JP2012054642A - Image processing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an image processing device that can achieve a proper show-through removing effect for image data of both a color document and an achromatic color document, and also shorten a reading time of image data of an achromatic color document.SOLUTION: In case of a color document, a color histogram representing a frequency of each of plural colors represented by plural color component data is calculated, and a base color satisfying a predetermined high frequency condition is specified on the basis of the color histogram. In addition, density conversion information used to convert each of the color component data so that colors in the neighborhood of the base color are made substantially uniform to the base color is generated, and each of the color component data of image data as the colors in the neighborhood of the base color out of the image data is converted on the basis of the density conversion information to remove show-through. In case of an achromatic color document, image data are subjected to predetermined gamma correction processing by using preset gamma correction information to remove show-through.

Description

  The present invention relates to an image processing apparatus that performs various types of image processing on image data read from a document, and more particularly to a show-through removal process for removing show-through of a document.

Conventionally, when only an image on the front side of an original having images formed on the front and back sides is read by an image processing apparatus mounted on a scanner device, copying machine, facsimile machine, multifunction machine, etc., There is a problem that so-called “show-through” occurs in which the image on the back surface is reflected. For this reason, for example, the show-through may be removed by reducing the density of the entire image of the document by gamma correction processing.
Also, for example, in Patent Document 1, a density histogram that shows the relationship between density and frequency in two dimensions is calculated, a frequency histogram having a high frequency is recognized as the density of the background color, and a density near the density of the background color is set as the background color. It has been proposed to remove the show-through by uniformly converting to the same level. Thereby, the show-through can be removed while preventing the entire density change.

In addition, when reading an image of a document in color, a density histogram is calculated for each of the plurality of color component data, and the most frequently used density is specified as the density of the background color for each density histogram. It is also conceivable to convert the color component data so as to prevent it. However, in this case, for example, when the density of the R color component near the density of the R color component of the background color is converted to match the density of the background color, it is formed on the document surface instead of the show-through portion. The density of the R color component included in the original image is also converted in accordance with the background color. Therefore, the R color component in the original image of the original is emphasized or suppressed, and the color of the entire image changes.
In view of this, it is conceivable to perform the show-through removal process using a color histogram (see FIG. 3) showing the relationship between a plurality of colors represented by a plurality of color component data and the frequency in three dimensions.
Specifically, a background color specifying process for calculating a color histogram from image data and specifying the background color of the document based on the color histogram, or a color near the background color corresponding to the background color is selected. Density conversion table generation processing for generating a density conversion table used to convert each of the color component data so as to make the color component data substantially uniform, color component data of image data representing colors in the vicinity of the background color in the image data It is conceivable to sequentially execute density conversion processing for converting based on the density conversion table. As a result, the color data of the entire image is not impaired since the color component data is not converted for the image data representing colors excluding the colors in the vicinity of the background color. It is also conceivable to reduce the load of the color histogram calculation process by executing a reduction process for converting the image data to a low resolution before calculating the color histogram.

Japanese Patent Laid-Open No. 11-187266 Japanese Patent Laid-Open No. 2004-120022

