JP2019097141A - Printing control device, and, computer program - Google Patents

Abstract

To improve a look of a printed image by selecting appropriate correction processing.SOLUTION: A printing control device configured to control a printing execution part acquires object image data, acquires medium information indicating the type of a printed medium to print an object image, and uses the medium information to select correction processing to be executed from among multiple pieces of correction processing. The correction processing is processing for correcting a value of a pixel of interest to be corrected in the object image by using one or more correction values corresponding to each of multiple peripheral pixels which are positioned around the pixel of interest. The printing control device generates print image data by executing generation processing including the selected correction processing onto the object image data and, in accordance with the print image data, causes the print execution part to print a print image on the printed medium. In a case where the medium information indicates a medium of a first type, first correction processing is selected and in a case where the medium information indicates a medium of a second type, second correction processing is selected.SELECTED DRAWING: Figure 4

Description

  The present specification relates to image processing for generating print image data using target image data.

  The color document copying apparatus disclosed in Patent Document 1 determines whether the attribute of the pixel of interest is background, characters, or halftone dots, and performs processing using different filters for the pixel of interest depending on the attribute. Run. For example, a filter for edge enhancement is used for character pixels, a filter for smoothing is used for halftone pixels, and a filter size for the base pixels is larger than the filter used for halftone pixels. A small smoothing filter is used.

JP 2008-35499 A JP, 2008-9649, A JP 2001-144965 A JP-A-11-331606 Japanese Patent Laid-Open No. 3-88478

  However, there is room for improvement in the method of selecting a filter because the appearance of the printed image can be further improved if the filter to be applied can be appropriately selected. Thus, there has been a demand for a technique for appropriately selecting a correction process (for example, a filter to be applied) to be applied.

  The present specification discloses a technique that can improve the appearance of a print image by selecting an appropriate correction process.

  The technology disclosed in the present specification is made to solve at least a part of the above-mentioned problems, and can be realized as the following application example.

Application Example 1 A print control apparatus that controls a print execution unit that prints an image on a medium to be printed using a color material, the image acquisition unit acquiring target image data indicating a target image, and the target image A medium information acquisition unit that acquires medium information indicating the type of the print target medium to be printed; and a selection unit that selects a correction process to be performed from among a plurality of correction processes using the medium information. The plurality of correction processes include a first correction process and a second correction process, and the first correction process is performed on a plurality of pixels located around a pixel of interest to be corrected in the target image. The processing of correcting the value of the pixel of interest using one or more first correction values associated with each of the first peripheral pixels, wherein the second correction process is performed at positions around the pixel of interest Are associated with each of a plurality of second peripheral Performing the generation processing including the selection processing and the correction processing already selected on the target image data, which is processing of correcting the value of the pixel of interest using one or more second correction values; And a print control unit that causes the print execution unit to print the print image on a print medium according to the print image data, and the selection unit is configured to: A print control apparatus, which selects the first correction process when medium information indicates a first type of medium, and selects the second correction process when the medium information indicates a second type of medium. .

  According to the above configuration, it is possible to select an appropriate correction process according to the type of print medium. For this reason, it is possible to print a print image having a good appearance suitable for the print medium on the print medium. As a result, the appearance of the print image can be improved by selecting an appropriate correction process.

  The technology disclosed in the present specification can be realized in various forms, and for example, a multifunction machine, a scanner, a printer, an image processing method, a function of these devices, or a computer for realizing the above method. The present invention can be realized in the form of a program, a recording medium recording the computer program, and the like.

It is a block diagram showing composition of terminal unit 100 as an image processing device of the present invention. 5 is a flowchart of print processing. It is a figure which shows an example of the target image used by a present Example. It is a figure which shows an example of a filter selection table. It is a figure which shows an example of an edge emphasis filter. It is a figure which shows an example of a smoothing filter. It is a figure which shows an example of filter selection table FTb of 2nd Example. 9 is a flowchart of a correction process that is executed when the sheet size is A4 size or A3 size in the second embodiment. It is explanatory drawing of correction | amendment of the base area in 2nd Example. It is a figure which shows an example of the edge emphasis filter of a modification.

A. First Embodiment A-1. Configuration of Terminal Device 100 Next, an embodiment of the present invention will be described based on an example. FIG. 1 is a block diagram showing the configuration of a terminal apparatus 100 as an image processing apparatus of the present invention. The terminal device 100 is, for example, a computer such as a personal computer or a smartphone, and includes a CPU 110 as a processor, a volatile storage device 120 such as a DRAM (abbreviation of Dynamic Random Access Memory), and non-volatiles such as a flash memory or a hard disk drive. A storage unit 130, a display unit 140 such as a liquid crystal display, an operation unit 150 such as a mouse or a keyboard, and a communication interface (IF) 170 which is an interface for communicating with an external device.

  The communication IF 170 includes, for example, a network interface conforming to the Ethernet (registered trademark) standard, and is connected to the local area network LN via the network interface. Thus, the terminal device 100 is communicably connected to an external device such as the printer 300 as a print execution unit via the local area network LN.

