JP4101741B2 - Image processing apparatus, image forming apparatus, image processing method, image processing program, and recording medium - Google Patents

Description

  The present invention relates to an image processing method and an image processing apparatus that perform color conversion processing on input image data, and an image forming apparatus, a program, and a recording medium including the image processing method. The present invention relates to an image processing method and an image processing apparatus that perform black generation processing and undercolor removal processing, and an image forming apparatus, a program, and a recording medium including the same.

  In recent years, digitalization of office automation equipment has rapidly progressed, and the demand for color image output has increased. As a result, output devices such as electrophotographic digital color copiers and inkjet and thermal transfer color printers have become widely available. It has become popular. For example, image information input from an input device such as a digital camera or a scanner, or image information created on a computer is output using these output devices. In these input / output devices, it is necessary to always output an image with stable color reproduction for input image information, and color conversion (color correction) processing of digital image processing technology plays an important role. Plays.

  Here, the color conversion process is an output of a printer or the like from a signal in the color space of input image data, for example, R (red) G (green) B (blue), which is configured based on the document and the characteristics of the input device. It means a process of converting the output image data color space signal suitable for the device into, for example, C (cyan) M (magenta) Y (yellow).

  In the output device, not only CMY color materials (toner, ink, etc.) but also K (black) color materials are used. By using K color material, it becomes possible to reproduce dark colors that cannot be reproduced by CMY alone, and by using K color material, the amount of CMY color material used can be reduced, and gray reproducibility can be improved. (For example, see Non-Patent Document 1 and Non-Patent Document 2).

  However, there is a problem in that it is difficult to determine an appropriate black generation amount according to the type of document because the appropriate black generation amount differs between reproduction of dark and vivid colors and reproduction of gray such as black characters. . As a technique for solving this problem, for example, a technique described in Patent Document 1 has been proposed.

In the technique described in Patent Document 1, based on the difference (MAX−MIN) between the maximum value MAX and the minimum value MIN (MAX−MIN) of the color-corrected CMY signal and the minimum value MIN, a two-dimensional black generation / undercolor removal LUT is used. It has been disclosed that both the reproducibility of gray and the reproducibility of dark and vivid colors can be achieved by controlling the black generation amount using (Look Up Table).
JP 2003-60929 A (publication date February 28, 2003) Journal of the Japan Printing Society Vol.31 No.4 (1994) p.290-297 The Journal of the Electrophotographic Society, Vol.36, No.4 (1997) p.343-352

  However, in the conventional configuration described above, there is no information on the hue direction in the LUT used for obtaining the black generation amount. For this reason, for example, when there is a request to perform an appropriate black generation process according to the hue, such as particularly reducing the black generation amount with a memory color such as a skin color, the above-described conventional method cannot respond. There's a problem.

  The present invention has been made in view of the above problems, and an object thereof is to realize a color correction method capable of calculating an appropriate black generation amount / under color removal amount in consideration of the hue of input image data. There is to do.

  In order to solve the above problem, an image processing apparatus according to the present invention determines a hue of image data including a plurality of color components in an image processing apparatus that performs black generation processing on image data including a plurality of color components. Based on the results of the hue determination unit, the hue generation black generation amount calculation unit that calculates the hue generation black generation amount corresponding to each hue, and the hue determination unit for each of a plurality of predetermined hues. A black generation amount selection unit that selects a predetermined number of hue-corresponding black generation amounts from a plurality of hue-corresponding black generation amounts calculated by the corresponding black generation amount calculation unit, and for the selected predetermined number of hue-corresponding black generation amounts And a black generation amount interpolation calculation unit for calculating a black generation amount for the image data.

  Further, in the image processing apparatus, the hue-corresponding black generation amount calculation unit stores a plurality of predetermined parameters obtained based on the pixel values of the image data and the black generation amount on the reference axis in association with each other. Interpolates the one-dimensional table storage unit with a one-dimensional lookup table and the black generation amount on the reference axis read from the one-dimensional table storage unit, and corresponds to a predetermined hue. And a calculation unit for calculating the generated black generation amount.

  Further, in the image processing device, the hue-corresponding black generation amount calculation unit includes a predetermined parameter pair obtained based on the pixel value of the image data and a black generation amount corresponding to a predetermined hue. It is characterized by comprising a two-dimensional table storage section provided with a plurality of two-dimensional lookup tables to be stored correspondingly.

  The image processing apparatus further includes a region separation processing unit that separates image data including a plurality of color components into a plurality of regions, and the hue-corresponding black generation amount calculation unit includes a predetermined predetermined value. The black generation amount corresponding to the gray region is calculated in addition to the hue of the image, and the black generation amount interpolation calculation unit determines that the image data belongs to the black character region or the color blur region in the result of the region separation processing unit. In this case, the interpolation generation is not performed, and the black generation amount corresponding to the gray area obtained by the hue-corresponding black generation amount calculation unit is set as the black generation amount for the image data.

  In order to solve the above-described problem, another image processing apparatus according to the present invention performs an undercolor removal process on image data composed of a plurality of color components, and performs image data composed of a plurality of color components. Results of a hue determination unit that determines a hue, a hue-corresponding lower color removal amount calculation unit that calculates a hue-corresponding lower color removal amount corresponding to each hue for each of a plurality of predetermined hues, and a result of the hue determination unit The undercolor removal amount selection unit that selects a predetermined number of hue-corresponding undercolor removal amounts from the plurality of hue-corresponding undercolor removal amounts calculated by the hue-corresponding undercolor removal amount calculation unit, and the selected predetermined color And a lower color removal amount interpolation calculation unit that performs an interpolation calculation on a number of hue-corresponding lower color removal amounts and calculates a lower color removal amount for the image data.

  In the image processing apparatus, the hue-corresponding undercolor removal amount calculation unit stores a predetermined parameter obtained based on the pixel value of the image data in correspondence with the undercolor removal amount on the reference axis. A one-dimensional table storage unit having a plurality of one-dimensional look-up tables and an undercolor removal amount on the reference axis read from the one-dimensional table storage unit are subjected to an interpolation operation to obtain a predetermined predetermined value. And a calculation unit that calculates an under color removal amount corresponding to the hue.

  Further, in the image processing device, the hue-corresponding undercolor removal amount calculation unit includes a predetermined parameter pair obtained based on the pixel value of the image data and a undercolor removal amount corresponding to a predetermined hue. And a two-dimensional table storage unit having a plurality of two-dimensional lookup tables for storing them in correspondence with each other.

  The image processing apparatus further includes a region separation processing unit that separates image data including a plurality of color components into a plurality of regions, and the hue-corresponding undercolor removal amount calculation unit is determined in advance. The under color removal amount corresponding to the gray region in addition to the predetermined hue is calculated, and the under color removal amount interpolation calculation unit has the image data belonging to the black character region or the color blur region as a result of the region separation processing unit. If it is determined that the undercolor removal amount corresponding to the gray area obtained by the hue-corresponding undercolor removal amount calculation unit is not subjected to the interpolation calculation, the undercolor removal amount for the image data is used. It is said.

  In order to solve the above problems, an image forming apparatus according to the present invention includes any one of the above-described image processing apparatuses.

  In order to solve the above problem, an image processing method according to the present invention determines a hue of image data including a plurality of color components in an image processing method for performing black generation processing on image data including a plurality of color components. Based on the determination result of the hue determination step, the hue generation black generation amount calculation step for calculating the hue generation black generation amount corresponding to each hue for each of a plurality of predetermined hues, and the determination result of the hue determination step A black generation amount selection step of selecting a predetermined number of hue-corresponding black generation amounts from a plurality of hue-corresponding black generation amounts calculated in the hue-corresponding black generation amount calculation step, and the selected predetermined number of hue-corresponding black generation amounts And a black generation amount interpolation calculation step of calculating a black generation amount for the image data.

  The image processing method further includes a region separation processing step of separating image data composed of a plurality of color components into a plurality of regions, and the hue-corresponding black generation amount calculation step includes a predetermined predetermined hue. In addition, the black generation amount corresponding to the gray region is calculated. In the black generation amount interpolation calculation step, it is determined that the image data belongs to the black character region or the color blur region as a result of the region separation processing step. In this case, the interpolation generation is not performed, and the black generation amount corresponding to the gray area obtained in the hue-related black generation amount calculation step is set as the black generation amount for the image data.