By the way, when performing the above-described show-through removal process, various image processes such as the background color specifying process, the density conversion table generation process, the density conversion process, and the reduction process are performed in the image processing apparatus. Although it is necessary, in order to simplify and reduce the cost of the image processing apparatus, it is desirable to make the hardware (electric circuit, etc.) provided in the image processing apparatus as small as possible.
Therefore, the background color specifying process and the density conversion table generation process are executed by software. The density conversion process and the reduction process include, for example, a gamma correction process, a scaling (enlargement / reduction) process, a shading correction process, a smoothing / enhancement process, and the like. In order to perform processing, CMYK conversion processing, and the like (hereinafter referred to as “normal image processing”), it is conceivable to execute the processing using an image processing circuit (ASIC) provided in a general image processing apparatus.
However, in this case, when the image data is read, the image processing circuit uses the reduction processing, the density conversion processing, and the normal image processing in series. The problem that becomes longer.
On the other hand, when the original is an achromatic original such as a monochrome original or a gray scale original, the effect of the show-through removal processing is significantly lower than that of a color original, and the achromatic original As a result of experiments, it has been clarified that almost the same effect can be obtained by removing the show-through by using only the gamma correction processing as in the prior art. For example, as disclosed in Patent Document 2, an ACS determination process for determining whether a document is a color document or a monochrome document is well known. In this patent document 2, it is also proposed to change the conversion format of the read image data in accordance with the result of the ACS determination process.
Accordingly, the present invention has been made in view of the above circumstances, and an object of the present invention is to obtain a moderate show-through removal effect for image data of both color originals and achromatic originals, and achromatic colors. An object of the present invention is to provide an image processing apparatus capable of shortening the reading time of image data of a document.

In order to achieve the above object, the present invention provides an image reading means for reading an image of an original as image data including a plurality of color component data, and the original is a color original based on the image data read by the image reading means. An image processing apparatus comprising an automatic document color determination unit that determines whether a document is an achromatic document or not, and a plurality of image data read by the image reading unit is expressed by the plurality of color component data In order to calculate a color histogram indicating the frequency of each color, identify a background color satisfying a predetermined high frequency condition based on the color histogram, and substantially uniformize the colors in the vicinity of the background color to the background color Density conversion information used to convert each of the color component data is generated, and color component data of image data that is a color in the vicinity of the background color in the image data is generated. A first show-through removing means for removing show-through by converting each of the data based on the density conversion information, and gamma correction information set in advance for the image data read by the image reading means. A second show-through removing unit that removes show-through by performing a predetermined gamma correction process; and if the determination result by the automatic document color determining unit is a color document, the first show-through removing unit removes the show-through. In the case of an achromatic original, the image processing apparatus is configured to include a show-through removal switching means for removing show-through by the second show-through removing means.
As a result, for a color document, a sufficient show-through removal effect can be obtained by the first show-through removal process. For an achromatic document, the reading time of image data is shortened as compared with a color document. A moderate show-through removal effect can be obtained by the second show-through removal process.
Here, the first show-through removing unit averages the color component data of the image data read by the image reading unit for each predetermined unit, and sets the resolution of each of the color component data to a preset low resolution. It is conceivable that the base color is specified from a plurality of colors expressed by each of the converted color component data. As a result, the load such as the color histogram generation processing by the first show-through removal unit is reduced.
Further, the first show-through removing unit smoothes the image data read by the image reading unit, and color component data of image data that is a color near the background color among the smoothed image data It is conceivable that show-through is removed by converting each based on the density conversion information. This makes it possible to remove the show-through on the halftone dots when the show-through occurs in the halftone portion of the document.
Further, the second show-through removing unit calculates a color histogram indicating the frequency for each of a plurality of colors expressed by the plurality of color component data for the image data read by the image reading unit, and the color histogram It is also conceivable that a background color satisfying a predetermined high-frequency condition is specified based on the above and the gamma correction information is set according to the background color. Accordingly, although the calculation process of the color histogram and the specifying process of the background color are required, the effect of removing the show-through in the image data of the achromatic original can be enhanced and the image quality can be improved.
By the way, when the first show-through removal unit specifies a plurality of the background colors, the density conversion information is generated for each of the background colors, and the image is a color in the vicinity of the background color. It is desirable to convert each of the color component data of the data based on the density conversion information corresponding to the background color. Thereby, even when a plurality of background colors exist in the image of the document, it is possible to prevent show-through at the plurality of locations.

  According to the present invention, it is possible to obtain a sufficient show-through removal effect for color originals by the first show-through removal processing, and for achromatic originals, the image data reading time is shortened compared to color originals. However, it is possible to obtain a moderate show-through removal effect by the second show-through removal process.