  The volatile storage device 120 provides a buffer area for temporarily storing various intermediate data generated when the CPU 110 performs processing. The non-volatile storage device 130 stores a computer program PG1. The computer program PG1 is, for example, a driver program for controlling the printer 300. The computer program PG1 may be provided, for example, in the form of being downloaded from a server operated by the manufacturer of the printer 300. Alternatively, the computer program PG1 may be provided in the form of being stored in a DVD-ROM or the like, or may be provided in the form of being stored (installed) in the non-volatile storage device 130 at the time of manufacturing the terminal device 100. good.

  The CPU 110 controls the printer 300 by executing the computer program PG1 and functions as a printer driver for causing the printer 300 to print an image. Specifically, the CPU 110 can execute print processing described later by executing the computer program PG1.

  The printer 300 is, for example, an apparatus that prints an image on a printing medium such as paper according to an inkjet method using ink as a coloring material. As a modification, the printer 300 may be a laser printer using toner as a coloring material. The printer 300 according to this embodiment is an inkjet printer that performs color printing using four types of ink, cyan (C), magenta (M), yellow (Y), and black (K).

A-2. Printing Process FIG. 2 is a flowchart of the printing process. The image processing is executed when the printer driver is activated in the terminal device 100 and a print instruction is input from the user to the printer driver. The print instruction is input via the user interface screen (UI screen) displayed on the display unit 140 by the printer driver. The print instruction includes print condition information indicating conditions related to various types of printing, for example, information specifying target image data indicating a target image to be printed.

  In S10, the CPU 110 acquires target image data indicating a target image specified by the information included in the print instruction. The target image data in this embodiment is image data created by document creation software, drawing software, or the like. The CPU 110 acquires, from the non-volatile storage device 130, target image data stored in the non-volatile storage device 130 of the terminal device 100.

  The target image data acquired in this embodiment includes the values of a plurality of pixels, and each of the values of the plurality of pixels represents the color of the pixel by an RGB value. That is, the target image data is RGB image data. The RGB values of one pixel include, for example, three component values of red (R), green (G) and blue (B) (hereinafter also referred to as R value, G value, B value) . In the present embodiment, the number of gradations of each component value is 256. If the target image data to be acquired is not RGB image data, rasterization processing or conversion processing is performed on the target image data, for example, to convert it into RGB image data.

  FIG. 3 is a view showing an example of a target image used in the present embodiment. FIG. 3A shows an example of a target image OI1 to be printed on a sheet of business card size. Most of the objects in the target image OI1 are likely to be the letters TX indicating name, company name, contacts etc. FIG. 3B shows an example of the target image OI2 to be printed on L-size paper. Since the L-size is the size adopted for the photo paper, the object in the target image OI2 is likely to be the photo IM. FIG. 3C shows an example of a target image OI3 to be printed on A3 or A4 size paper. Because these sizes are widely used in business documents, advertisements, and other common documents, objects in the target image OI2 may include various types of objects such as text, drawings, and pictures. For example, the target image OI3 of FIG. 3C includes a background BG, characters TX, and a picture IM.

  In S15, the CPU 110 acquires sheet information. The print condition information is input together with a print instruction via the UI screen, for example. In the present embodiment, the sheet information is information indicating the type of sheet on which the target image is to be printed, and includes information indicating the size of the sheet and information indicating the material of the sheet. The sheet sizes assumed in this embodiment are four types: business card size, L size, A4 size, and A3 size. The material of the sheet assumed in this embodiment is two types of plain paper and glossy paper. Glossy paper is characterized in that ink bleeding is less likely to occur compared to plain paper.

  In S20, the CPU 110 uses the filter selection table FT to determine a filter to be used (also referred to as a used filter). FIG. 4 is a diagram showing an example of the filter selection table. In the filter selection table FT, filters to be used in the correction processing described later are recorded for each type of paper (size and / or material).

  In the present embodiment, a total of six types of filters are used in which two types and three types of sizes are combined. The two types are "edge enhancement" and "smoothing". The three sizes are "small", "medium" and "large". The edge emphasizing filter is a filter for edge emphasizing processing that emphasizes and sharpens an edge in an image.

  FIG. 5 is a diagram showing an example of the edge emphasis filter. In FIGS. 5A, 5B, and 5C, edge emphasis filters having the sizes "small", "medium", and "large" are shown. The small edge emphasis filter FEs shown in FIG. 5A defines correction coefficients (also referred to as correction values) corresponding to each of 3 vertical pixels × 3 horizontal pixels. That is, the small edge emphasis filter FEs defines a corresponding correction coefficient for each of the target pixel CP and the eight peripheral pixels SP located around the target pixel CP. For example, in the small edge emphasis filter FEs, the correction coefficient corresponding to the pixel of interest CP is 5, and the four correction coefficients corresponding to four neighboring pixels SP adjacent to the pixel of interest CP vertically and horizontally are −1 The four correction coefficients corresponding to the four peripheral pixels SP located at the upper left, upper right, lower left, and upper left of the target pixel CP are zero. Thus, in addition to the correction coefficient corresponding to the pixel of interest CP, the filter corrects the relative position of the pixel of interest CP with respect to each of the M (M is an integer of 1 or more) peripheral pixels SP and the corresponding correction. It can be said that it is the information which specified the coefficient.

