JP2007110246A - Image processor and processing method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To perform color transformation processing at a high speed, by enabling effective conducting of perform color transformation processing. <P>SOLUTION: The image processor comprises a means for comparing force data with adjacent data, a means for discriminating whether the comparison results from the data comparison means satisfy conditions defined by a color transformation matrix, and a means performing a processing for determining the output results of adjacent data as the output data of input data, if the discrimination results from the condition discriminating means satisfy the conditions, otherwise, performing normal color transformation processing. The efficiency of color transformation processing is enhanced by determining the output results of adjacent data as the output data of input data, when the difference between two input data compared is such a slight amount that it will not have impact on the output of a device. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an image processing apparatus, an image processing method, a computer program, and a recording medium, and more particularly to a technique suitable for use in an image processing apparatus for efficiently performing color conversion processing.

  In recent years, with the widespread use of peripheral devices such as displays, printers, and scanners, various image input / output devices having different color space characteristics are often used in cooperation. Therefore, it is necessary to perform color conversion in accordance with the characteristics corresponding to each device before input / output. Further, there is a case where color conversion is simply performed to improve the appearance, such as skin color correction for making a human face look beautiful. A digital color image to be subjected to such color conversion has a large amount of data, so that high-speed processing is required.

By the way, in general, image data to be subjected to image processing such as color conversion, filters, and masks generally have the same value in adjacent pixel values.
By the way, in the prior art, an image compression method has been proposed in which color information with close luminance color differences is combined to reduce intermediate colors (see, for example, Patent Document 1).

JP 2004-030491 A

  An object of the present invention is to make it possible to perform color conversion processing at high speed by focusing on adjacent pixels so that the color conversion processing can be performed efficiently.

An image processing apparatus according to the present invention determines whether a data comparison unit that compares input data and data adjacent thereto, and whether a comparison result by the data comparison unit satisfies a condition defined by a color conversion matrix. If the determination result of the condition determination means and the condition determination means satisfies the above condition, the output result of the adjacent data is processed as the output data of the input data, otherwise the normal color conversion process is performed. And color conversion means for performing.
Another feature of the image processing apparatus of the present invention is that a data reading means for sequentially reading input data from the input memory and a color conversion matrix defined by the input data read by the data reading means are defined. Output data calculating means for calculating output data by the calculated operation, output data storing means for sequentially storing the output data calculated by the output data calculating means in the output memory, and input read by the data reading means Approximation condition determining means for determining an approximate condition of each component of data from a color conversion matrix; comparison data determining means for determining input data before the input data to be compared with the input data read by the data reading means; The comparison data determined by the comparison data determination means and the data reading Approximate determination for determining whether the input data satisfies the approximation condition determined by the approximation condition determination means as a result of comparison by the data comparison means and the data comparison means for comparing the input data read by And reference data storage means for storing the output data of the comparison data as output data of the input data in the output memory with respect to the input data determined to satisfy the approximation condition by the approximation determination means It is characterized by having.

According to the image processing method of the present invention, a data comparison step for comparing input data with data adjacent thereto, and whether or not a comparison result by the data comparison step satisfies a condition defined by a color conversion matrix. If the determination result of the condition determination step and the condition determination step satisfies the condition, a process of setting the output result of the adjacent data as the output data of the input data is performed, and if not, a normal color conversion process is performed. And a color conversion step to be performed.
Another feature of the image processing method of the present invention is that a data reading step for sequentially reading input data from the input memory and a color conversion matrix defined by the input data read by the data reading step are defined. An output data calculation step for calculating output data by the calculated operation, an output data storage step for sequentially storing the output data calculated by the output data calculation step in an output memory, and an input read by the data reading step An approximate condition determining step for determining an approximate condition of each component of data from a color conversion matrix; and a comparison data determining step for determining input data before the input data to be compared with the input data read by the data reading step; The comparison data determined by the comparison data determination step and the data reading process An approximation judgment for judging whether or not the input data satisfies the approximation condition determined by the approximation condition determination process as a result of the comparison by the data comparison process and the data comparison process for comparing the input data read by A reference data storage step of storing output data of the comparison data as output data of the input data in the output memory with respect to the input data determined to satisfy the approximation condition by the approximation determination step; It is characterized by having.