1 is a block diagram showing a schematic configuration of a multifunction machine X according to an embodiment of the present invention. 6 is a flowchart for explaining an example of a procedure of image reading processing executed by the multifunction machine X according to the embodiment of the present invention. The figure for demonstrating an example of a color histogram. FIG. 6 is a diagram for explaining an example of a density conversion table generated by an image reading process executed by the multifunction machine X according to the embodiment of the present invention. FIG. 6 is a diagram for explaining an example of a density conversion table generated by an image reading process executed by the multifunction machine X according to the embodiment of the present invention. FIG. 6 is a view for explaining the flow of image data (color document) in the image reading process executed by the multifunction machine X according to the embodiment of the present invention. FIG. 6 is a diagram for explaining a flow of image data (achromatic original) in an image reading process executed by the multifunction machine X according to the embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings so that the present invention can be understood. The following embodiment is an example embodying the present invention, and does not limit the technical scope of the present invention.
First, a schematic configuration of the multifunction machine X according to the embodiment of the present invention will be described with reference to FIG.
As shown in FIG. 1, the multi-function machine X is roughly configured to include a control unit 1, an operation display unit 2, an image reading unit 3, an image processing unit 4, a DRAM 5, an image forming unit 6, and the like. Note that a copying machine, a scanner device, a facsimile device, and the like also correspond to the image processing device according to the present invention.
The control unit 1 has peripheral devices such as a CPU and ROM, RAM, etc., and the CPU controls the MFP X by executing processing according to a predetermined control program stored in the ROM. It is a main control part which controls automatically. The control unit 1 also executes work area allocation control (memory handling) of the DRAM 5 and data input / output processing of the DRAM 5. For example, the control unit 1 stores data in the DRAM 5 or reads data from the DRAM 5 by giving a control instruction to a DMA controller (not shown).
The operation display unit 2 has a liquid crystal display, a touch panel, various operation keys, and the like for displaying various types of information on the multifunction machine X and performing input operations by the user.

The image reading unit 3 is an image reading unit having a CCD or the like for reading an image of a document placed on a document table (not shown) or a document conveyed by an automatic document feeder (ADF, not shown). Here, the image reading unit 3 converts the original image into R (red), G (green), and B (blue) color component data (hereinafter referred to as R color component data, G color component data, B). It is read as image data including color component data). In particular, the image reading unit 3 reads the image as image data including R, G, and B color component data regardless of whether the original is a color or an achromatic color (monochrome or gray scale).
The image reading unit 3 temporarily stores image data read from a document in the DRAM 5. The DRAM 5 is a semiconductor memory used as a work area in various image processing processes by the image processing unit 4.
The image reading unit 3 determines whether the original is a color original or an achromatic original (such as a gray scale original or a monochrome original) based on image data read from the original. Selection) judgment function. Here, the image reading unit 3 when realizing the ACS determination function corresponds to an automatic document color determination unit. The ACS determination function is well known in the art and will not be described in detail. For example, the number of color pixels included in the image data is counted, and the number of color pixels reaches a predetermined number (predetermined ratio) or more. In this case, it may be determined that the document is a color document.

The image processing unit 4 performs, for example, a show-through removal process, a gamma correction process, a scaling process, a shading correction process, a smoothing / enhancement process, and a CMYK conversion process, which will be described later, on the image data read by the image reading unit 3. Various image processing is performed. Specifically, the image processing unit 4 is a single integrated circuit (ASIC) configured to implement the various image processing functions. As described above, in the multi-function machine X, various image processes are executed using the single image processing unit 4, so that the configuration is simplified and a low cost is realized. However, since the processes that can be simultaneously executed by the image processing unit 4 are limited, the more times the image processing unit 4 is used in series in a series of image reading processes, the longer the time required for the image reading process is. .
When the scanning process is executed in the multifunction device X, the image processing unit 4 stores the image data after the image processing in a storage unit such as a hard disk or predetermined information via a network such as a LAN. Send to the processing device.
Further, when a copying process is executed in the multifunction device X, the image processing unit 4 inputs the image data after the image processing to the image forming unit 6. The image forming unit 6 includes constituent elements of a well-known electrophotographic image forming unit such as a photosensitive drum and a developing device corresponding to each color of CMYK, and for the paper supplied from a paper feeding cassette, A color image or an achromatic image (monochrome image, grayscale image, etc.) is formed based on image data (each of color component data) after image processing by the image processing unit 4.