  In the correction using the small edge emphasis filter FEs, values of nine pixels in the filter range including the target pixel CP and the peripheral pixel SP respectively have corresponding coefficients defined in the small edge emphasis filter FEs. By multiplying, nine correction values are calculated. Then, the sum of the nine correction values is calculated as the value of the corrected target pixel CP. As understood from this, the value of the peripheral pixel SP whose corresponding correction coefficient is 0 is not used for correction. For this reason, in the small edge emphasis filter FEs, correction coefficients are specified for eight peripheral pixels SP, but the number of peripheral pixels SP used for correction is four.

  The middle edge emphasizing filter FEm in FIG. 5B defines a correction coefficient corresponding to each of 3 vertical pixels × 3 horizontal pixels. That is, the middle edge emphasizing filter FEm defines corresponding correction coefficients for each of the target pixel CP and eight peripheral pixels SP located around the target pixel CP. For example, in the middle edge emphasizing filter FEm, the correction coefficient corresponding to the target pixel CP is (16/4), and the four correction coefficients corresponding to the four peripheral pixels SP adjacent to the top, bottom, left and right of the target pixel CP. Is (−2/4), and the four correction coefficients corresponding to the four peripheral pixels SP located on the upper left, upper right, lower left and upper left of the pixel of interest CP are (−1⁄4). In the middle edge emphasizing filter FEm, there is no surrounding pixel SP whose corresponding correction coefficient is zero. For this reason, in the middle edge emphasizing filter FEm, the number of peripheral pixels SP used for correction is eight.

When a plurality of correction coefficients (16/4), (-2/4), (-1/4) of the middle edge emphasis filter FEm are represented by a fraction with the common denominator "4" as the denominator , The absolute value of the numerator 16, 2, 1 includes a power of 2 and does not include a value different from any of the 0 and 2 powers. In other words, when the correction coefficients of the medium edge emphasis filter FEm are represented by a fraction with the common denominator "4" as a denominator, the absolute value of the numerator is at least one power of 2 And is composed of 0 or 2 powers. The power of 2 is a number represented by 2 ^k (k is an integer of 0 or more), such as 1, 2, 4, 8, 16, 32, 64, 128, and so on. As a result, in the calculation of the correction processing using the middle edge emphasizing filter FEm, the calculation of multiplying the numerator of the coefficient by the value of the corresponding pixel can be executed by the shift calculation. In the shift operation, for example, in the operation of binary numbers by a computer, the operation speed is faster than other operations, so that the operation necessary for the correction process can be accelerated. Furthermore, in the middle edge emphasis filter FEm, the common denominator “4” is also a power of two. For this reason, it is possible to further speed up the calculation necessary for the correction process.

  The large edge emphasis filter FEl shown in FIG. 5C defines correction coefficients corresponding to each of 5 vertical pixels × 5 horizontal pixels. That is, the large edge emphasis filter FEl defines corresponding correction coefficients for each of the target pixel CP and the 24 peripheral pixels SP located around the target pixel CP. For example, in the large edge emphasis filter FEl, the correction coefficient corresponding to the pixel of interest CP is (64/32), and the 24 correction coefficients corresponding to the 24 peripheral pixels SP are (8/32), ( -8/32), (-4/32), (-2/32), or (0/32). In the large edge emphasis filter FEl, there are four peripheral pixels SP whose corresponding correction coefficient is 0 at four corners. For this reason, in the large edge emphasis filter FEl, the number of peripheral pixels SP used for correction is twenty.

  A plurality of correction coefficients (64/32), (8/32), (-8/32), (-4/32) and (-2/32) of the large edge emphasis filter FEl are common denominators When expressed as a fraction with "32" as the denominator, the absolute values 64, 8, 4, 2 of the numerator include the power of 2 and do not include a value different from any of the 0 and 2 powers. In other words, when the correction coefficients of the large edge emphasis filter FE1 are represented by a fraction with the common denominator “32” as the denominator, the absolute value of the numerator is at least one power of 2 And is composed of 0 or 2 powers. As a result, as in the middle edge emphasis filter FEm, in the calculation of the correction process using the large edge emphasis filter FEl, it is possible to speed up the calculation necessary for the correction process. Furthermore, similarly to the middle edge emphasis filter FEm, in the large edge emphasis filter FEl, the common denominator “32” is also a power of two. For this reason, it is possible to further speed up the calculation necessary for the correction process.

  Here, the size of the filter can be indicated by the distance D between the farthest peripheral pixel FP farthest from the target pixel CP among the plurality of peripheral pixels SP used for correction and the target pixel CP. . That is, it can be said that the filter size is larger as the distance D between the farthest peripheral pixel FP and the target pixel CP is larger. In other words, as the farthest peripheral pixels FP are farther from the target pixel CP, the size of the filter is larger. Here, the distance Des of the small edge emphasis filter FEs is 1, the distance Dem of the middle edge emphasis filter FEm is SQRT (2), and the distance Del of the large edge emphasis filter FEl is SQRT (5). . Here, SQRT (a) means the square root of a.