The computer program of the present invention includes a data comparison step for comparing input data and data adjacent thereto, and a condition for determining whether or not a comparison result by the data comparison step satisfies a condition defined by a color conversion matrix If the determination result of the determination step and the condition determination step satisfy the condition, a process of setting the output result of the adjacent data as the output data of the input data is performed, and if not, the normal color conversion process is performed. An image processing method including a color conversion step is executed by a computer.
Another feature of the computer program according to the present invention is that it is defined by a color conversion matrix from a data reading step for sequentially reading input data from the input memory and the input data read by the data reading step. Output data calculating step for calculating output data by the above-described calculation, an output data storing step for sequentially storing the output data calculated by the output data calculating step in an output memory, and the input data read by the data reading step An approximate condition determining step for determining an approximate condition of each component from a color conversion matrix, a comparison data determining step for determining input data before the input data to be compared with the input data read by the data reading step, Comparison data determined by the comparison data determination step and the data A data comparison step for comparing the input data read by the interpolating step and a result of the comparison by the data comparison step determine whether or not the input data satisfies the approximation condition determined by the approximation condition determination step An approximate judgment step to
An image having a reference data storage step of storing, in the output memory, output data of the comparison data as output data of the input data with respect to the input data determined to satisfy the approximation condition by the approximation determination step A processing method is executed by a computer.

  The recording medium of the present invention records the computer program described above.

  According to the present invention, the input data and the comparison data determined by the comparison data determination means are read from the memory, and the input data read from the memory satisfies the approximation condition determined by a predefined color conversion matrix. By reading out the output data of the data from the memory and storing it in the output memory as the output result of the input data, the input data and the comparison data are completely obtained if each component constituting the pixel data satisfies the approximate condition Even if they do not match, the comparison / approximation processing can be performed for each component constituting the pixel data, so that the input data that can use the output result of the comparison data can be increased, and color conversion can be performed. The processing can be speeded up.

(First embodiment)
FIG. 1 is a block diagram showing a schematic configuration of the image processing apparatus according to the present embodiment. In FIG. 1, reference numeral 101 denotes a CPU, which includes a RAM 103, an operation unit 104, and an image processing unit according to information data stored in a ROM 102, a control program, an OS (operating system), an application program, a color matching processing module, a device driver, and the like. 105, various controls of the display unit 106, the input device 107, and the output device 108 are performed.

  Reference numeral 107 denotes an input device, which inputs color space information data for which an arbitrary profile is to be created to the image processing apparatus by an image reading apparatus such as an image scanner or a color measurement apparatus. An output device 108 outputs a visible image by an ink jet printer, a thermal transfer printer, a dot printer, or the like. The RAM 103 is a work area and temporary save area for various control programs and data input from the operation unit 104. An operation unit 104 is used to set the output device 108 and input data.

  An image processing unit 105 performs image processing including profile creation by color conversion processing in the present embodiment. Reference numeral 106 denotes a display unit that displays a processing result of the image processing unit 105, data input by the operation unit 104, and the like.

  Next, a more efficient color conversion process procedure in the present embodiment will be described. First, an approximation condition is determined from the color conversion matrix. The subsequent processing is repeated as many times as the number of pixel data constituting the image to be subjected to color conversion. If there is no comparison target data for the input data, a normal color conversion process is performed, and if not, a comparison / approximation process proposed in this embodiment is performed.

  More detailed processing will be described with reference to flowcharts showing basic operations of the image processing apparatus according to the present embodiment shown in FIGS. The CPU 101 of the image processing apparatus executes the processes shown in the flowcharts of FIGS. 2 and 3 by referring to the program stored in the RAM 103. In the embodiment shown in FIGS. 2 and 3, image data composed of the number of pixels of N in the horizontal direction and M in the vertical direction is handled, and the input data n pixels before the input data is used as comparison target data.

Hereinafter, it demonstrates along the flowchart of FIG.
First, an approximation condition for the input data is determined based on a predefined color conversion matrix (step S201), and a variable i for counting the pixels subjected to color conversion processing is initialized (step S202).