In the multi-function device X, the control unit 1 executes an image reading process (see FIG. 2), which will be described later, so that the image data read from the document by the image reading unit 3 is changed to the color type of the document. Accordingly, it is characterized in that an appropriate show-through removal process is performed. As described above, the control unit 1 when switching the contents of the show-through removal process according to the color type of the document corresponds to the show-through removal switching means.
Hereinafter, an example of the procedure of the image reading process executed by the multifunction machine X will be described with reference to the flowchart of FIG. In the figure, S1, S2,... Represent processing procedure (step) numbers. Here, the image reading process is executed each time image data is read from a one-page document after a request to start image reading is made by a user operation or the like on the operation display unit 2.

(Steps S1, S9, S10)
First, in step S1, the control unit 1 determines in advance whether or not an achromatic color mode for reading an image as an achromatic color original is set by a user operation of the operation display unit 2 or the like.
If it is determined that the achromatic mode is set (Yes side of S1), the process proceeds to step S9. In step S9, the control unit 1 gives a control instruction to use gamma correction information (such as a gamma table or a gamma curve) for show-through removal set in advance to remove show-through. Part 4 is given.
As a result, the image processing unit 4 selects the gamma correction information for show-through removal according to the control instruction from the control unit 1. Here, the gamma correction information for show-through removal is, for example, so as to remove show-through by lowering the density of the entire image of the original, or lowering the density level only for a predetermined density level portion of the original. Is set in advance so as to remove show-through.
Specifically, gamma correction information that is normally used and gamma correction information for show-through removal are stored in advance in the internal memory of the image processing unit 4, and the image processing unit 4 receives from the control unit 1. A configuration in which one of the gamma correction information is selected in accordance with a control instruction is conceivable. Of course, either one of the gamma correction information may be input from the control unit 1 to the image processing unit 4.
In subsequent step S10, the control unit 1 controls the image processing unit 4 so that the image processing unit 4 performs normal image processing such as gamma correction processing, shading correction processing, smoothing / enhancement processing, and CMYK conversion processing. Execute the process. At this time, since the gamma correction information for removing the show-through selected in step S9 is used in the gamma correction process, the show-through in the image data of the achromatic original read by the image reading unit 3 is removed. Is done. Here, the control unit 1 that executes processing for removing the show-through by the technique (steps S9 to S10) corresponds to a second show-through removing unit.

FIG. 6 shows the flow of image data in the image reading process in the case of an achromatic original.
As shown in FIG. 6, in the case of an achromatic original, after one page of image data read by the image reading unit 3 is stored in the DRAM 5, the image data is stored in the image processing unit 4. Is subjected to normal image processing (S 10) and output to the image forming unit 6.
Therefore, in the multi-function machine X, when the original to be read is an achromatic original, only the normal image processing is executed by the image processing unit 4, so that the achromatic original is also a color original. Compared with the case where the image processing unit 4 executes serial processing (S4), density conversion processing (S5 to S8), and normal image processing (S10), which will be described later, the time required for reading the image data is shortened. The In addition, as described above, when the original is an achromatic original, the show-through removal effect can be appropriately obtained by the show-through removal processing using the gamma correction processing.
In this way, in the case of an achromatic original, in the case of an achromatic original, in the case of an achromatic original, in the case of an achromatic original, By adopting a show-through removal process that provides a reasonable effect, priority is given to shortening the processing time.