  Another image processing method according to the present invention is an image processing method for performing undercolor removal processing on image data composed of a plurality of color components in order to solve the above-mentioned problem. Hue determination step for determining a hue, a hue-corresponding under-color removal amount calculation step for calculating a hue-corresponding under-color removal amount corresponding to each hue for each of a plurality of predetermined hues, and determination in the above-described hue determination step Based on the result, a lower color removal amount selecting step for selecting a predetermined number of hue corresponding lower color removal amounts from a plurality of hue corresponding lower color removal amounts calculated in the hue corresponding lower color removal amount calculating step, and the selected And a lower color removal amount interpolation calculation step of performing an interpolation operation on a predetermined number of hue-corresponding lower color removal amounts and calculating a lower color removal amount for the image data.

  The image processing method further includes a region separation process step of separating image data composed of a plurality of color components into a plurality of regions, and the hue-corresponding undercolor removal amount calculation step includes a predetermined predetermined value. The under color removal amount corresponding to the gray region in addition to the hue is calculated. In the under color removal amount interpolation calculation step, the image data belongs to the black character region or the color blur region as a result of the region separation processing step. If determined, the interpolation operation is not performed, and the under color removal amount corresponding to the gray area obtained in the hue corresponding under color removal amount calculating step is set as the under color removal amount for the image data. Yes.

  In order to solve the above problems, an image processing program according to the present invention causes a computer to function as each functional unit constituting the image processing apparatus.

  As described above, the image processing apparatus according to the present invention includes a hue determination unit that determines the hue of image data including a plurality of color components, and a hue corresponding to each hue for each of a plurality of predetermined hues. Based on the results of the hue-corresponding black generation amount calculation unit for calculating the black generation amount and the hue determination unit, a predetermined number of hue-corresponding blacks from the plurality of hue-corresponding black generation amounts calculated by the hue-corresponding black generation amount A black generation amount selection unit that selects a generation amount; and a black generation amount interpolation calculation unit that performs an interpolation operation on the selected predetermined number of hue-corresponding black generation amounts and calculates a black generation amount for the image data. I have.

  The hue-corresponding black generation amount calculation unit calculates a plurality of predetermined hues, for example, three types of hues of C, M, and Y, and six types of hues of C, M, Y, R, G, and B. The hue-related black generation amount corresponding to each hue is calculated. Further, the hue determination unit determines the hue of the image data. In this hue determination, for example, when a plurality of predetermined hues are three types of hues of C, M, and Y, the hue of the image data is a hue between C and Y. A judgment result is given.

Based on the result of the hue determination unit, the black generation amount selection unit selects a predetermined number of hue-corresponding black generation amounts from the plurality of hue-corresponding black generation amounts calculated by the hue-corresponding black generation amount calculation unit, and The generation amount interpolation calculation unit performs an interpolation calculation on the predetermined number of selected hue-corresponding black generation amounts, and calculates a black generation amount for the image data. For example, when it is determined that the hue of the image data is a hue between C and Y, a hue corresponding black generation amount corresponding to the C hue and a hue corresponding black generation amount corresponding to the Y hue are selected. The black generation amount for the image data that is a hue between C and Y is obtained by these interpolation operations.
Therefore, the image processing apparatus can calculate the black generation amount according to the hue of the input image data, and an appropriate black generation amount is set, so that the image quality can be improved.

  Further, in the image processing apparatus, the hue-corresponding black generation amount calculation unit stores a plurality of predetermined parameters obtained based on the pixel values of the image data and the black generation amount on the reference axis in association with each other. Interpolates the one-dimensional table storage unit with a one-dimensional lookup table and the black generation amount on the reference axis read from the one-dimensional table storage unit, and corresponds to a predetermined hue. And a calculation unit for calculating the generated black generation amount.

  The process for calculating the black generation amount corresponding to each hue in the hue-corresponding black generation amount calculation unit reads the black generation amount on the reference axis from the one-dimensional table storage unit based on a predetermined parameter, and is read out. This is obtained by performing an interpolation operation on the black generation amount in the calculation unit. For example, when trying to obtain the black generation amount corresponding to the C hue, it is conceivable to use the gray axis and the C axis as the reference axes. In other hues, it is conceivable to have only one table corresponding to the gray axis in common for each hue and to have only a table depending on the hue for each hue. Therefore, the memory usage for storing the table can be reduced.

  Further, in the image processing apparatus, the hue-corresponding black generation amount calculation unit includes a predetermined parameter pair obtained based on the pixel value of the image data and a black generation amount corresponding to a predetermined hue. It consists of a two-dimensional table storage unit having a plurality of two-dimensional lookup tables to be stored in correspondence.

  Therefore, there is an effect that the black generation amount corresponding to the hue can be obtained only by reading from the two-dimensional lookup table.

  The image processing apparatus further includes a region separation processing unit that separates image data including a plurality of color components into a plurality of regions, and the hue-corresponding black generation amount calculation unit includes a predetermined predetermined value. The black generation amount corresponding to the gray region is calculated in addition to the hue of the image, and the black generation amount interpolation calculation unit determines that the image data belongs to the black character region or the color blur region in the result of the region separation processing unit. In such a case, the interpolation generation is not performed, and the black generation amount corresponding to the gray area obtained by the hue-corresponding black generation amount calculation unit is set as the black generation amount for the image data.

  That is, the black character area and the color blur area are gray areas, and conversion by hue is not necessary. Therefore, an interpolation calculation is not performed in an area where interpolation by hue is not necessary, and an appropriate black generation amount can be calculated by using a table suitable for the gray area. In addition, the calculation amount can be reduced by not performing unnecessary interpolation calculation.

  As described above, the image processing apparatus according to the present invention includes a hue determination unit that determines the hue of image data including a plurality of color components, and a hue corresponding to each hue for each of a plurality of predetermined hues. Based on the results of the hue-corresponding undercolor removal amount calculation unit that calculates the undercolor removal amount and the hue determination unit, a predetermined number of hue-corresponding undercolor removal amounts calculated by the hue-corresponding undercolor removal amount calculation unit A lower color removal amount selection unit that selects a lower color removal amount corresponding to the hue, and an interpolation operation is performed on the selected predetermined number of lower hue removal amounts corresponding to the hues to calculate the lower color removal amount for the image data. And an under color removal amount interpolation calculation unit.

  The hue-corresponding undercolor removal amount calculation unit calculates a plurality of predetermined hues, for example, three types of hues of C, M, and Y, and six types of hues of C, M, Y, R, G, and B. , The hue-corresponding undercolor removal amount corresponding to each hue is calculated. Further, the hue determination unit determines the hue of the image data. In this hue determination, for example, when a plurality of predetermined hues are three types of hues of C, M, and Y, the hue of the image data is a hue between C and Y. A judgment result is given.

The under color removal amount selection unit selects a predetermined number of hue-corresponding under color removal amounts from the plurality of hue-corresponding under color removal amounts calculated by the hue-corresponding under color removal amount calculation unit based on the result of the hue determination unit. Then, the lower color removal amount interpolation calculation unit performs an interpolation operation on the selected predetermined number of hue-corresponding lower color removal amounts, and calculates the lower color removal amount for the image data. For example, when it is determined that the hue of the image data is a hue between C and Y, a hue-corresponding lower color removal amount corresponding to the C hue and a hue-corresponding lower color removal amount corresponding to the Y hue are selected. By these interpolation operations, the under color removal amount for the image data that is a hue between C and Y is obtained.
Therefore, the image processing apparatus can calculate the under color removal amount according to the hue of the input image data, and an appropriate under color removal amount is set, so that the image quality can be improved. Play.

  In the image processing apparatus, the hue-corresponding undercolor removal amount calculation unit stores a predetermined parameter obtained based on the pixel value of the image data in association with the undercolor removal amount on the reference axis. A one-dimensional table storage unit having a plurality of one-dimensional look-up tables and an undercolor removal amount on the reference axis read from the one-dimensional table storage unit are subjected to an interpolation operation to obtain a predetermined predetermined value. A calculation unit that calculates an under color removal amount corresponding to the hue.

  In the hue-corresponding undercolor removal amount calculation unit, the process of calculating the undercolor removal amount corresponding to each hue reads out the undercolor removal amount on the reference axis based on a predetermined parameter from the one-dimensional table storage unit, This is obtained by performing an interpolation operation on the read undercolor removal amount by the calculation unit. For example, when trying to obtain the undercolor removal amount corresponding to the C hue, it is conceivable to use the gray axis and the C axis as the reference axes. In other hues, it is conceivable to have only one table corresponding to the gray axis in common for each hue and to have only a table depending on the hue for each hue. Therefore, the memory usage for storing the table can be reduced.