  As the size of the edge emphasizing filter is larger (that is, as the farthest peripheral pixels FP are farther from the target pixel CP), the level of correction becomes higher, and the degree of emphasizing the edge becomes larger.

  FIG. 6 is a diagram showing an example of the smoothing filter. The smoothing filter is a filter for smoothing processing that smoothes an image. In FIGS. 6A, 6B, and 6C, the smoothing filters having the sizes of "small", "medium", and "large" are shown. The small smoothing filter FSs of FIG. 6A defines a correction coefficient corresponding to each of 3 vertical pixels × 3 horizontal pixels. That is, the small smoothing filter FSs defines corresponding correction coefficients for each of the target pixel CP and the eight peripheral pixels SP located around the target pixel CP. For example, in the small smoothing filter FSs, the correction coefficient corresponding to the target pixel CP and the eight correction coefficients corresponding to eight peripheral pixels SP surrounding the target pixel CP are all (1/9). In the small smoothing filter FSs, there is no surrounding pixel SP whose corresponding correction coefficient is zero.

  The middle smoothing filter FSm in FIG. 6B defines a correction coefficient corresponding to each of 5 vertical pixels × 5 horizontal pixels. That is, the middle smoothing filter FSm defines corresponding correction coefficients for each of the target pixel CP and the 24 peripheral pixels SP located around the target pixel CP. For example, in the middle smoothing filter FSm, the target pixel CP, four peripheral pixels SP located at the four corners of the middle smoothing filter FSm, and the middle portion of the four sides of the middle smoothing filter FSm rectangle 4 The correction coefficients corresponding to the number of peripheral pixels SP are all (1/9). Then, among the 24 peripheral pixels SP, 16 peripheral pixels SP are excluded except the four peripheral pixels SP located at the above-mentioned four corners and the four peripheral pixels SP located at the central part of the four sides. The corresponding correction coefficients are all zero. For this reason, in the middle smoothing filter FSm, the number of peripheral pixels SP used for correction is eight.

  The large smoothing filter FS1 shown in FIG. 6C defines correction coefficients corresponding to each of the seven vertical pixels and seven horizontal pixels. That is, the large smoothing filter FS1 defines corresponding correction coefficients for each of the target pixel CP and the 48 peripheral pixels SP located around the target pixel CP. For example, in the large smoothing filter FSl, the target pixel CP, four peripheral pixels SP located at the four corners of the large smoothing filter FSl, and the central portion of the four sides of the middle smoothing filter FSm rectangle 4 The correction coefficients corresponding to the number of peripheral pixels SP are all (1/9). Then, forty peripheral pixels SP except for the four peripheral pixels SP located at the above-mentioned four corners and the four peripheral pixels SP located at the central part of the four sides among the forty-eight peripheral pixels SP. The corresponding correction coefficients are all zero. For this reason, in the large smoothing filter FSl, the number of peripheral pixels SP used for correction is eight.

  Here, the size of the filter is the same as that of the above-described edge enhancement filter, of the farthest peripheral pixel FP farthest from the target pixel CP among the plurality of peripheral pixels SP used for correction, and the target pixel CP. It can be indicated by the distance D between them. Here, the distance Dss of the small smoothing filter FSs is SQRT (2), the distance Dsm of the middle smoothing filter FSm is SQRT (8), and the distance Dsl of the large smoothing filter FSl is SQRT (18 ).

  Furthermore, the middle smoothing filter FSm in FIG. 6B includes 16 peripheral pixels SP whose coefficient is “0” in 20 peripheral pixels SP closer to the target pixel CP than the farthest peripheral pixels FP. . Similarly, the large smoothing filter FS1 shown in FIG. 6C generates 40 peripheral pixels SP whose coefficient is “0” to 44 peripheral pixels SP closer to the target pixel CP than the farthest peripheral pixels FP. Including. That is, some pixels closer to the target pixel CP than the farthest peripheral pixels FP are not used for correction processing using the middle smoothing filter FSm or the large smoothing filter FS1. As a result, the calculation speed of the correction process can be increased.

  As understood from the above description, since the plurality of filters shown in FIGS. 5 and 6 are different from each other, combinations of the plurality of peripheral pixels SP and the plurality of correction coefficients are different from each other. For example, correction coefficients corresponding to peripheral pixels SP whose position relative to the target pixel CP is a specific position are different from one another. Specifically, in the small edge emphasis filter FEs of FIG. 5A, the correction coefficient corresponding to the peripheral pixel SP at which the position relative to the pixel of interest CP is adjacent on the right side is “−1”. In the middle edge emphasizing filter FEm in FIG. 5B, the correction coefficients corresponding to the peripheral pixel SP, which is a position adjacent to the target pixel CP on the right side, are “−2” and are different from each other. I understand that

  As can be understood from the above description, although the number of peripheral pixels SP used for correction is nine for each of the small smoothing filter FSs, the middle smoothing filter FSm, and the large smoothing filter FSl, the farthest peripheral pixels FP Because the distance D between the pixel of interest and the pixel of interest CP is different, the filter sizes are different from each other (FSs <FSm <FSl).