  Next, it is determined whether or not the value of the variable i is larger than “N × M−1” (step S203). As a result of this determination, if it is determined that the value is large, the process is terminated. If not, it is next determined whether the variable n is larger than the variable i (step S204). If it is determined as a result of the determination that there is no data to be compared, normal data conversion processing is performed because there is no data to be compared (step S205), and the output data is stored in an appropriate memory area (step S206).

  The appropriate memory area may be an output memory area or a common memory area with the input memory. If it is determined in step S204 that the variable n is equal to or less than the variable i, the input data and the comparison target data are compared and approximated (step S207), and the output data is stored in an appropriate memory area. (Step S206). Then, the variable i is incremented (step S208), and then the process returns to step S203.

Hereinafter, it demonstrates along the flowchart of FIG.
Since the process from the first step S301 to step S306 is the same as the process from step S201 to step S206 in FIG.
And after the process of (step S306), the variable i is incremented (step S309), and it returns to the process of step S303 after that.

  If the variable i is determined to be less than or equal to the variable n as a result of the determination in (Step S304), the input data and the comparison target data are compared for each component and an approximation process is performed (Step S307). Then, the output data is stored in an appropriate memory area (step S310). In the present embodiment, the appropriate memory area may be an output memory area or a common memory area with the input memory.

  Next, it is determined whether or not the comparison / approximation processing has been completed for all components constituting the input data (step S308). As a result of the determination, if not completed, the process returns to (step S307). If determined to be completed, the variable i is incremented (step S308), and the process returns to (step S303).

  4 and 5 are flowcharts for explaining the processing procedure for determining the approximation condition for the input data from the color conversion matrix in the image processing apparatus according to the present embodiment. 4 and 5 correspond to an example of a specific processing flow performed in (Step S201) in FIG. 2 and (Step S301) in FIG. The CPU 101 of the image processing apparatus executes the processes shown in the flowcharts of FIGS. 4 and 5 by referring to the program stored in the RAM 103.

  When obtaining the approximate condition for each component of the input data from the color conversion matrix, the component value of each column of the color conversion matrix affects each component value constituting the output data. Find the value. The reciprocal of the maximum value for each column determines the approximate range of each component of the input data. If the approximate range is large, the input data that can be approximated increases, and the processing speeds up. More detailed processing will be described with reference to the flowchart of FIG.

  The number of rows of the color conversion matrix m handled in this embodiment is I, and the number of columns is J. First, the color conversion matrix m designated in advance is read (step S401), and a variable i for counting the number of processed rows and a variable j for counting the number of processed columns are initialized (step S402).

  Next, in step S403, it is determined whether or not “number of rows I <variable i”. If the variable i is larger than the number of rows I as a result of this determination, the process proceeds to the processing flow (1). Otherwise, m [i] [j] is substituted for the variable max [i] representing the maximum value of each row of the color conversion matrix m (step S404), and whether or not the variable j is greater than the number of columns J is determined. A determination is made (step S405).

  If it is determined that the variable j is equal to or less than the number of columns J, the process proceeds to step S406, where it is determined whether “m [i] [j]” is greater than max [i]. As a result of this determination, if it is determined that the value is large, m [i] [j] is substituted for max [i] (step S407), the variable j is incremented (step S408), and then the processing of (step S405) is performed. Return.

  If “m [i] [j]” is determined to be less than or equal to max [i] as a result of the determination in step S406, the variable j is incremented (step S408) and the process returns to (step S405).

  If it is determined in step S405 that the variable j is greater than the number of columns J, the reciprocal of max [i] is set to reg [i] indicating the approximate range of the i-th component constituting the input data. Substitute (step S409). Then, the variable i is incremented (step S410), and the process returns to (step S403).

  Next, components that can be approximated in the input data are determined. Here, if each row of the color conversion matrix includes two or more components that are not “0”, even if the input data satisfies the approximation condition calculated by the processing flow of FIG. May extend to a range that affects the output device, making it impossible to approximate two or more non-zero “0” column components in each row.

  In each row of the color conversion matrix, approximation is possible if the component of the input data relating to the column component including only one component that is not “0” satisfies the approximation condition calculated by the processing flow of FIG. . More detailed processing will be described with reference to the flowchart of FIG.

  After finishing the processing flow in FIG. 4, the variables i and j are initialized (step S501). Next, it is determined whether or not the variable j is larger than the number of columns J (step S502). As a result of this determination, if it is determined that the value is large, the process is terminated.