  In the image processing apparatus, the hue-corresponding undercolor removal amount calculation unit includes a predetermined parameter pair obtained based on the pixel value of the image data and a undercolor removal amount corresponding to a predetermined hue. And a two-dimensional table storage unit having a plurality of two-dimensional look-up tables.

  Therefore, there is an effect that the undercolor removal amount corresponding to the hue can be obtained only by reading from the two-dimensional lookup table.

  The image processing apparatus further includes a region separation processing unit that separates image data including a plurality of color components into a plurality of regions, and the hue-corresponding undercolor removal amount calculation unit is determined in advance. The under color removal amount corresponding to the gray region in addition to the predetermined hue is calculated, and the under color removal amount interpolation calculation unit has the image data belonging to the black character region or the color blur region as a result of the region separation processing unit. When it is determined, the interpolation calculation is not performed, and the under color removal amount corresponding to the gray area obtained by the hue corresponding under color removal amount calculation unit is set as the under color removal amount for the image data.

  That is, the black character area and the color blur area are gray areas, and conversion by hue is not necessary. Therefore, an interpolation calculation is not performed in an area where interpolation by hue is not necessary, and an appropriate under color removal amount can be calculated by using a table suitable for the gray area. In addition, the calculation amount can be reduced by not performing unnecessary interpolation calculation.

  An embodiment of the present invention will be described below with reference to FIGS.

  First, FIG. 2 shows a configuration of a digital color copying machine as an embodiment of an image forming apparatus including a color image processing apparatus to which the present invention is applied. As shown in FIG. 2, the digital color copying machine includes a color image input device 10, a color image processing device 20, a color image output device 30, and an operation panel 40.

  The color image input device 10 is composed of, for example, a scanner unit equipped with a CCD (Charge Coupled Device), and a reflected light image from an original is converted into an RGB (R: red, G: green, B: blue) analog signal to the CCD. Are read and input to the color image processing apparatus 20.

  The color image output device 30 outputs image data onto a recording medium (for example, paper). Examples of the color image output device 30 include a color image output device using an electrophotographic method or an inkjet method. Is not particularly limited. The operation panel 40 is composed of a display unit including a setting button for setting the operation mode of the digital color copying machine, a numeric keypad, and a liquid crystal display.

  The color image processing apparatus 20 includes an A / D conversion unit 21, a shading correction unit 22, an input tone correction unit 23, a region separation processing unit 24, a color correction unit 25, a black generation and under color removal unit 26, and a spatial filter processing unit 27. , An output tone correction unit 28, and a tone reproduction processing unit 29.

  An analog signal read by the color image input device 10 is converted into an A / D conversion unit 21, a shading correction unit 22, an input tone correction unit 23, a region separation processing unit 24, and a color correction unit in the color image processing device 20. 25, the black generation and lower color removal unit 26, the spatial filter processing unit 27, the output gradation correction unit 28, and the gradation reproduction processing unit 29 are sent in this order and output to the color image output device 30 as a CMYK digital color signal. Is done.

  The A / D (analog / digital) converter 21 converts RGB analog signals into digital signals. The shading correction unit 22 performs processing for removing various distortions generated in the illumination system, the imaging system, and the imaging system of the color image input device 10 on the digital RGB signal sent from the A / D conversion unit 21. .

  The input tone correction unit 23 adjusts the color balance of the RGB signal (RGB reflectance signal) from which various distortions have been removed by the shading correction unit 22 and simultaneously supplies the color signal processing unit 20 with a color signal such as a density signal. A process of converting the signal into an easy-to-handle signal of the employed image processing system is performed.

  The region separation processing unit 24 separates each pixel in the input image into one of a character region, a halftone dot region, and a photographic region from the RGB signal sent from the input tone correction unit 23. Based on the separation result, the region separation processing unit 24 generates a region identification signal indicating which region each pixel belongs to, as a black generation and under color removal unit 26, a spatial filter processing unit 27, and a gradation reproduction processing unit 29. The input signal output from the input tone correction unit 23 is output to the subsequent color correction unit 25 as it is.

  The color correction unit 25 performs a process of removing color turbidity based on spectral characteristics of CMY (C: cyan, M: magenta, Y: yellow) color materials including unnecessary absorption components in order to realize faithful color reproduction. .

  The black generation and under color removal unit 26 generates a black (K) signal from the color-corrected CMY three-color signal output from the color correction unit 25, and a portion where the CMY signal overlaps the original CMY signal Under color removal processing for generating a new CMY signal by subtracting. In the black generation and under color removal unit 26, the CMY three-color signal is converted into a CMYK four-color signal.

  The spatial filter processing unit 27 performs spatial filter processing using a digital filter on the image data of the CMYK signal input from the black generation and under color removal unit 26 based on the region identification signal, thereby correcting the spatial frequency characteristics. Processing is performed to prevent blurring of the output image and deterioration of graininess. The output tone correction unit 28 performs output tone correction processing for converting the density signal into a halftone dot area ratio that is a characteristic value of the color image output device. Similar to the spatial filter processing unit 27, the gradation reproduction processing unit 29 also performs predetermined processing on the image data of the CMYK signal based on the region identification signal.

  For example, a region separated into characters by the region separation processing unit 24 is subjected to sharp enhancement processing by spatial filter processing by the spatial filter processing unit 27 in order to improve the reproducibility of black characters or color characters in particular, and high-frequency components are reduced. Emphasize. At the same time, the gradation reproduction processing unit 29 selects binarization or multi-value processing on a high-resolution screen suitable for reproducing high-frequency components.

  In addition, with respect to the region separated into halftone dots by the region separation processing unit 24, the spatial filter processing unit 27 performs low-pass filter processing for removing the input halftone component. Then, binarization or multilevel conversion is performed on the screen with an emphasis on gradation reproducibility. With respect to the region separated into photographs by the region separation processing unit 24, binarization or multi-value processing is performed on the screen with an emphasis on gradation reproducibility.

  The image data subjected to the above-described processes is temporarily stored in a storage means (not shown), read at a predetermined timing, and input to the color image output device 30. The above processing is controlled by a CPU (Central Processing Unit) (not shown).

  An object of the image processing apparatus according to the present invention is to calculate an appropriate black generation amount / undercolor removal amount for a predetermined hue. In order to achieve this object, the color image processing apparatus 20 according to the present embodiment is particularly characterized by the processing in the black generation and under color removal unit 26. Hereafter, the configuration and processing of the black generation and under color removal unit 26 will be described in detail.

  First, a schematic configuration of the black generation and under color removal unit 26 is shown in FIG. The black generation / under color removal unit 26 includes a black generation unit 261 and an under color removal unit 262. Further, the lower color removal unit 262 includes a lower color removal amount calculation unit 263 and a lower color removal processing unit 264. The black generation unit 261 calculates the black signal (K) from the color-corrected CMY signal and sends it to the subsequent processing unit (spatial filter processing unit 27 in the example of FIG. 2).

  The under color removal unit 262 calculates the under color removal amount (UCR) with the under color removal amount calculation unit 263. Then, the under color removal processing unit 264 subtracts the color-corrected CMY signal using the following equation (1) based on the under color removal amount calculated by the under color removal amount calculation unit 263 to remove the under color removal. The processed C′M′Y ′ signal is sent to the subsequent processing unit.

  The black signal (K) calculation process in the black generation unit 261 and the under color removal amount (UCR) calculation process in the under color removal amount calculation unit 263 may have basically the same calculation method. it can. Therefore, in the following description, the present invention will be described in detail by taking the configuration and operation of the black generation unit 261 as an example.

  One configuration example of the black generation unit 261 is shown in FIG. The black generation unit 261 illustrated in FIG. 1 includes a hue determination unit 2611, a maximum / minimum value calculation unit 2612, a gray axis one-dimensional black generation table 2613, and a high saturation axis one-dimensional black generation table 2614-n corresponding to each hue. (N = 1,..., N), a black generation amount calculation unit 2615-n (n = 1,..., N) corresponding to each hue, a black generation amount selection unit 2616, and a black generation amount interpolation calculation unit 2617. The

  The CMY signal after color correction is input to the black generation unit 261 from the preceding processing unit (the color correction unit 25 in the example of FIG. 2), and this CMY signal is calculated by the hue determination unit 2611 and the maximum / minimum value calculation. Input to the unit 2612.