  The larger the size of the smoothing filter (that is, the farther the farthest peripheral pixels FP are from the target pixel CP), the higher the correction level, and the larger the degree to which the image is smoothed.

  As shown in FIG. 4, when the size of the sheet is a business card size, the large edge emphasis filter FEl is determined as the used filter for all areas in the target image regardless of the sheet material. When the size of the sheet is L size, the small smoothing filter FSs is determined as the use filter for all areas in the target image regardless of the material of the sheet.

  When the size of the paper is A4 size, the use filter determined differs between the text area and the photo area in the target image. When the size of the sheet is A4 size, the middle edge emphasizing filter FEm is determined as the use filter for the character area in the target image regardless of the material of the sheet, and the middle smoothing is performed on the photographic area in the target image. The filter FSm is determined as the used filter.

  When the size of the sheet is A3 size, the use filter to be determined differs between the text area and the photo area in the target image, and the use filter determined differs depending on the material of the sheet. When the size of the sheet is A3 and the sheet is glossy, the small edge emphasis filter FEs is determined as the used filter for the character area in the target image, and the photo area in the target image The large smoothing filter FS1 is determined as the used filter. When the size of the sheet is A3 size and the sheet is plain paper, the middle edge emphasis filter FEm is determined as the use filter for the character area in the target image, and the photo area in the target image The medium smoothing filter FSm is determined as the used filter.

  In S25, the CPU 110 determines whether the area specifying process is necessary. The area specifying process is a process of specifying an area indicating each object in the target image for each type of object (for example, a character and a photo) by analyzing the target image data. For example, in the present embodiment, in the target image, a character area indicating a character, a photograph area indicating a photograph, and an area including a ground excluding a character and a photograph (referred to as a ground area) are identified. In the present embodiment, when the size of the sheet is a business card size or an L-size, as described above, the same filter is used for the entire area, so it is not necessary to perform the area specifying process. If the size of the sheet is A4 size or A3 size, different filters are used for the text area and the photo area, so area specification processing needs to be performed. For this reason, in the present embodiment, when the sheet size is the business card size or the L size, the CPU 110 determines that the area specifying process is not necessary, and the sheet size is A3 size or A4 size. In some cases, it is determined that area identification processing is necessary.

  If the area specifying process is required (S25: YES), the CPU 110 executes the area specifying process in S30. In the area specifying process, for example, the CPU 110 applies a known edge detection filter to target image data, extracts an edge in the target image, and specifies an area having an edge amount larger than a reference as an object area. The CPU 110 specifies, as a character area, an area having a feature as a character among the specified one or more object areas, and specifies an area having a feature as a photograph as a photo area. The CPU 110 specifies an area having neither text features nor photo features among the one or more object areas as a base area. The characteristic as text is, for example, that the ratio of object pixels having a color number smaller than the threshold TH1 and a color different from the background color is smaller than the threshold TH2. The characteristic as a photograph is that, for example, the number of colors is greater than the threshold TH2, and the proportion of object pixels having a color different from the background color is greater than the threshold TH2. Note that, for example, various known methods can be adopted for the area specifying process, and the known methods include, for example, Japanese Patent Application Laid-Open Nos. 2013-030090, 5-225378, and 2002-288589. It is disclosed in the official gazette.

  In S40, the CPU 110 executes correction processing on the target image data to generate corrected target image data (RGB image data in the present embodiment). Specifically, when the size of the sheet is a business card size or an L-size, the CPU 110 sets all pixels in the target image as the target pixel, and sets one type of filter determined in S20 as the target pixel. Apply to change the value of the pixel of interest to the corrected value.

  Further, when the sheet size is A4 size or A4, the CPU 110 executes the correction process using two types of filters. Specifically, when the pixel in the text area is the target pixel among the plurality of pixels in the target image, the CPU 110 applies the filter determined for the text area in S20 to the target pixel. , Change the value of the pixel of interest to a corrected value. Then, when the pixel in the photo area is the target pixel among the plurality of pixels in the target image, the CPU 110 applies the filter determined for the photo area in S20 to the target pixel and Change the value of to the corrected value. CPU110 does not change the value of an attention pixel, when the pixel in a ground area is an attention pixel among a plurality of pixels in an object picture.

  The application of the filter to the pixel of interest is performed as follows. The CPU 110 multiplies the values of (M + 1) pixels in the filter range including the pixel of interest CP and the peripheral pixels SP by the corresponding correction coefficients defined in the filter to be used, respectively, and performs (M + 1) corrections. Calculate the value. Then, the CPU 110 calculates the sum of the (M + 1) correction values as the value of the corrected target pixel CP. As described above, in the correction process of the present embodiment, the value of the pixel of interest CP is corrected using the value of the pixel of interest CP and a plurality of correction coefficients associated with the peripheral pixels SP.