  If it is determined in step S502 that the variable j is equal to or less than the number of columns J, the variable n is initialized (step S503). The variable n represents the number of components that are not “0” in each column of the color conversion matrix m.

  Next, it is determined whether or not the variable i is greater than the number of rows I (step S504). If it is determined that the variable i is equal to or less than the number I of rows, it is determined whether “m [i] [j]” is equal to “0” (step S505). If the result of this determination is not "0", the variable n is incremented by substituting the value of the variable i into the variable c [n] for storing the number of rows at that time (step S506).

  Then, the variable i is incremented (step S507), and then the process returns to step S504. If “m [i] [j]” is determined to be “0” as a result of the determination in step S505, the process jumps to step S507.

  If it is determined in step S504 that the variable i is greater than the number of rows I, the process proceeds to step S508, where it is determined whether the variable n is greater than “1”. As a result of the determination, if the variable n is determined to be “1” or less, the variable j is incremented (step S509), and the process returns to (step S502).

  If it is determined in step S508 that the variable n is greater than “1”, the process proceeds to step S510 to initialize the variable k, and then it is determined whether the variable k is greater than the variable n (step S511). . If it is determined that the variable k is equal to or less than the variable n as a result of the determination, “0” is substituted for the variable “reg [c [k]]”, the variable k is incremented (step S512), and then step S511 is performed. Return to the process. If it is determined in step S511 that the variable k is larger than the value of the variable n, the process proceeds to step S509.

With the above processing, an approximate range in each component of the input data is determined from the color conversion matrix m.
Next, whether the input data is subjected to normal color conversion processing or the output result of the comparison target data is read by comparing the determined approximateable component and approximation range with the input data and the comparison target data. decide.

  If the absolute value of the difference between the input data and the comparison target data is larger than the approximate range, an error due to the approximation extends to a range that affects the output device, and therefore normal color conversion processing is performed. If the absolute value of the difference between the input data and the comparison target data is less than or equal to the approximate range, the output to the device is not affected. Therefore, the output result of the comparison target data is read as the output result of the input data. More detailed processing will be described with reference to the flowchart of FIG. The CPU 101 of the image processing apparatus executes the processing of the flowchart in FIG. 6 by referring to the program stored in the RAM 103.

  FIG. 6 is a flowchart showing approximation processing for the input data in the image processing apparatus according to the present embodiment, and corresponds to a specific processing flow in (step S207) in FIG. In this embodiment, the input data and the comparison target data are pixel data composed of J components, and the comparison target data is input data n pixels before the input data. The input memory and output memory are separate areas.

  First, the input data f [i] for the i-th pixel and its comparison target data f [i-n] are read (step S601). Next, a variable j for counting the number of components constituting the image data is initialized (step S602). Next, it is determined whether or not the variable j is larger than the number of columns J (step S603). As a result of the determination, if it is determined that the variable j is larger than the number of columns J, the process proceeds to step S604, the output result of the comparison target data f [i−n] is read from the output memory, and the process ends.

  On the other hand, if it is determined in step S603 that the variable j is equal to or less than the number of columns J, the approximate condition reg [j] for the j component of the input data obtained from the processing flow of FIGS. 4 and 5 is read out. Processing is performed (step S605).

  Next, in step S606, it is determined whether the absolute value of the difference between the input data f [i] and the comparison target data f [i−n] is greater than reg [j]. As a result of this determination, if it is determined that the value is large, the process proceeds to step S607, the normal color conversion process is performed on the input data f [i], and the process ends.

  If it is determined in step S606 that the absolute value of the difference between the input data f [i] and the comparison target data f [i−n] is equal to or less than reg [j], the process proceeds to step S608, and the variable j is incremented. Then, the process returns to step S603.

  FIG. 7 is a flowchart showing approximation processing for the input data in the image processing apparatus according to the present embodiment, and corresponds to a specific processing flow in (step S307) in FIG. Hereinafter, it demonstrates along the flowchart of FIG. The CPU 101 of the image processing apparatus executes the process of the flowchart of FIG. 7 by referring to the program stored in the RAM 103.

  In this embodiment, the input data and the comparison target data are values of one component constituting the pixel data, and the input memory and the output memory are separate areas. The comparison target data is input data n pixels before the input data.