  The hue determination unit 2611 determines the hue of each pixel signal from the color-corrected signal CMY, and generates a hue determination signal indicating to which hue the signal being processed belongs. The hue determination signal generated by the hue determination unit 2611 is sent to the black generation amount selection unit 2616 and the black generation amount interpolation calculation unit 2617.

  In the maximum value / minimum value calculation unit 2612, in the signal CMY after color correction, the minimum value MIN (= min (C, M, Y)) and the maximum value MAX (= max (C, M, Y) of each pixel in each pixel. Y)) is calculated. The minimum value MIN calculated by the maximum value / minimum value calculating unit 2612 is a first parameter for the gray axis one-dimensional black generation table 2613, a one-dimensional black generation table 2614-n for the high saturation axis, and a black generation amount calculation unit 2615-. The maximum value MAX is sent as a second parameter to each of the black generation amount calculation units 2615-n.

  Processing in the gray axis one-dimensional black generation table 2613 and the high saturation axis one-dimensional black generation table 2614-n will be described as follows.

  As the one-dimensional black generation table, there are one gray axis one-dimensional black generation table 2613 and N high-saturation axis one-dimensional black generation tables 2614-1 to 2614 -N corresponding to each hue (N types). It is prepared. In these one-dimensional black generation tables, the K value corresponding to the minimum value MIN is read using the minimum value MIN calculated by the maximum value / minimum value calculation unit 2612.

That is, one-dimensional black generation table 2613 for gray axis, and on the gray axis (MIN = MAX become axis) of the MIN-MAX plane, it outputs a black generation amount _{K G} in the case of the input of the minimum value MIN table It is. The one-dimensional black generation table 2614-n for the high saturation axis is the black generation amount when the minimum value MIN is input on the high saturation axis (axis where MAX = 255) corresponding to the hue n on the MIN-MAX plane. It is a table that outputs K _Cn . In the one-dimensional black generation table 2614-n for the high saturation axis, the value of the black generation amount stored corresponding to the minimum value MIN differs depending on the corresponding hue, so that the black generation corresponding to the hue is generated. The amount can be determined.

The black generation amount calculation unit 2615-n, and black generation amount K _G read from the 1-dimensional black generation table 2613 for gray axis, black generation amount read from the one-dimensional black generation table 2614-n for the high chroma axis Based on K _Cn , a black generation amount K _Hn corresponding to each hue is calculated.

That is, the black generation amount K _G inputted in each of the black generation amount calculation unit 2615-n, as shown in FIG. 4, it is only one because the table for gray axis is not dependent on hue, for the gray axis black generation amount _{K G} read from the 1-dimensional black generation table 2613 can be shared. Further, a black generation amount K _Cn inputted in each of the black generation amount calculation unit 2615-n, the corresponding black generation amount read from the high chroma dimensional black generation table for axial 2614-n hue K _Cn input Is done.

A method of calculating the black generation amount K _{Hn in} the black generation amount calculation unit 2615-n will be described below with reference to FIGS. 5 (a) and 5 (b).

The black generation amount calculation unit 2615-n corresponding to the hue n, as described above, the black generation amount K _G read from the 1-dimensional black generation table 2613 for the gray axis, a high chroma axis corresponding to the same hue n The black generation amount K _Cn read from the one-dimensional black generation table 2614-n is input. Here, black generation amount K _G is a black generation amount read from the table in response to the point, expressed by a white circle on the gray axis in FIG. 5 (a), the black generation amount K _Cn on the high chroma axis The black generation amount read from the table corresponding to the points represented by white circles.

Calculation of black generation amount K _Hn of black generation amount calculation unit 2615-n, as shown in FIG. 5 (b), are determined by interpolation calculation using a black generation amount K _Cn and black generation amount K _G. That is, the black generation amount calculation unit 2615-n corresponding to the hue n uses the minimum value MIN that is the first parameter, the maximum value MAX that is the second parameter, the black generation amount K _G , and the black generation amount K _Cn . It is obtained by the following equation (2).

The black generation amount K _Hn calculated by the above equation (2) is obtained as the black generation amount corresponding to the point of coordinates (MIN, MAX) in FIG. The black generation amount K _Hn (n = 1,..., N) obtained by each black generation amount calculation unit 2615-n is sent to the black generation amount selection unit 2616.

In the black generation amount selection unit 2616, in addition to the black generation amount K _Hn obtained by each black generation amount calculation unit 2615-n, a hue determination signal output by the hue determination unit 2611 is input. The black generation amount selection unit 2616 selects two of the black generation amounts K _{H1 to} K _HN based on the hue determination signal (that is, based on the hue determined by the hue determination unit 2611), and K ₁ , and outputs it to the black generation amount interpolation operation unit 2617 as K _2.

Here, a hue determination method in the hue determination unit 2616 and a black generation amount K ₁ , K ₂ selection method in the black generation amount selection unit 2616 based on the determination result will be described below.

  First, a determination method in the case where three types of hues C, M, and Y are used will be described with reference to FIG. In this case, as shown in FIG. 6, in the CMY signal after color correction, the C component value is divided into three cases: the minimum value of the C component, the minimum value of the M component, and the minimum value of the Y component. The hue determination unit 2616 outputs a hue determination signal corresponding to each case. Further, in this case, the black generation amount calculation unit 2615-n provided in the black generation unit 261 is three (n = 1, 2, 3). For example, the black generation amount calculation unit 2615-1 corresponding to the hue 1 is The black generation amount in the hue of C (black generation amount obtained in a plane including the gray axis and the C axis), and the black generation amount calculation unit 2615-2 corresponding to the hue 2 And the black generation amount calculation unit 2615-3 corresponding to hue 3 calculates the black generation amount in the hue of Y (in the plane including the gray axis and the Y axis). The amount of black produced) is calculated.

In the black generation amount selection unit 2616, when the hue determination signal indicates that the value of the C component is minimum, the output from the black generation amount calculation unit 2615-2 corresponding to the M hue is output as K ₁ and Y. and outputs it to the black generation interpolation calculation unit 2617 outputs from the black generation calculation unit 2615-3 corresponding to the hue as _{K 2.} Similarly, when it is indicated that the value of the M component is the minimum, the output from the black generation amount calculation unit 2615-3 corresponding to the hue of Y is the black generation calculation unit 2615- corresponding to the hue of K ₁ and C. If the output from 1 is K ₂ and the value of the Y component is indicated as the minimum, the output from the black generation amount calculation unit 2615-1 corresponding to the C hue corresponds to the K ₁ and M hues. the output from the black generation calculation unit 2615-2 and _{K 2.}

  As another example of FIG. 6, a case where six types of hues C, M, Y, R, G, and B are used will be described with reference to FIGS. 7A to 7C.

  When the six types of hues are used, the black generation amount calculation unit 2615-n included in the black generation unit 261 is six (n = 1,..., 6). In this case, for example, the black generation amount calculation unit 2615-n corresponding to the hues 1 to 3 is assumed to correspond to the hues of C, M, and Y as in the above case, and the black corresponding to the hues 4 to 6 is assumed. The generation amount calculation unit 2615-n is assumed to correspond to each hue of R, G, and B. That is, the black generation amount calculation unit 2615-4 corresponding to the hue 4 generates a black generation amount in the R hue (a black generation amount obtained in a plane including the gray axis and the R axis) and a black generation amount corresponding to the hue 5. The calculation unit 2615-2 is a black generation amount in the G hue (black generation amount obtained in a plane including the gray axis and the G axis), and the black generation amount calculation unit 2615-6 corresponding to the hue 6 is in the B hue. Assume that a black generation amount (a black generation amount obtained in a plane including the gray axis and the B axis) is calculated. As shown in FIGS. 7A to 7C, in the CMY space, the R axis is represented by an axis where C = 0 and M = Y, and the G axis is M = 0 and C = Y. And the B axis is represented by an axis where Y = 0 and C = M.

  Here, Y> C = M in the case of Y hue as can be seen from FIG. 7A, and Y = C> M in the case of G hue as can be seen from FIG. 7C. Therefore, in the hue between Y and G, a relationship of Y> C> M is established as shown in FIG. That is, when the relationship of Y> C> M is satisfied in the CMY signal after color correction, it can be determined that the hue in this case is a hue between Y and G.