  At S45, the CPU 110 executes color conversion processing on the corrected target image data. As a result, the RGB values of each pixel of the corrected target image data are converted into color values including a plurality of component values corresponding to a plurality of printing color materials. In this embodiment, RGB values are converted to CMYK values including four component values of C (cyan), M (magenta), Y (yellow), and K (black). The color conversion process is performed with reference to a color conversion profile (not shown) stored in advance in the non-volatile storage device 130. The color conversion profile is information defining the correspondence between RGB values and CMYK values, and more specifically, is a look-up table.

  In S50, the CPU 110 executes halftone processing on the target image data after the color conversion processing to generate dot data as print image data. Dot data representing dot formation states for each pixel and for each color material is generated. The value of each pixel included in the dot data indicates, for example, any of the formation states of four dots of “large dot”, “medium dot”, “small dot”, and “no dot”. Instead of this, the value of each pixel included in the dot data may indicate either of the formation state of two dots of “dot present” and “dot absent”.

  In S55, the CPU 110 generates a print job using dot data. For example, the CPU 110 executes a process of rearranging dot data in the order used when printing using the printer 300 and a process of adding a printer control code and a data identification code to the dot data. As a result, a print job interpretable by the printer 300 is generated. In S60, the CPU 110 transmits the generated print job to the printer 300. The printer 300 prints a print image indicated by print image data (dot data) in accordance with the print job transmitted from the terminal device 100.

  According to the present embodiment described above, the correction processing to be executed is selected from the plurality of correction processing (the filters used in the present embodiment are different from each other) using the sheet information (S15, S25) . Then, when the sheet information indicates the first type of sheet (for example, a sheet of business card size), the first correction processing (for example, the correction processing using the large edge emphasis filter FEl) is selected. When the sheet information indicates the second type of sheet (for example, an L-size sheet), the second correction process (for example, the correction process using the small smoothing filter FSs) is selected. Then, in the first correction processing, the plurality of first peripheral pixels (for example, the plurality of first peripheral pixels associated with the peripheral pixel SP (FIG. 5C) positioned in the large edge emphasis filter FEl) This is processing for correcting the value of the pixel of interest CP using a correction coefficient (for example, the correction coefficient “−4/32” in FIG. 5C). In the second correction process, a plurality of second correction coefficients corresponding to a plurality of second peripheral pixels (for example, peripheral pixels SP (FIG. 6A) located in the small smoothing filter FSs) This is processing for correcting the value of the pixel of interest CP using (for example, the correction coefficient “1” in FIG. 6A). Then, generation processing (S40 to S50) including the selected correction processing is executed on the target image data to generate print image data indicating a print image. The CPU 110 causes the printer 300 to print the print image on a sheet according to the print image data (S55, S60). As a result, it is possible to select an appropriate correction process according to the type of paper. Because of this, it is possible to print on the paper a printed image that looks good for the paper. As a result, the appearance of the print image can be improved by selecting an appropriate correction process.

  For example, depending on the size of the paper, the normal viewing distance of the printed image is different. Generally, the larger the size of the sheet, the longer the viewing distance of the printed image printed on the sheet. For example, when the size of the sheet is a business card size or an L-size, the observation distance of the print image is about 10 cm to 15 cm. On the other hand, in the case where the size of the sheet is A4 size larger than the business card size and the L size, the observation distance of the print image is about 30 cm. On the other hand, the appearance (for example, graininess and sharpness) when a specific print image is observed at a relatively short observation distance is the appearance when the particular print image is observed at a relatively long observation distance. It can be different. This is because, for example, the size of the image falling within a predetermined visual field range of the observer decreases as the observation distance decreases, and increases as the observation distance decreases.

  For example, at relatively long viewing distances, even an image that looks natural may appear as a blurred image because it is easier to view finer portions at relatively short viewing distances. Specifically, at the business card size or L size size where the observation distance is relatively short, the edge of the object is easily blurred, so the edge strength is high compared to the A4 size or A3 size where the observation distance is relatively long. It is preferable to do. For this reason, in the present embodiment, in the case where a business card size or an L-size size with a relatively short viewing distance is used, the correction process using the smoothing filter is performed in order to increase the edge strength. The filter size is made smaller than in the case where the A4 size and the A3 size having a relatively long observation distance are used. In addition, in the correction processing using the edge emphasis filter, the filter size to be used is A4 size or A3 size so that the edge strength is higher than when A4 size or A3 size having a relatively long observation distance is used. The case is bigger than you. This makes it possible to optimize the appearance when observed at a normal observation distance in accordance with the size of the sheet. Generally speaking, for correction processing using a smoothing filter, if the sheet information indicates a sheet of a first size, correction is performed using a filter of the first filter size, and the sheet information is When a sheet of a second size larger than the first size is shown, it is preferable that the correction be performed using a filter of a second filter size larger than the second filter size. For correction processing using an edge enhancement filter, when the sheet information indicates a sheet of a first size, the correction is performed using a filter of the first filter size, and the sheet information has a size larger than that of the first size. In the case of showing a sheet of a large second size, it is preferable that the correction be performed using a filter of a second filter size smaller than the second filter size. By this, appropriate correction processing is performed according to the size of the sheet. As a result, in the present embodiment, it is possible to improve the appearance of the printed image when observed at a normal observation distance which may vary depending on the size of the sheet.