(Step S2)
On the other hand, it is not set to the achromatic mode, but is set to a color mode for reading an image as a color document or an ACS determination mode for automatically determining whether the document is a color document or an achromatic document. If it is present (No side of S1), the process proceeds to step S2, and the control unit 1 causes the image reading unit 3 to execute an ACS determination process.
As described above, the MFP X executes the ACS determination process by the image reading unit 3 not only when the ACS determination mode is set but also when the color mode is set. Of course, it is also conceivable as another embodiment that the ACS determination processing by the image reading unit 3 is executed only when the ACS determination mode is set.

(Step S3)
In step S3, the control unit 1 determines whether the ACS determination result by the image reading unit 3 is a color document. If it is determined that the ACS determination result is a color document (Yes side of S3), the process proceeds to step S4. If it is determined that the document is not a color document (No side of S3), the process is performed according to the above step. The process proceeds to S9. That is, for example, even when the user has intentionally selected the color mode, if the ACS determination process determines that the document is an achromatic document, the process proceeds to step S9 and the gamma correction process is performed. The show-through removal of the original is performed.

(Step S4)
On the other hand, when the ACS determination result by the image reading unit 3 is a color original (Yes side of S3), the control unit 1 reads the image reading unit 3 by sequentially executing the following steps S4 to S8. Remove the show-through of the original in the image data. Here, the control unit 1 that executes processing for removing show-through by such a technique (steps S4 to S8) corresponds to a first show-through removal unit. Hereinafter, the processing of steps S4 to S8 will be described in detail.
First, in step S4, the control unit 1 converts the resolution of each of the R, G, and B color component data of the image data read by the image reading unit 3 by the image processing unit 4 into a preset low resolution. The reduction process for reducing the image data is executed. Thereby, since the image data is reduced, for example, the processing load of a background color specifying process (S5) described later executed by the control unit 1 can be reduced.
For example, the image processing unit 4 averages R, G, B color component data having a resolution of 600 dpi for every 64 dots of 8 × 8 (an example of a predetermined unit), and has a low resolution of R, G, about 75 dpi. Conversion to B color component data. The image data converted into the low resolution is temporarily stored in the DRAM 5. Note that omitting the step S4 is also considered as another embodiment.

(Step S5)
In step S5, the control unit 1 executes a background color specifying process for specifying a background color that satisfies a predetermined high-frequency condition based on the R, G, and B color component data converted in step S4.
Specifically, when the control unit 1 first classifies a plurality of colors expressed by R, G, B color component data into color groups for each color in a predetermined range, the R, G, A first color histogram (three-dimensional histogram) indicating the frequency (number) of pixels for each color group included in all image data represented by each of the B color component data is calculated.
FIG. 3 shows an example of the first color histogram. As shown in FIG. 3, the first color histogram has three-dimensional density values (R, G, when the density values of the R, G, B color component data constituting the image data are arranged in three dimensions. , B), the frequency for each color group including a predetermined range of colors is calculated. Specifically, in the example shown in FIG. 3, 4096 colors of 16 × 16 × 16 are represented by 256 × 256 × 256 16,777,216 colors expressed by combinations of values of R, G, and B color component data. And the frequency of pixels for each color group included in the original image is calculated. In this case, the predetermined range of colors included in each of the color groups is (R, G, B) = (0-15, 0-15, 0-15), (16-31, 0-15, 0-15). ), (32 to 47, 0 to 15, 0 to 15), ... (239 to 255, 239 to 255, 239 to 255).
Next, the control unit 1 extracts a background color group having a predetermined frequency or higher based on the first color histogram. The predetermined frequency is set in advance, for example, in order to determine that the color occupies an area where the show-through is significant in the document image. As described above, the control unit 1 does not specify only the most frequent color group, but extracts the background color group having the predetermined frequency or more, so that a plurality of the background color groups are extracted. In some cases.
Then, the control unit 1 calculates a second color histogram indicating the frequency of each color included in the background color group for each background color group. For example, as shown in FIG. 3, the first color histogram represents 256 × 256 × 256 16,777,216 colors represented by the values of the R, G, B color component data, and 16 × 16 ×. When the frequency is classified into 16 4096 color groups and the frequency for each color group is calculated, the second color histogram is obtained for each of 16 × 16 × 16 4096 colors included in the color group. The frequency is calculated individually.
Thereafter, the conversion point calculation unit 42 specifies the most frequently used color for each background color group as the background color satisfying the high-frequency condition based on the second color histogram. At this time, as described above, when a plurality of the background color groups are extracted, a plurality of background colors are also specified here. That is, the background color satisfying the predetermined high-frequency condition in the present embodiment is a color that belongs to the color group having the predetermined frequency or more and has the highest frequency in the color group.
As described above, the control unit 1 first calculates the first color histogram of the coarse level, and then extracts one or a plurality of color groups having a predetermined frequency or more therein, and the one or more color groups. Only for, the more detailed second color histogram is calculated. For this reason, the processing load is significantly reduced as compared with the case of calculating a histogram indicating the frequencies of all colors (16,777,216 colors in the above example) from the beginning.