  First, one of the components constituting the input data of the i-th pixel and the “i-n” pixel (here, the first input data f and the second input data g, respectively) is read (step S701). ). Further, the approximate condition reg related to the components of the first input data f and the second input data g obtained from the processing flow of FIG. 5 is read (step S702).

  Next, it is determined whether or not the absolute value of the difference between the first input data f and the second input data g is greater than reg (step S703). As a result of this determination, if it is determined that the value is large, normal color conversion processing is performed on the first input data f (step S704), and the processing ends.

  On the other hand, if it is determined in step S703 that the absolute value of the difference between the first input data f and the second input data g is equal to or less than reg, the output result of the second input data g is read (step S705). ), The process is terminated.

  FIG. 8 is a schematic diagram for explaining the color conversion process executed by the image processing apparatus according to the present embodiment, and 4 ARGB components stored in the input memory area 801 and the output memory area 802. A part of the image data composed of channels is shown. In the present embodiment, data to be compared with the input data is input data one pixel before.

  The input data of the Nth pixel 803 of the image data stored in the input memory area 801 is compared with the input data of the previous pixel 804 for each component. Here, it is assumed that the values of the A, R, and G components of the input data of the Nth pixel and the (N−1) th pixel are equal, and the values b and b ′ of the B component are very close.

  At this time, if the B component satisfies the approximate condition calculated from the color conversion matrix, the data already stored in the area 806 corresponding to the (N−1) th pixel of the output memory area 802 is copied, and the Nth pixel area By storing in 805, output data can be obtained without performing color conversion processing, and color conversion processing can be performed at high speed.

(Second Embodiment)
FIG. 9 is a schematic diagram for explaining the color conversion processing executed by the image processing apparatus according to the present embodiment. One example of the image data stored in the input memory area 901 and the output memory area 902 is shown in FIG. The part is shown. In the present embodiment, data to be compared with the input data is input data one pixel before. The input data of the Nth pixel 903 of the image data stored in the input memory area 901 is compared with the input data of the previous pixel 904 for each component.

  Here, it is assumed that the values of the A component of the Nth pixel and the (N−1) th pixel are equal, and the G component values g and g ′ are close enough to satisfy the approximate condition. At this time, regarding the values of the A and G components satisfying the approximate condition, the data already stored in the area 905 corresponding to the (N−1) th pixel of the output memory area (902) is used as the A and G component values of the pixel data. The value is copied and stored as the A and G components of the area 906 of the Nth pixel. Then, the result of performing the color conversion process only on the R and B components that do not satisfy the approximate condition is stored as the R and B components in the area 906 of the Nth pixel. By this processing, it is possible to perform only the components that require color conversion processing, and the speed can be increased.

(Third embodiment)
FIG. 10 is a schematic diagram for explaining the color conversion processing executed by the image processing apparatus according to the present embodiment, and is composed of four channels of ARGB components stored in the input / output memory area 1001. A part of image data is shown. In this embodiment, data to be compared with the input data is input data one pixel before the input data.

  In FIG. 10A, it is assumed that the color conversion processing has been completed up to the (N-1) th pixel. The input data of the Nth pixel (1002) of the image data stored in the input / output memory area 1001 and the input data one pixel before the input data temporarily stored in the comparison data area 1004 are components. Compare each. Here, the A, R, and G component values of the input data of the Nth pixel and the (N−1) th pixel are equal, and the B component values b and b ′ are close enough to satisfy the approximate condition calculated from the color conversion matrix. Shall.

  In FIG. 10B, the input data of the Nth pixel is overwritten in the comparison data area and temporarily stored. Since all ARGB components satisfy the approximation condition, the output data already stored in the area 1004 corresponding to the (N-1) th pixel in the input / output memory area 1001 in FIG. 10C is copied. By storing in the area 1002 of the Nth pixel, output data can be obtained without performing the color conversion process, and the speed of the color conversion process can be increased.

(Another embodiment according to the present invention)
Each means constituting the image processing apparatus and each step of the image processing method in the embodiment of the present invention described above can be realized by operating a program stored in a RAM or ROM of a computer. This program and a computer-readable recording medium on which the program is recorded are included in the present invention.

