, Mmax and Cmax.

In the figure, the CPU 107 outputs the input RGB signals to the sampling circuit 10 in step S1.
5, the RGB signals are sampled at a predetermined rate, and the sampled pixels are stored in the buffer 106. Subsequently, in step S2, the CPU 107 detects an isolated color from the sampling pixels stored in the buffer 106 using the histogram memory 108 as described above.

Subsequently, the CPU 107 initializes the maximum value register Xmax to, for example, 0 in step S3, reads one sampling pixel from the buffer 106 in step S4, and determines whether the value of the read sampling pixel is an isolated color in step S5. If it is an isolated color, step S1
Jump to 1 and if not an isolated color, step S6
Go to.

If the color is not an isolated color, the CPU 107
In step S6, the pixel value is changed from RGB to L^*u^*v^*Converted,
In step S7, the cosine in the six primary color directions is obtained, and in step S8
Obtain the maximum value rx of the six cosines obtained in. Note that the maximum
The value rx is r_R, r_G, r_B, r_Y, r _MOr either rc
It Subsequently, the CPU 107 proceeds to step S9 and outputs the maximum value.
Stored in rx and the corresponding maximum value register Xmax
Compare with the value and if rx ≦ Xmax, go to step S11
Jump and if rx> Xmax, go to step 10.
After storing rx in Xmax, the process proceeds to step S11.

Then, the CPU 107 proceeds to step S11.
Then, it is determined whether or not all the sampling pixels stored in the buffer 106 have been read, and if there are sampling pixels that have not been read, the process returns to step S4, and if all the sampling pixels have been read, the process proceeds to step S12. When all sampling pixels are read, CP
U107 determines the maximum value register Xmax at step S12.
The L ^* u ^* v ^* value of the point represented by is converted into an RGB value, and in step S13, the RGB value of each primary color obtained in step S12 is applied to Table 1 to obtain the matrix conversion coefficient aij.

Then, the CPU 107 proceeds to step S14.
Then, the matrix conversion coefficient aij obtained in step S13 is set in the matrix conversion circuit 103, the matrix calculation is executed in the circuit, and the process is ended. As described above, according to this embodiment, a CRT having a wide color reproduction range is provided.
An image signal of a color image displayed on a monitor or the like can be converted into an image signal suitable for a hard copy device having a narrower color reproduction range than a CRT monitor or the like without losing the information of the original image. Even when the image includes characters with high saturation, the saturation of the continuous tone portion can be appropriately converted.

[0032]

[Second Embodiment] A second embodiment of the present invention will be described below. In the second embodiment, the same components as those in the first embodiment are designated by the same reference numerals and detailed description thereof will be omitted. In the first embodiment, the character is detected from the histogram representing the color distribution of the image signal by paying attention to the isolation of the character color, but in the second embodiment, the character color and the background color thereof are significantly different. The focus is on detection.

FIG. 6 is a diagram for explaining the above detection method. The image signal of the line ab portion of the image in which the continuous tone portion 601 and the character portion 602 are combined as shown in FIG. 7A shows the intensity of one color component (R, G or B) of the image signal. It is as shown in FIG. Utilizing this relationship,
In this embodiment, the character color is detected by the following procedure.

The CPU 107 stores two sets of spatially adjacent image signals (Ri, Gi, Bi) and (R stored in the buffer 106.
_{i + 1} , G _{i + 1} , B _{i + 1} ) is read and the value D is obtained by the following equation. ^{D = (R1-R2) 2} + (G1-G2) 2 + (B1-B2) 2 ... (5) CPU107 compares the value D with a predetermined threshold value T determined, the following conditions If it satisfies, it is determined that the possibility of the character color is high.

D> T or D = 0 (B) That is, for example, the value D of the two sets of image signals 603 and 604 in FIG. 6B is small, so the above condition B is not satisfied. However, 2 shown by 604 and 605 in the figure
The value D of the pair of image signals becomes large, and the condition B is satisfied if the threshold value T is appropriate. Note that D = 0 is added to the above condition B when, for example, two sets of image signals inside the character portion are referred to, such as two sets of image signals indicated by 606 and 607 in FIG. 6B. Is taken into consideration.

As described above, according to this embodiment, in addition to the effect similar to that of the first embodiment, the character color is detected by utilizing the fact that the character color and the background color are greatly different.
A histogram memory or the like is not required, and the configuration can be simplified and the device cost can be reduced. The present invention may be applied to a system including a plurality of devices or an apparatus including a single device.

Further, it goes without saying that the present invention can be applied to the case where it is achieved by supplying a program to a system or an apparatus.

[0038]

As described above, according to the present invention, the conversion coefficient is calculated from the result of detecting the saturation of each primary color other than the character portion of the image represented by the first image signal, and the calculated conversion coefficient is calculated. Therefore, the first image signal is converted into the second image signal, so that it can be converted into an image signal suitable for a hard copy device having a narrow color reproduction range without reducing the saturation of the original image other than the character portion. You can

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration example of an image processing apparatus according to an embodiment of the present invention.

FIG. 2 is a block diagram showing a configuration example of a matrix conversion circuit of this embodiment.

FIG. 3 is a diagram schematically showing a color reproduction range of a general CRT monitor and a hard copy device in an L ^* u ^* v ^* uniform color space.

4 is a diagram illustrating the cosine of the pixel value S in FIG. 3 in the direction of the M primary colors.

FIG. 5 is a flow chart showing an example of a processing procedure of the CPU of the present embodiment.

FIG. 6 is a diagram illustrating a character color detection method according to a second embodiment of the present invention.

FIG. 7 is an xy chromaticity diagram showing a color reproduction range of a general CRT monitor and a hard copy device.

[Explanation of symbols]

 101 selector 103 matrix conversion circuit 105 sampling circuit 106 buffer 107 CPU 108 histogram memory 109 RAM 201 minimum value circuit 202-204 subtractor 205-207 latch 208-210 multiplier 211 matrix operation circuit 212-214 adder

─────────────────────────────────────────────────── ─── Continuation of the front page (51) Int.Cl. ⁵ Identification code Office reference number FI Technical display location H04N 9/79 H 7916-5C

Claims (3)

[Claims] 1. Detecting means for detecting, from the first image signal, the saturation of each primary color other than character of the image represented by the first image signal, and converting according to the detection result of the detecting means. An image processing apparatus comprising: a calculating unit that calculates a coefficient; and a converting unit that converts the first image signal into a second image signal by using the conversion coefficient calculated by the calculating unit. . 2. The detecting means includes a color distribution detecting means for detecting a color distribution of the first image signal, and an extracting means for extracting an isolated color from a detection result of the color distribution detecting means. A first matching the isolated color extracted by the means
2. The image processing apparatus according to claim 1, wherein the saturation of each primary color other than charactor is detected by removing the image signal of FIG. 3. The detecting means includes a difference detecting means for detecting a difference between adjacent pixel values from the first image signal, and an extracting means for extracting a charactor color from a detection result of the difference detecting means, 2. The image processing apparatus according to claim 1, wherein the maximum saturation other than charactor is detected by removing the first image signal that matches the charactor color extracted by the extracting means.