(Step S6)
Next, in step S6, the control unit 1 corresponds to each background color specified in step S5, so that the colors in the vicinity of the background color are substantially uniformed to the background color. A density conversion table (an example of density conversion information) used to convert each of the B color component data is generated. Note that the control unit 1 generates a plurality of density conversion tables corresponding to each of the RGB color component data when there are a plurality of background colors specified in step S5. 4 and 5 are diagrams showing an example of the density conversion table generated by the control unit 1 when there are two background colors specified in step S5.
FIG. 4 shows the density generated corresponding to the base color when the first base color is a color represented by the conversion points Pr1, Pg1, and Pb1, respectively. An example of the conversion table is shown. (A), (b), and (c) show density conversion tables Tr1, Tg1, and Tb1 corresponding to the R, G, and B color component data, respectively. Further, FIG. 5 shows that the second background color is generated corresponding to the background color when the color component data of R, G, and B are colors represented by the conversion points Pr2, Pg2, and Pb2. (A), (b), and (c) show density conversion tables Tr2, Tg2, and Tb2 corresponding to the R, G, and B color component data, respectively. .
Specifically, as shown in FIG. 4A, the density conversion table Tr1 is used when converting a predetermined range of density centered on the conversion point Pr1 so that the density is substantially uniform at the conversion point Pr1. It is what Similarly, as shown in FIGS. 4B and 4C, the density conversion tables Tg1 and Tb1 make the density within a predetermined range centered on the conversion points Pg1 and Pb1 substantially uniform at the conversion points Pg1 and Pb1. It is used when converting to The same applies to the density conversion tables Tr2, Tg2, and Tb2 shown in FIG. Of course, the density conversion table is not limited to the form shown in FIGS. 4 and 5 as long as the show-through can be removed by approximating the color in the vicinity of the background color and making it substantially uniform. Absent.