  In addition, the present invention can be implemented as a system, apparatus, method, program, storage medium, or the like, and can be applied to a system composed of a plurality of devices. Moreover, you may apply to the apparatus which consists of one apparatus.

  In the present invention, a software program (in the embodiment, a program corresponding to the flowcharts shown in FIGS. 2 to 7) for realizing the functions of the above-described embodiments is directly or remotely supplied to the system or apparatus. And the case where the computer of the system or apparatus also achieves by reading and executing the supplied program code.

  Accordingly, since the functions of the present invention are implemented by computer, the program code installed in the computer also implements the present invention. In other words, the present invention includes a computer program itself for realizing the functional processing of the present invention.

  In that case, as long as it has the function of a program, it may be in the form of object code, a program executed by an interpreter, script data supplied to the OS, and the like.

  As a recording medium for supplying the program, for example, hard disk, optical disk, magneto-optical disk, MO, CD-ROM, CD-R, CD-RW, magnetic tape, nonvolatile memory card, ROM, DVD (DVD- ROM, DVD-R).

  As another program supply method, the program can be supplied by connecting to a homepage on the Internet using a browser of a client computer and downloading the computer program of the present invention from the homepage to a recording medium such as a hard disk.

  It can also be realized by dividing the program code constituting the program of the present invention into a plurality of files and downloading each file from a different homepage. That is, a WWW server that allows a plurality of users to download a program file for realizing the functional processing of the present invention on a computer is also included in the present invention.

  In addition, the program of the present invention is encrypted, stored in a storage medium such as a CD-ROM, distributed to users, and key information for decrypting encryption from a homepage is provided to users who have cleared predetermined conditions. Thus, the encrypted program can be executed and installed in a computer.

  In addition, the functions of the above-described embodiments can be realized by an OS or the like running on the computer performing part or all of the actual processing based on the instructions of the program.

  Furthermore, after the program read from the recording medium is written in a memory provided in a function expansion board inserted into the computer or a function expansion unit connected to the computer, the function expansion board or The CPU or the like provided in the function expansion unit performs part or all of the actual processing, and the functions of the above-described embodiments are realized by the processing.

It is a block diagram which shows the schematic structure of the image processing apparatus in this Embodiment. It is a first flowchart showing the basic operation of the image processing apparatus according to the present embodiment. It is a 2nd flowchart which shows the operation | movement used as the basis of the image processing apparatus which concerns on this Embodiment. It is a 1st flowchart which determines the approximation condition with respect to input data from the color conversion matrix in the image processing apparatus which concerns on this Embodiment. It is a 2nd flowchart which determines the approximation condition with respect to input data from the color conversion matrix in the image processing apparatus which concerns on this Embodiment. It is a 1st flowchart which shows the approximation process with respect to the input data in the image processing apparatus which concerns on this Embodiment. It is a 2nd flowchart which shows the approximation process with respect to the input data in the image processing apparatus which concerns on this Embodiment. It is a 1st schematic diagram for demonstrating the color conversion process performed with the image processing apparatus which concerns on this Embodiment. It is a 2nd schematic diagram for demonstrating the color conversion process performed with the image processing apparatus which concerns on this Embodiment. It is a 3rd schematic diagram for demonstrating the color conversion process performed with the image processing apparatus which concerns on this Embodiment.

Explanation of symbols

101 CPU
102 ROM
103 RAM
104 Operation unit 105 Image processing unit 106 Display unit 107 Input device 108 Output device 801 Input memory area 802 Output memory area 803 Nth pixel input data area 804 N−1th pixel input data area 805 Nth pixel output Data area 806 N-1 pixel output data area 901 Input memory area 902 Output memory area 903 N pixel input data area 904 N-1 pixel input data area 905 N-1 pixel output data area 906 Nth pixel output data area 1001 Input / output memory area 1002 Nth pixel data area 1003 N−1th pixel data area 1004 Comparison data area

Claims (13)