  Also, depending on the size of the sheet, the main object can be estimated, and the appropriate correction process may differ depending on the object. For example, an image printed on a card of business card size has a character as a main object, and an image printed on a card of business card size has a high probability that a photo is a main object. When the character is the main object, it is preferable to emphasize the edge of the character to improve the appearance of the character, so it is preferable to perform correction processing using an edge emphasis filter. In the case where a photograph is a main object, it is preferable to perform a correction process using a smoothing filter in order to suppress the graininess of the photograph from being noticeable and to suppress the occurrence of moiré. According to this embodiment, the large edge enhancement filter FEl is selected when the sheet size is a business card size, and the small smoothing filter FSs is selected when the sheet size is an L size. Be done. As a result, by performing different correction processing in accordance with the size of the sheet, the possibility that the correction processing suitable for the main object is performed is increased, and the appearance of the print image can be improved.

  In addition, depending on the material of the sheet, the spreading of the ink may be different. For example, when the sheet is plain paper, the degree of ink bleeding is greater than when the sheet is glossy. As a result, when the sheet is plain paper, the edge strength is likely to be reduced due to ink bleeding as compared to when the sheet is glossy. For this reason, when the A3 size paper is plain paper, the filter is determined so as to increase the edge strength in one step as compared to the case where the A3 size paper is glossy paper. Specifically, when the A3 size paper is plain paper, the size of the filter for the smoothing filter applied to the photo area is compared with the case where the A3 size paper is glossy paper. Is one step smaller. When the A3 size paper is plain paper, the size of the edge emphasis filter applied to the character area is one step compared to when the A3 size paper is glossy paper. Be enlarged. In addition, by performing excessive smoothing processing on a photographic area, it is possible to suppress an increase in processing time of image processing. In this embodiment, the processing time of the smoothing process is reduced by changing the filters used for glossy paper and plain paper only for A3 size paper. This is because the A3 size is larger than other paper sizes, so a relatively large filter is used, and the processing time tends to be excessive because the number of pixels is large. This is because the effect of suppressing

  Furthermore, in the present embodiment, as described above, each correction process is a process of changing the value of the target pixel CP using the values of the plurality of peripheral pixels SP and the corresponding correction coefficients. Appropriate correction processing can be performed using the value of the pixel SP and a plurality of correction coefficients. More specifically, each correction process is a process of changing the pixel of interest using one of the filters shown in FIGS. 5 and 6, and different filters use different filters. That is, in the first correction process (for example, the correction process when the size of the sheet is a business card size), the first filter (for example, the large edge emphasis filter FEl of FIG. 5C) is used. In the correction process of (for example, the correction process when the size of the sheet is L size), the second filter (for example, the small smoothing filter FSs of FIG. 6A) is used. As a result, the first correction process and the second correction process can be appropriately performed using the first filter and the second filter.

  Furthermore, the correction process of the present embodiment includes a smoothing process for smoothing an image as understood from FIG. Therefore, appropriate smoothing processing can be performed according to the type of paper. Further, as understood from FIG. 6, the correction processing of the present embodiment includes edge emphasis processing for emphasizing the edge of the image. Therefore, appropriate edge enhancement processing can be performed according to the type of paper.

B. Second Embodiment In the second embodiment, the filter selection table FTb is different from the filter selection table FT of FIG. 4 of the first embodiment. That is, there is a portion where the used filter determined in S20 of FIG. 2 is different from the first embodiment.

  FIG. 7 is a diagram showing an example of the filter selection table FTb of the second embodiment. As shown in the filter selection table FTb, in the second embodiment, the used filter determined when the sheet size is the business card size or the L size is the same as that of the first embodiment.

  As shown in the filter selection table FTb, in the second embodiment, the use filter determined when the size of the sheet is A3 size or A4 size is different from that of the first embodiment.

  When the size of the sheet is A4 size, the character area and the photo area in the target image are determined to be the same use filter as in the first embodiment. When the size of the sheet is A4 size, two types of use filters are determined for the background area. Specifically, the medium smoothing filter FSm is determined as the use filter for the area excluding the area near the characters in the base area. Of the base area, for the area near the characters, a small smoothing filter FSs whose size is smaller by one step than the medium smoothing filter FSm is determined as the use filter.

  When the size of the sheet is A3 and the sheet is glossy, the character area and the photo area in the target image are determined to be the same use filter as in the first embodiment. If the size of the sheet is A3 and the sheet is glossy, two types of use filters are determined for the base area. Specifically, the large smoothing filter FS1 is determined as the used filter for the area of the base area excluding the vicinity of the characters. Among the base regions, for the region near the character, a medium smoothing filter FSm, which is smaller in size by one step than the large smoothing filter FS1, is determined as the use filter.

  When the size of the sheet is A3 and the sheet is plain paper, the character area and the photo area in the target image are determined to be the same use filter as in the first embodiment. When the size of the sheet is A3 and the sheet is plain paper, two types of use filters are determined for the base area. Specifically, the medium smoothing filter FSm is determined as the use filter for the area excluding the area near the characters in the base area. Of the base area, for the area near the characters, a small smoothing filter FSs whose size is smaller by one step than the medium smoothing filter FSm is determined as the use filter.