  Therefore, when the above six types of hues are used, the hue determination unit 2616 compares the magnitude relationships of the C, M, and Y components in the color-corrected CMY signals, and Y, R, and R are compared in the same manner as described above. And M, M and B, B and C, and C and G are judged, and a hue judgment signal corresponding to each is outputted.

The black generation amount selection unit 2616 outputs the output from the black generation amount calculation unit corresponding to the hue of Y in the hue represented by the hue determination signal, for example, the hue between Y and G, to the black corresponding to the hues of K ₁ and G. the output from the generator calculating unit outputs to the black generation amount interpolation operation unit as K _2. Similarly, the black generation amount selection unit 2616 outputs the output from the black generation amount calculation unit corresponding to the hue of Y in the hue between Y and R from the black generation calculation unit corresponding to the hue of K ₁ and R. the output and K _2, the output from the black generation calculator output corresponding to the hue of K _1, M from the black generation amount calculation unit corresponding to the hue of the R and K ₂ in hue between R and M In the hue between M and B, the output from the black generation amount calculation unit corresponding to the hue of M is K ₁ , the output from the black generation calculation unit corresponding to the hue of B is K _2, and B and C The hue from the black generation amount calculation unit corresponding to the hue of B is K ₁ , the output from the black generation calculation unit corresponding to the hue of C is K _2, and the hue between C and G is The output from the black generation amount calculation unit corresponding to the C hue is K ₁ , and the output from the black generation calculation unit corresponding to the G hue is K ₂ .

The black generation amount interpolation calculation unit 2617 includes the black generation amounts K ₁ and K ₂ selected by the black generation amount selection unit 2616, the black generation amount K _G read from the one-dimensional black generation table 2613 for gray axis, and the hue. The hue determination signal output from the determination unit 2611 and the region identification signal output from the region separation processing unit 24 are input.

The black generation amount interpolating arithmetic unit 2617, based on the region identification signal first determined to output the black generation amount K _G, is whether to output the black generation amount obtained by interpolation from the black generation amount K ₁ and K ₂ determined Is done. That is, when it is determined by the area identification signal that the area is a character area or a color blur area, these areas are gray areas and need not be interpolated by hue, and are read from the gray axis one-dimensional black generation table 2613. and the black generation amount K _G outputted as it is as the K signal, calculates a black generation amount by interpolation between hue with black generation amount K ₁ and K ₂ for the other area identification signal.

First, an interpolation calculation method when three types of hues C, M, and Y are used will be described. When the hue determination signal indicates a hue when C is the minimum, K ₁ is a black generation amount corresponding to the hue of M, K ₂ is a black generation amount corresponding to the hue of Y, and The optimum value of K is finally obtained by interpolation calculation according to the equation (3). In the case of other hues, the calculation is performed in the same manner, but the calculation formula used is different. Therefore, the black generation amount interpolation calculation unit 2617 switches the calculation formula used based on the hue determination signal.

Incidentally, in the case of C = M = Y is a black generation amount interpolation operation unit 2617 does not perform the interpolation operation, it is possible to output a black generation amount K _G of the gray area corresponds directly as K signal . Further, when two of C, M, and Y have the same value and the minimum value, the result of the above-described interpolation calculation is the same regardless of which of the two color components having the same minimum value is the minimum value. Therefore, it is conceivable to prioritize the interpolation formula and use a formula with a high priority.

An interpolation calculation method in the case where six types of hues C, M, Y, R, G, and B are used will be described as follows. For example, in the case of a hue between Y and G, K ₁ is a black generation amount corresponding to the Y hue, and K ₂ is a black generation amount corresponding to the G hue. The optimum value of K is finally obtained by the interpolating operation. In the case of other hues, the calculation is performed in the same manner, but the calculation formula used is different. Therefore, the black generation amount interpolation calculation unit 2617 switches the calculation formula used based on the hue determination signal.

  The processing in the black generation unit 261 described above will be described with reference to the flowchart of FIG.

  First, the CMY signal input to the black generation unit 261 is input to the hue determination unit 2611 and the maximum / minimum value calculation unit 2612. The hue determination unit 2611 determines the hue of the input CMY signal (S1). The maximum value / minimum value calculation unit 2612 calculates the maximum value MAX (= max (C, M, Y)) and the minimum value MIN (= min (C, M, Y)) in the input CMY signal ( S2).

Maximum and minimum values the maximum value MAX and minimum value MIN mother calculated in the calculation unit 2612, the process of reading the black generation amount K _G in one-dimensional black generation table 2613 for gray axis (S3), one-dimensional for high chroma axis This is used for the process of reading the black generation amount K _Cn in the black generation table 2614-n (S4). The processes of S3 and S4 are performed in parallel.

When a black generation amount K _G and the n black generation amount K _Cn is obtained by using these black generation amount, the black generation amount K _Hn corresponding to each color by the black generation amount calculation unit 2615-n are determined (S5). The processing of S1 and the processing of S2 to S5 are performed in parallel.

  Based on the hue determination signal indicating the hue determined in S1, two black generation amounts are selected from the black generation amounts corresponding to the hues determined in S5 (S6). Further, based on the region separation result determined by the region separation processing unit 24 preceding the black generation unit 261, the CMY signal (that is, the pixel of interest) that is the target of the current stage processing is a character region or a color blur region. It is determined whether it belongs to (S7).

If the pixel of interest is a character region or a color fringing region, and outputs the black generation amount K _G read from the table for the gray axis as the output K of the black generation unit 261 in S3 (S8). If the target pixel is an area other than the above sentence, an interpolation calculation is performed using the black generation amount selected in S6 to obtain a black generation amount K, which is output (S9).

  In the above description, the configuration and operation of the black generation unit 261 are described as an example. However, the configuration and operation of the lower color removal amount calculation unit 263 in the lower color removal unit 262 are basically the same as those of the black generation unit 261. . For this reason, the configuration of the under color removal amount calculation unit 263 is as shown in FIG. 9, for example.

  The under color removal calculation unit 263 shown in FIG. 9 includes a hue determination unit 2631, a maximum / minimum value calculation unit 2632, a gray axis one-dimensional under color removal table 2613, and a high saturation axis one-dimensional under color removal corresponding to each hue. Table 2634-n (n = 1,..., N), under color removal amount calculation unit 2635-n (n = 1,..., N) corresponding to each hue, under color removal amount selection unit 2636, under color removal amount An interpolation calculation unit 2637 is included.

  In the under color removal calculation unit 263, the configuration and operation of the hue determination unit 2631 and the maximum / minimum value calculation unit 2632 are the same as the configuration and operation of the hue determination unit 2611 and the maximum / minimum value calculation unit 2612 in the black generation unit 261. Is the same. The gray axis one-dimensional under color removal table 2633 and the high saturation axis one-dimensional under color removal table 2634-n corresponding to each hue are different depending on whether the table data to be used is a black generation table or a lower color removal table. The operation of reading the corresponding table value from the minimum value MIN is the same as the one-dimensional black generation table 2613 for gray axis and the one-dimensional black generation table 2614-n for high saturation axis corresponding to each hue in the black generation unit 261. It is.

The processes in the under color removal amount calculation unit 2635-n, the under color removal amount selection unit 2636, and the under color removal amount interpolation calculation unit 2637 are performed using K _G , K _Cn , K _Hn , K ₁ , and K _2. Instead of obtaining UCR _G , UCR _Cn , UCR _Hn , UCR ₁ , UCR ₂ , UCR is obtained, but the processing method is basically the black generation amount calculation unit 2615-n in the black generation unit 261, the black generation amount The selection unit 2616 is the same as the black generation amount interpolation calculation unit 2617.

  The processing in the black generation and under color removal unit 26 described above will be described with reference to the flowchart of FIG.

  In the black generation and under color removal unit 26, the black generation processing (S11) in the black generation unit 261 and the under color removal processing (S12 to S13) in the under color removal unit 262 are performed in parallel. That is, the black generation unit 261 calculates an optimal black generation amount K from the input CMY signal (S11). Also, the under color removal unit 262 calculates an optimum under color removal amount UCR from the input CMY signal (S12), and subtracts each component of the original CMY signal from this UCR to perform CMY after under color removal. A signal is obtained (S13).

  The black generation unit 261 having the configuration shown in FIG. 1 employs a method using reading of a table value from a one-dimensional table and interpolation calculation in order to obtain a black generation amount corresponding to each hue. Such a method using a one-dimensional table has an advantage that the amount of memory for storing the table can be reduced. However, the present invention is not limited to such a method. For example, it is possible to apply a method using a two-dimensional table in order to obtain a black generation amount corresponding to each hue.