Data comparison means for comparing input data with data adjacent thereto;
Condition determination means for determining whether the comparison result by the data comparison means satisfies the condition defined by the color conversion matrix;
If the result of the determination by the condition determination means satisfies the condition, a process for converting the output result of the adjacent data into the output data of the input data is performed; otherwise, the color conversion means for performing a normal color conversion process An image processing apparatus comprising: Data reading means for sequentially reading input data from the input memory;
Output data calculating means for calculating output data from the input data read by the data reading means by an operation defined by a color conversion matrix;
Output data storage means for sequentially storing the output data calculated by the output data calculation means in an output memory;
Approximation condition determining means for determining an approximation condition of each component of the input data read by the data reading means from a color conversion matrix;
Comparison data determining means for determining input data before the input data to be compared with the input data read by the data reading means;
Data comparison means for comparing the comparison data determined by the comparison data determination means with the input data read by the data reading means;
As a result of comparison by the data comparison means, approximation judgment means for judging whether or not the input data satisfies the approximation condition determined by the approximation condition determination means;
Reference data storage means for storing output data of the comparison data as output data of the input data in the output memory with respect to the input data determined to satisfy the approximation condition by the approximation determination means. An image processing apparatus.   The image processing apparatus according to claim 1, wherein the input data is pixel data including at least one component.   The image processing apparatus according to claim 3, wherein the input data is a pixel data component including at least one component.   5. The image processing apparatus according to claim 3, wherein the comparison data determination unit includes a determination unit that determines, as the comparison data, data input a predetermined number of pixels before the input data. .   The said comparison data determination means has a determination means to determine whether the data input only the predetermined number of bits before the said input data are made into the said comparison data. Image processing device.   When the input memory and the output memory are the same, the input data is stored in a different area from the input / output memory before the input data stored in the input / output memory is rewritten. The image processing apparatus according to claim 5, further comprising an input data storage unit configured to store the input data.   8. The image according to claim 1, wherein the condition defined by the color conversion matrix is a range in which a difference between two data to be compared does not affect an output to a device. Processing equipment. A data comparison process for comparing the input data with the data adjacent thereto;
A condition determination step for determining whether the comparison result by the data comparison step satisfies a condition defined by a color conversion matrix; and
If the determination result of the condition determination step satisfies the condition, a process of converting the output result of the adjacent data as the output data of the input data is performed; otherwise, a normal color conversion process is performed. An image processing method comprising: A data reading process for sequentially reading input data from the input memory;
An output data calculation step of calculating output data from the input data read by the data reading step by an operation defined by a color conversion matrix;
An output data storage step of sequentially storing output data calculated by the output data calculation step in an output memory;
An approximate condition determining step of determining an approximate condition of each component of the input data read by the data reading step from a color conversion matrix;
A comparison data determination step for determining input data before the input data to be compared with the input data read by the data reading step;
A data comparison step for comparing the comparison data determined by the comparison data determination step with the input data read by the data reading step;
As a result of the comparison in the data comparison step, an approximation determination step for determining whether or not the input data satisfies the approximation condition determined in the approximation condition determination step;
A reference data storage step of storing, in the output memory, output data of the comparison data as output data of the input data for the input data determined to satisfy the approximation condition by the approximation determination step. An image processing method characterized by the above. A data comparison process for comparing the input data with the data adjacent thereto;
A condition determination step for determining whether the comparison result by the data comparison step satisfies a condition defined by a color conversion matrix; and
If the determination result of the condition determination step satisfies the condition, a process of converting the output result of the adjacent data as the output data of the input data is performed; otherwise, a normal color conversion process is performed. A computer program for causing a computer to execute an image processing method including: A data reading process for sequentially reading input data from the input memory;
An output data calculation step of calculating output data from the input data read by the data reading step by an operation defined by a color conversion matrix;
An output data storage step of sequentially storing output data calculated by the output data calculation step in an output memory;
An approximate condition determining step of determining an approximate condition of each component of the input data read by the data reading step from a color conversion matrix;
A comparison data determination step for determining input data before the input data to be compared with the input data read by the data reading step;
A data comparison step for comparing the comparison data determined by the comparison data determination step with the input data read by the data reading step;
As a result of the comparison in the data comparison step, an approximation determination step for determining whether or not the input data satisfies the approximation condition determined in the approximation condition determination step;
An image having a reference data storage step of storing, in the output memory, output data of the comparison data as output data of the input data with respect to the input data determined to satisfy the approximation condition by the approximation determination step A computer program for causing a computer to execute a processing method.   A computer-readable recording medium on which the computer program according to claim 11 or 12 is recorded.

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