(Steps S7 to S8)
Thereafter, in steps S7 to S8, the control unit 1 inputs the image data read by the image reading unit 3 from the DRAM 5 to the image processing unit 4 for each band, and selects a color in the vicinity of the background color. The image processing unit 4 is caused to execute density conversion processing for removing show-through by converting each color component data of the image data to be expressed based on the density conversion table.
Specifically, in step S7, the image processing unit 4 first performs smoothing processing on each of the R, G, and B color component data to remove halftone components. As a result, when the document includes a halftone component, it is determined that the show-through portion existing on the halftone dot represents a color in the vicinity of the background color, and the show-through is removed. It becomes possible. For smoothing each of the R, G, and B color component data, for example, a well-known median filter or an averaging filter may be used.
Then, the image processing unit 4 is configured such that colors expressed by R, G, and B color component data of the image data after being read and smoothed by the image reading unit 3 are the background colors. By executing density conversion processing for converting each of the R, G, and B color component data based on the density conversion table generated corresponding to the background color with respect to the image data that is a nearby color, The colors near the base color are made uniform to the base color to remove show-through. That is, density conversion is not performed on image data of other colors excluding the colors in the vicinity of the background color.
For example, image data of a pixel whose color expressed by the R, G, B color component data is a color near the background color expressed by the conversion points Pr1, Pg1, Pb1 shown in FIG. 4 is input. In this case, the R, G, B color component data is converted based on the density conversion tables Tr1, Tg1, Tb1 generated in the step S6 corresponding to the background color. Similarly, when image data of a pixel that is a color in the vicinity of the background color represented by the conversion points Pr2, Pg2, and Pb2 shown in FIG. 5 is input, it is generated in step S6 corresponding to the background color. The R, G, B color component data are converted based on the density conversion tables Tr2, Tg2, Tb2.

Here, the control unit 1 stores the image data output for each band from the DRAM 5 in the DRAM 5 again after density conversion by the image processing unit 4. At this time, the image data after the density conversion is averaged by the smoothing process or the density conversion process applied to the original image data to reduce edge portions and the like. The compression rate becomes high.
Therefore, the control unit 1 sequentially overwrites and saves the image data after the density conversion by the image processing unit 4 in the storage area of the original image data stored in the DRAM 5. Thereby, it is not necessary to secure a storage area for storing both the original image data and the density-converted image data in the DRAM 5, and a storage area of the DRAM 5 used in the image reading process. Can be saved.
In particular, since the storage area of the DRAM 5 has an empty area corresponding to the difference in data amount between the original image data and the image data after the density conversion, the control unit 1 sequentially sets the empty area. It is desirable to open it. As a result, the empty area can be used as a work area for other processes in the multifunction device X, and the processing efficiency in the multifunction device X can be improved. For example, the control unit 1 uses the empty area for image reading processing of the next page, FAX reception processing, and the like.

(Step S10)
When the density conversion for one page of image data is completed (Yes in S8), the process proceeds to step S10, and normal image processing (gamma correction processing, scaling processing, shading) by the image processing unit 4 is performed. Correction processing, smoothing / enhancement processing, CMYK conversion processing, etc.) are executed.
At this time, in the gamma correction processing, gamma correction using normal gamma correction information is executed instead of the show-through removal gamma correction information selected in step S9.

FIG. 7 shows a flow of image data in the image reading process in the case of a color original.
As shown in FIG. 7, in the case of a color document, after the image data read by the image reading unit 3 is stored in the DRAM 5, the image data is input to the image processing unit 4 and reduced. (S4) and stored in the DRAM 5 again. The reduced image data is stored in a storage area different from the storage area of the original image data read by the image reading unit 3. Then, the control unit 1 generates the density conversion table based on the reduced image data stored in the DRAM 5 (S5 to S6).
Next, the original image data read by the image reading unit 3 and stored in the DRAM 5 is input to the image processing unit 4, and density conversion is performed based on the density conversion table generated by the control unit 1. After being performed (S7 to S8), it is stored in the DRAM 5 again. At this time, the image data after the density conversion is overwritten and saved in the storage area in which the original image data is stored as described above.
Thereafter, the density-converted image data stored in the DRAM 5 is input to the image processing unit 4 for each band, and the image processing unit 4 performs normal image processing (gamma correction processing, scaling processing, shading correction processing). , Smoothing / enhancement processing, CMYK conversion processing, etc.), and then sequentially output to the image forming unit 6. In this way, the multi-function machine X obtains a high show-through removal effect when it is a color document. The image quality is prioritized by adopting a show-through removal process.