  A method of using a two-dimensional table for obtaining a black generation amount corresponding to each hue will be described below with reference to FIGS.

  In this case, for the combination of the minimum value MIN and the maximum value MAX, a two-dimensional table storing the corresponding black generation amount is used. In this two-dimensional table, black generation amounts at all grid points in the hatched area in FIG. 11 exist as table values. Therefore, by simply reading the table values for the combination of MIN and MAX, the black corresponding to each hue is read. The production amount can be determined. Further, as the two-dimensional table, as shown in FIG. 12, a table corresponding to each hue is prepared.

  When the above-described two-dimensional table is used to obtain the black generation amount corresponding to each hue, a configuration such as a black generation unit 265 shown in FIG. 13 is considered instead of the black generation unit 261 shown in FIG. It is done.

  13 includes a hue determination unit 2651, a maximum / minimum value calculation unit 2652, a two-dimensional black generation table 2653 corresponding to a gray area, and a two-dimensional black generation table 2654-n (corresponding to each hue). n = 1,..., N), a black generation amount selection unit 2656, and a black generation amount interpolation calculation unit 2657. Note that the two-dimensional black generation table 2653 has an appropriate black generation amount (for example, a black generation amount when no blur occurs) in consideration of the fact that saturation occurs even in the gray area due to blurring (MAX increases). Has been created to obtain. In FIG. 13, the one-dimensional black generation table 2613 shown in FIG. 1 may be used instead of the two-dimensional black generation table 2653.

  In the black generation unit 265, the configuration and operation of the hue determination unit 2651 and the maximum value / minimum value calculation unit 2652 are the same as the configuration and operation of the hue determination unit 2611 and the maximum value / minimum value calculation unit 2612 in the black generation unit 261. It is.

The maximum value MAX and the minimum value MIN obtained by the maximum value / minimum value calculation unit 2652 are input to the two-dimensional black generation tables 2653 and 2654-n. The combination of the maximum value MAX and minimum value MIN, a black generation amount K _G corresponding to the gray area from the two-dimensional black generation table 2653 is read, corresponding to each color from the two-dimensional black generation table 2654-n The black generation amount K _Hn is read out.

The black generation amount selection unit 2656 receives the black generation amount K _Hn corresponding to each hue and receives two of the black generation amounts K _{H1 to} K _HN based on the hue determination signal output by the hue determination unit 2651. Select and output to the black generation amount interpolation calculation unit 2657 as K ₁ and K ₂ . The configuration and operation of the black generation amount selection unit 2656 are the same as the configuration and operation of the black generation amount selection unit 2616 in the black generation unit 261.

The black generation amount interpolation calculation unit 2657 includes the black generation amounts K ₁ and K ₂ selected by the black generation amount selection unit 2656, the black generation amount K _G read from the two-dimensional black generation table 2653, and the hue determination unit 2651. And a region identification signal output from the region separation processing unit 24 are input. The configuration and operation of the black generation amount interpolation calculation unit 2657 are the same as the configuration and operation of the black generation amount interpolation calculation unit 2617 in the black generation unit 261.

  Also in the under color removal process, a two-dimensional table can be used to obtain the under color removal amount corresponding to each hue as in the black generation process. When a two-dimensional table is used to obtain the under color removal amount corresponding to each hue, a lower color removal amount calculation unit 266 shown in FIG. 14 is used instead of the under color removal amount calculation unit 263 shown in FIG. Configuration is conceivable.

  The under color removal calculation unit 266 shown in FIG. 13 includes a hue determination unit 2661, a maximum / minimum value calculation unit 2662, a two-dimensional under color removal table 2663 corresponding to a gray area, and a two-dimensional under color removal table corresponding to each hue. 2664-n (n = 1,..., N), a lower color removal amount selection unit 2666, and a lower color removal amount interpolation calculation unit 2667. Note that the two-dimensional undercolor removal table 2663 takes into account the amount of undercolor removal (for example, undercolor when there is no blurring) taking into account that saturation occurs in the gray area due to blurring (MAX increases). (Removal amount) is obtained. In FIG. 14, a one-dimensional under color removal table 2633 shown in FIG. 9 may be used instead of the two-dimensional under color removal table 2663.

  In the lower color removal calculation unit 263, the configuration and operation of the hue determination unit 2661 and the maximum value / minimum value calculation unit 2662 are the same as the configuration of the hue determination unit 2631 and the maximum value / minimum value calculation unit 2632 in the lower color removal calculation unit 263. And the operation is the same. The two-dimensional under color removal table 2663 and the two-dimensional under color removal table 2664-n corresponding to each hue are read by the black generation unit 265 in the operation of reading the corresponding table value from the combination of the minimum value MIN and the maximum value MAX. The two-dimensional black generation table 2653 and the two-dimensional black generation table 2654-n corresponding to each hue are the same, and only the difference is whether the table data to be used is a black generation table or a lower color removal table.

  The configurations and operations of the lower color removal amount selection unit 2666 and the lower color removal amount interpolation calculation unit 2667 are the same as the configurations and operations of the lower color removal amount selection unit 2636 and the lower color removal amount interpolation calculation unit 2637 in the lower color removal calculation unit 263. The same.

  In the above description, the black generation amount interpolation calculation unit in the black generation unit and the lower color removal amount interpolation calculation unit in the lower color removal calculation unit receive the input of the region identification signal and based on the region identification signal, the final black The generation amount K or the undercolor removal amount UCR is determined.

  The region identification signal is obtained by the region separation processing unit 24 shown in FIG. 2, and an example of the region separation method will be described below.

  For example, a method described in Japanese Patent Application Laid-Open No. 2001-223915 can be used as a region separation method for separating input image data into character, halftone dot, and photographic regions and further discriminating color blur regions. First, a method for separating input image data into characters, halftone dots, and photo areas will be described. In this case, the following determination is performed within a block of M × N (M and N are natural numbers) pixels centered on the pixel of interest, and this is used as a region identification signal of the pixel of interest.

  An average value (Dave) of signal levels is obtained for the central nine pixels in the block, and each pixel in the block is binarized using the average value. Further, the maximum pixel signal level (Dmax) and the minimum pixel signal level (Dmin) are also obtained at the same time.

In the halftone dot region, the halftone dot region is identified by utilizing the fact that the fluctuation of the image signal in the small region is large and the density is higher than the background. Specifically, for the binarized data, the number of change points from 0 to 1 in the main scanning and sub-scanning directions is obtained, and the number of change points from 1 to 0 is obtained as Kh and Kv, respectively. When both of the threshold values exceed the threshold values as compared with TH and TV, the halftone dot region is set. Further, in order to prevent erroneous determination with the background, Dmax, Dmin, and Dave are compared with threshold values B1 and B2. That is,
Dmax−Dave> B1, and
Dave-Dmin> B2, and
KH> TH and
KV> TV
When the above condition is satisfied, it is determined as a halftone dot region, and when the above condition is not satisfied, it is determined as a non-halftone dot region.

Next, in the character area, since the difference between the maximum signal level and the minimum signal level is large and the density is considered high, the character area is identified as follows. The maximum and minimum signal levels previously obtained in the non-halftone area and their difference (Dsub) are compared with the threshold values PA, PB, and PC, respectively. If the following conditions are satisfied, the character area and conditions must be satisfied. For example, the photo area. That is,
Dmax> PA or
Dmin <PB or
Dsub> PC
If so, it is determined as a character area, otherwise it is determined as a photo area.

Finally, it is determined whether or not color blur has occurred in the character region extracted by the above method. As a method for determining a color blur area, since color blur occurs outside the edge of a black character, the area including a character area and its neighboring pixels (for example, about several pixels) is determined using the following conditions. That is, the target pixel is
A color blur area is determined as one that satisfies the three conditions of being a chromatic color, an edge, or a pixel in the black character area in any of the surrounding pixels.

  In the above description, an example in which the present invention is applied to each of the black generation processing and the under color removal processing is shown. However, as described above, when the black generation process and the under color removal process are performed as independent processes, the present invention is applied only to one of the black generation process and the under color removal process, and on the other hand, the method according to the prior art. May be used. For example, the black generation amount is calculated by the method of the present invention, and the undercolor removal amount is referred to from the minimum value (see the following equation (5): Note that in equation (5), α is a UCR (Under Color Removal). ) Represents the rate). Of course, on the contrary, the under color removal amount may be calculated by the method of the present invention, and the black generation amount may be calculated by a conventional method referring from the minimum value.

  Even when the present invention is applied to both the black generation unit and the under color removal calculation unit, different methods can be applied to the black generation unit and the under color removal calculation unit. For example, the black generation unit 261 shown in FIG. 1 and the under color removal calculation unit 266 shown in FIG. 14 are used in combination, or the black generation unit 265 shown in FIG. 13 and the under color removal calculation unit 263 shown in FIG. 9 are combined. May be used. Further, the type of hue used may be different between the black generation unit and the under color removal calculation unit.

  Furthermore, when the present invention is applied to both the black generation unit and the under color removal calculation unit, and the same hue is used (for example, C, M, When three types of hues Y are used, or when six types of hues C, M, Y, R, G, and B are used in both the black generation unit and the under color removal calculation unit), the black generation unit It is also possible to share the hue determination unit between the color removal calculation unit and the under color removal calculation unit.

  Further, in the example according to the present embodiment, the minimum value MIN and the maximum value MAX are used as parameters for reading the black generation amount from the table or performing the interpolation calculation in the black generation unit or the under color removal calculation unit. In the present invention, the types of parameters used are not particularly limited. However, when the present invention is applied to both the black generation unit or the under color removal calculation unit and the common parameters are used in the black generation unit or the under color removal calculation unit, the black generation unit and the under color removal calculation are used. It is also possible to share parameter calculation means (maximum value / minimum value calculation unit in the example according to the present embodiment) with each other.

  The image processing method of the present invention can be realized as software (application program). In this case, the computer can be provided with a printer driver incorporating software for realizing the black generation and undercolor removal processing.

  As shown in FIG. 15, a computer 100 according to the present invention incorporates a printer driver 110, a communication port driver 120, and a communication port. The printer driver 110 includes a color correction unit 111, a black generation and under color removal unit 112, a gradation reproduction processing unit 113, and a printer language translation unit 114. The color correction unit 111, the black generation lower color removal unit 112, and the gradation reproduction processing unit 113 are the same processes as the color correction unit 25, the black generation lower color removal unit 26, and the gradation reproduction processing unit 29 illustrated in FIG. Is to do.

  The computer 100 is connected to a printer (image output device) 150, and the printer 150 outputs an image in accordance with image data output from the computer 100.

  Image data generated by executing various application programs in the computer 100 is subjected to the above-described processing by the color correction unit 111, the black generation and under color removal unit 112, and the gradation reproduction processing unit 113. The image data subjected to the above processing is converted into a printer language by the printer language translation unit 114 and input to the printer 150 via the communication port driver 120 and the communication port 130 (for example, RS232C / LAN). The printer 150 may be a digital complex machine having a copy function and a fax function in addition to the printer function.

  The present invention also provides a computer-readable recording medium that records a program to be executed by a computer, in which a one-dimensional LUT and an image processing method for performing black generation and undercolor removal processing by interpolation are recorded. You can also As a result, it is possible to provide a portable recording medium on which a one-dimensional LUT and a program for performing an image processing method for performing black generation and undercolor removal processing by interpolation calculation are recorded.

  The recording medium may be a non-illustrated memory, for example, a program medium such as a ROM because processing is performed by a microcomputer, and a program reading device as an external storage device (not illustrated) is provided, and the recording medium is stored therein. It may be a program medium that can be read by being inserted.

  In any case, the stored program may be configured to be accessed and executed by the microprocessor, and the program is read out, and the read program is stored in a program storage area (not shown) of the microcomputer. A method of downloading and executing the program may be used. In this case, it is assumed that the download program is stored in the main device in advance.

  Here, the program medium is a recording medium configured to be separable from the main body, and includes a tape system such as a magnetic tape and a cassette tape, a magnetic disk such as a floppy (registered trademark) disk and a hard disk, and a CD-ROM / MO /. Disk systems for optical disks such as MD / DVD, card systems such as IC cards (including memory cards) / optical cards, mask ROM, EPROM (Erasable Programmable Read Only Memory), EEPROM (Electrically Erasable Programmable Read Only Memory), flash It may be a medium that carries a fixed program including a semiconductor memory such as a ROM.

  In this case, the medium may be a medium that can be connected to a communication network including the Internet and fluidly carries the program so as to download the program from the communication network. When the program is downloaded from the communication network in this way, the download program may be stored in the main device in advance or installed from another recording medium.

  The recording medium is read by a program reading device provided in a digital color image forming apparatus or a computer system, whereby the above-described image processing method is executed.

  The computer system includes an image input device such as a flatbed scanner, a film scanner, and a digital camera, a computer that performs various processes such as the image processing method by loading a predetermined program, and displays the processing results of the computer. An image display device such as a CRT display / liquid crystal display and a printer that outputs the processing results of the computer to paper. Furthermore, a network card, a modem, and the like are provided as communication means for connecting to a server or the like via a network.

  An image processing apparatus that performs appropriate black generation processing according to hue on input image data can be realized, and can be applied to applications such as color copiers and color printers that perform image output using K (black) color materials. .

1, showing an embodiment of the present invention, is a block diagram illustrating a main configuration of a black generation unit. FIG. 1 is a block diagram illustrating a configuration of an image forming apparatus to which an image processing apparatus according to the present invention is applied. FIG. 2 is a block diagram illustrating a main configuration of a black generation and under color removal unit in the image forming apparatus. It is a graph which shows LUT used in the black production | generation method in the black production | generation part shown in FIG. FIGS. 5A and 5B are diagrams illustrating a black generation processing method in the black generation unit illustrated in FIG. 1. It is a figure which shows the determination method in the case of using three types, C, M, and Y, as a hue. FIG. 7A to FIG. 7C are diagrams illustrating a determination method in the case where three types of hues C, M, Y, R, G, and B are used. It is a flowchart which shows the black production | generation processing method in the black production | generation part shown in FIG. 1, showing an embodiment of the present invention, is a block diagram illustrating a main configuration of an under color removal calculating unit. FIG. It is a flowchart which shows the process in the black production | generation under color removal part shown in FIG. It is a figure which shows the method in the case of using a two-dimensional table as a table for reading the black production amount according to a hue. It is a graph which shows the two-dimensional table used as a table for reading the black production amount according to a hue. It is a block diagram which shows the principal part structure of the black production | generation part different from FIG. It is a block diagram which shows the principal part structure of the under color removal calculation part different from FIG. FIG. 3 is a block diagram illustrating a configuration of an image forming apparatus of an example different from FIG. 2 to which the image processing apparatus according to the present invention is applied.

Explanation of symbols

20 color image processing device (image processing device)
24 Region separation processing unit 26 Black generation under color removal unit 261, 265 Black generation unit 262 Under color removal unit 263, 266 Under color removal calculation unit 264 Under color removal processing unit 2611, 2631, 2651, 2661
Hue determination unit 2613 Gray axis one-dimensional black generation table
(Hue generation black generation amount calculation unit, one-dimensional table storage unit)
2614-n One-dimensional black generation table for high saturation axis
(Hue generation black generation amount calculation unit, one-dimensional table storage unit)
2615-n black generation amount calculation unit (hue corresponding black generation amount calculation unit, calculation unit)
2616, 2656 Black generation amount selection unit 2617, 2657 Black generation amount interpolation calculation unit 2633 Gray axis one-dimensional under color removal table
(Hue-corresponding undercolor removal amount calculation unit, one-dimensional table storage unit)
2634-n One-dimensional undercolor removal table for high saturation axis
(Hue-corresponding undercolor removal amount calculation unit, one-dimensional table storage unit)
2635-n Under color removal amount calculation unit (hue corresponding under color removal amount calculation unit, calculation unit)
2636, 2666 under color removal amount selection units 2637, 2667 under color removal amount interpolation calculation units 2653, 2654-n two-dimensional black generation table
(Hue generation black generation amount calculation unit, two-dimensional table storage unit)
2663, 2664-n two-dimensional undercolor removal table
(Hue-corresponding undercolor removal amount calculation unit, two-dimensional table storage unit)

Claims (11)