As described above, in the multifunction machine X, the contents of the show-through removal process performed on the image data read by the image reading unit 3 are changed depending on whether the original is a color original or an achromatic original. As a result, it is possible to obtain a high show-through removal effect for color originals, and an appropriate show-through removal effect for achromatic originals while shortening the image data reading time compared to color originals. it can.
In this embodiment, a case where the show-through removal process is performed on the R, G, B color component data will be described as an example. For example, after converting RGB data into CMY data, the C (cyan ), M (magenta), and Y (yellow) image data may be subjected to show-through removal processing.

By the way, in the image reading process (FIG. 2) described in the above embodiment, when the original is an achromatic original, the show-through is removed by performing gamma correction based on predetermined gamma correction information. Explained with an example.
On the other hand, even when the control unit 1 is an achromatic document, in step S9, the control unit 1 executes the same processing as in steps S4 and S5 to set the background color in the achromatic document. As another embodiment, it is possible to specify the gamma correction information so that the color near the background color is specified and the background color is made uniform. Here, the control unit 1 when executing such setting processing corresponds to gamma correction information setting means.
As a result, the effect of removing the show-through in the case of an achromatic color original can be enhanced and the quality of the output image can be improved. Of course, even in this case, the density conversion table generation process and the density conversion process in steps S6 to S8 are omitted, so that the time required for reading the image data can be shortened as compared with a color original.

1: Control unit 2: Operation display unit 3: Image reading unit 4: Image processing unit 5: DRAM
6: Image forming units S1, S2,...: Processing procedure (step) numbers Tr1, Tr2, Tg1, Tg2, Tb1, Tb2: Density conversion tables Pr1, Pr2, Pg1, Pg2, Pb1, Pb2: Conversion point X: Multifunction machine (Example of image processing device)

Claims (5)

Image reading means for reading an image of an original as image data including a plurality of color component data, and determining whether the original is a color original or an achromatic original based on the image data read by the image reading means An image processing apparatus comprising automatic document color determination means,
A color histogram indicating a frequency for each of a plurality of colors represented by the plurality of color component data is calculated for the image data read by the image reading unit, and a background color satisfying a predetermined high-frequency condition based on the color histogram Density conversion information used to convert each of the color component data so as to make the color in the vicinity of the background color substantially uniform to the background color, and generating the background color of the image data First show-through removing means for removing show-through by converting each color component data of image data that is a neighboring color based on the density conversion information;
Second show-through removing means for removing show-through by performing predetermined gamma correction processing on image data read by the image reading means using preset gamma correction information;
If the determination result by the automatic document color determination means is a color document, the show-through is removed by the first show-through removal means, and if it is an achromatic document, the show-through is removed by the second show-through removal means. Show-through removal switching means to be removed;
An image processing apparatus comprising:   The first show-through removing means converts the color component data of the image data read by the image reading means to a predetermined low resolution while averaging the color component data for each predetermined unit. The image processing apparatus according to claim 1, wherein the base color is specified from a plurality of colors expressed by each of the converted color component data.   The first show-through removal unit smoothes the image data read by the image reading unit, and each of the color component data of the image data that is a color near the background color among the smoothed image data. The image processing apparatus according to claim 1, wherein the show-through is removed by conversion based on the density conversion information.   The second show-through removing unit calculates a color histogram indicating the frequency for each of a plurality of colors expressed by the plurality of color component data for the image data read by the image reading unit, and based on the color histogram 4. The image processing apparatus according to claim 1, further comprising a gamma correction information setting unit that specifies a background color satisfying a predetermined high-frequency condition and sets the gamma correction information according to the background color. .   When a plurality of the background colors are specified, the first show-through removal unit generates the density conversion information corresponding to each background color, and the image data that is a color in the vicinity of the background color. The image processing apparatus according to claim 1, wherein each of the color component data is converted based on the density conversion information corresponding to the background color.

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