In an image processing apparatus that performs black generation processing on image data composed of a plurality of color components,
A hue determination unit that determines the hue of image data including a plurality of color components;
A hue-corresponding black generation amount corresponding to each hue is calculated for each of a plurality of predetermined hues, a first parameter corresponding to a minimum color component of each pixel value of the image data, and a gray axis And a one-dimensional table storage unit including a plurality of one-dimensional lookup tables for storing black generation amounts on respective reference axes that are high saturation axes corresponding to the hues, and the one-dimensional table storage unit With respect to the black generation amount corresponding to the first parameter on the gray axis and the black generation amount corresponding to the first parameter on the high saturation axis of each color component to be read, the first parameter and the image data Based on the second parameter corresponding to the maximum color component of each pixel value, an interpolation operation is performed between the black generation amount on the gray axis and the black generation amount on the high saturation axis. A hue corresponding black generation amount calculation unit comprising a calculation unit for calculating a plurality of hues corresponding black generation amount corresponding to each color is because,
A black generation amount selection unit that selects two hue generation black generation amounts from a plurality of hue generation black generation amounts calculated by the hue corresponding black generation amount calculation unit based on the result of the hue determination unit;
Based on the color component value of the image data, the interpolation calculation between the two hue-corresponding black generation amounts is performed on the two selected hue-corresponding black generation amounts, and the black generation amount for the image data is calculated. An image processing apparatus comprising: a black generation amount interpolation calculation unit to calculate. Further, the image processing apparatus includes a region separation processing unit that separates image data including a plurality of color components into a plurality of regions,
The hue corresponding black generation amount calculation unit calculates a black generation amount corresponding to a gray region in addition to a predetermined hue set in advance.
The black generation amount interpolation calculation unit does not perform the interpolation calculation when the image data is determined to belong to the black character region or the color blur region in the result of the region separation processing unit, and the hue generation black generation amount calculation unit The image processing apparatus according to claim 1 , wherein the black generation amount corresponding to the gray area obtained in this way is set as the black generation amount for the image data. In an image processing apparatus that performs undercolor removal processing on image data composed of a plurality of color components,
A hue determination unit that determines the hue of image data including a plurality of color components;
For each of a plurality of predetermined hues, a hue-corresponding lower color removal amount corresponding to each hue is calculated, a first parameter corresponding to the minimum color component of each pixel value of the image data, gray A one-dimensional table storage unit comprising a plurality of one-dimensional lookup tables for storing the corresponding under-color removal amounts on the respective reference axes, which are high-saturation axes corresponding to the axes and the hues;
With respect to the under color removal amount corresponding to the first parameter on the gray axis and the under color removal amount corresponding to the first parameter on the high saturation axis of each color component, read from the one-dimensional table storage unit, Interpolation between the lower color removal amount on the gray axis and the lower color removal on the high saturation axis based on the first parameter and the second parameter corresponding to the maximum color component of each pixel value of the image data A hue-corresponding undercolor removal amount calculation unit including a calculation unit that performs calculation and calculates a plurality of hue-corresponding undercolor removal amounts corresponding to predetermined hues;
A lower color removal amount selection unit that selects two hue corresponding lower color removal amounts from a plurality of hue corresponding lower color removal amounts calculated by the hue corresponding lower color removal amount calculation unit based on the result of the hue determination unit;
For the two selected hue-corresponding undercolor removal amounts, an interpolation operation is performed between the two hue-corresponding undercolor removal amounts based on the color component value of the image data, and the undercolor for the image data is calculated. An image processing apparatus comprising: a lower color removal amount interpolation calculation unit that calculates a removal amount. Further, the image processing apparatus includes a region separation processing unit that separates image data including a plurality of color components into a plurality of regions,
The hue-corresponding undercolor removal amount calculation unit calculates an undercolor removal amount corresponding to a gray area in addition to a predetermined hue that is determined in advance.
The lower color removal amount interpolation calculation unit calculates the lower hue removal amount corresponding to the hue without performing the interpolation calculation when it is determined in the result of the region separation processing unit that the image data belongs to the black character region or the color blur region. 4. The image processing apparatus according to claim 3 , wherein the under color removal amount corresponding to the gray area obtained by the image processing unit is set as the under color removal amount for the image data. An image forming apparatus comprising the image processing apparatus according to any one of the claims 1 to 4. In an image processing method for performing black generation processing on image data composed of a plurality of color components,
A hue determination step of determining the hue of image data composed of a plurality of color components;
A hue-corresponding black generation amount calculating step for calculating a hue-corresponding black generation amount corresponding to each hue for each of a plurality of predetermined hues;
Based on the determination result of the hue determination step, a black generation amount selection step of selecting two hue corresponding black generation amounts from the plurality of hue corresponding black generation amounts calculated in the hue corresponding black generation amount calculation step;
Based on the color component value of the image data, the interpolation calculation between the two hue-corresponding black generation amounts is performed on the two selected hue-corresponding black generation amounts, and the black generation amount for the image data is calculated. A black generation amount interpolation calculation step to calculate ,
The hue-corresponding black generation amount calculating step
A plurality of first parameters corresponding to the minimum color component of each pixel value of the image data and a black generation amount on each reference axis which is a high saturation axis corresponding to each gray hue and each hue are stored in association with each other. From a one-dimensional table storage unit having a one-dimensional lookup table, a black generation amount corresponding to the first parameter on the gray axis and a black generation amount corresponding to the first parameter on the high saturation axis of each color component are obtained. Based on the first parameter and the second parameter corresponding to the maximum color component of each pixel value of the image data, the black generation amount and the high saturation on the gray axis with respect to the read and read black generation amount An image processing method , wherein interpolation calculation is performed with the black generation amount on the axis to calculate a plurality of hue-corresponding black generation amounts corresponding to predetermined hues . Further, the image processing apparatus includes a region separation processing step for separating image data composed of a plurality of color components into a plurality of regions,
In the hue-related black generation amount calculation step, in addition to a predetermined hue set in advance, a black generation amount corresponding to a gray area is calculated.
In the black generation amount interpolation calculation step, when it is determined that the image data belongs to the black character region or the color blur region as a result of the region separation processing step, the interpolation calculation is not performed and the hue corresponding black generation amount calculation step is performed. The image processing method according to claim 6 , wherein the black generation amount corresponding to the gray area obtained in this way is set as the black generation amount for the image data. In an image processing method for performing undercolor removal processing on image data composed of a plurality of color components,
A hue determination step of determining the hue of image data composed of a plurality of color components;
A hue-corresponding undercolor removal amount calculating step for calculating a hue-corresponding undercolor removal amount corresponding to each hue for each of a plurality of predetermined hues;
A lower color removal amount selection step of selecting two hue corresponding lower color removal amounts from a plurality of hue corresponding lower color removal amounts calculated in the hue corresponding lower color removal amount calculation step based on the determination result of the hue determination step; ,
For the two selected hue-corresponding undercolor removal amounts, an interpolation operation is performed between the two hue-corresponding undercolor removal amounts based on the color component value of the image data, and the undercolor for the image data is calculated. An under color removal amount interpolation calculation step for calculating the removal amount ,
The hue-corresponding undercolor removal amount calculating step
A plurality of the first parameters corresponding to the minimum color component of each pixel value of the image data and the undercolor removal amounts on the respective reference axes which are the high saturation axes corresponding to the gray axis and the respective hues are stored in association with each other. The under color removal amount corresponding to the first parameter on the gray axis and the under color removal corresponding to the first parameter on the high saturation axis of each color component from the one-dimensional table storage unit including the one-dimensional lookup table And the lower color on the gray axis based on the first parameter and the second parameter corresponding to the maximum color component of each pixel value of the image data. image processing and calculates a plurality of hues corresponding under color removal amount performs interpolation calculation, corresponding to each predetermined hue between the undercolor removal amount in the color removal amount and high chroma axis Law. Further, the image processing apparatus includes a region separation processing step for separating image data composed of a plurality of color components into a plurality of regions,
In the hue-corresponding undercolor removal amount calculating step, in addition to a predetermined hue, a lower color removal amount corresponding to a gray area is calculated.
In the under color removal amount interpolation calculation step, if it is determined in the result of the region separation processing step that the image data belongs to a black character region or a color blur region, interpolation calculation is not performed and the hue corresponding under color removal amount calculation is performed. 9. The image processing method according to claim 8 , wherein the under color removal amount corresponding to the gray area obtained in the step is set as the under color removal amount for the image data. Computer, image processing program for causing act as each function section constituting the image processing apparatus of the claims 1 to 4. A computer-readable recording medium on which the image processing program according to claim 10 is recorded.

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