  In the second embodiment, the correction in S40 of FIG. 2 performed when the size of the sheet is A4 size or A3 size in order to realize the correction process using the used filter determined using the filter selection table FTb The processing is different from that of the first embodiment. The correction process of S40 of FIG. 2 executed when the sheet size is the business card size or the L size is the same as that of the first embodiment.

  FIG. 8 is a flowchart of the correction process executed when the size of the sheet is A4 size or A3 size in the second embodiment. In S100, one target pixel CP is selected. In S105, a filter corresponding to the region is selected. That is, the filter determined in S20 is selected depending on whether the region to which the pixel of interest CP belongs is the character region, the photograph region, or the base region. Here, the case where the sheet size is A3 size and glossy paper will be described as an example. In this case, the small edge enhancement filter FEs is selected when the pixel of interest CP is in the character area, and the large smoothing filter FS1 is selected when the pixel of interest CP is in the picture area. Then, if the pixel of interest CP is in the background area, the large smoothing filter FS1 is selected. For the background area, the use filter determined for the area excluding the vicinity of the character is selected in this way.

  In S110, it is determined whether the pixel of interest CP is a pixel in the background area. If the pixel of interest CP is not a pixel in the background area (S110: NO), the process proceeds to S125. If the focused pixel CP is a pixel in the background area (S110: YES), the CPU 110 determines in S115 whether there is a text pixel located in the text area within the filter range centered on the focused pixel CP Decide whether or not.

  If there is a character pixel within the filter range centered on the pixel of interest CP (S115: YES), the CPU 110 determines in S120 from the filter for the region near the character, that is, from the currently selected filter. Also use a filter smaller in size by one step as a new filter. If there is no character pixel within the filter range centered on the pixel of interest CP (S115: NO), the CPU 110 skips S120 and advances the process to S125.

  FIG. 9 is an explanatory view of the correction of the background area in the second embodiment. FIG. 9 shows an example of a partial target image POI which is a part of the target image. The partial target image POI includes a part of the character TX (a part of the background area) and a part of the background BG (the background area). When the pixel of interest CP is the pixel CP1 of FIG. 9, there is no character pixel that constitutes the character TX (character region) within the range of the large smoothing filter FS1 centered on the pixel CP1 (S115: NO ), There is no reselection of the filter used. If the pixel of interest CP is the pixel CP2 of FIG. 9, there is a character pixel that constitutes the character TX (character region) within the range of the large smoothing filter FS1 centered on the pixel CP2 (S115: YES ), The use filter is changed from the large smoothing filter FS1 to the medium smoothing filter FSm.

  At S125, the CPU 110 executes the filtering process. That is, the CPU 110 applies the selected used filter to the target pixel CP to correct the value of the target pixel CP. In S130, the CPU 110 determines whether all pixels have been processed as the target pixel. If there is an unprocessed pixel (S130: NO), the CPU 110 returns to S100. If all the pixels have been processed (S130: YES), the CPU 110 ends the correction processing.

  According to the second embodiment described above, as in the first embodiment, since it is possible to select an appropriate correction process according to the type of paper, it is possible to print a print image having a good appearance suitable for the paper. .

  According to the second embodiment, since the correction processing is performed by applying the filter corresponding to the size of the sheet also to the base area, it is possible to print the print image having the appearance suitable for the sheet on the sheet.

  Furthermore, according to the second embodiment, among the plurality of pixels in the base area, the value of the pixel in the area excluding the area near the character TX is a specific filter (for example, the large smoothing filter FS1). The correction is made using (step S125 in FIG. 8: NO). Then, the value of the pixel in the region near the character TX among the plurality of pixels in the base region is corrected using a filter (for example, the middle smoothing filter FSm) smaller than the specific filter . As a result, it is possible to suppress deterioration in the appearance of the boundary portion between the background BG and the character TX in the printed image.

  If an excessively large large smoothing filter FS1 is applied to pixels in an area near a character in the base area, character pixels are likely to be included in the filter range. In this case, as a result of the correction process, for example, a pixel having an intermediate color between the color of the character TX and the color of the background appears in an area along the character TX. Furthermore, in such a state, when the character TX is subjected to edge enhancement processing, a border having such an intermediate color may appear around the edge of the sharpened character. As a result, the appearance of the characters TX may be degraded. According to the present embodiment, such inconvenience can be suppressed.

C. Modification (1) In the first embodiment, a plurality of sizes are prepared for both the edge emphasizing filter and the smoothing filter, and the size of the filter to be used is changed according to the size of the sheet (see FIG. 4). Instead of this, for example, one of the edge emphasizing filter and the smoothing filter may change the size of the filter to be used according to the size of the paper only for the other as the fixed size.

  In the first embodiment, the size of the filter to be used is changed according to the size of the sheet, but the type of filter to be used may be changed without changing the size of the filter to be used. For example, assuming that the paper size assumed is only the business card size and the L size, and the paper size is the business card size, the edge emphasis filter is selected, and the paper size is the L size. , And a smoothing filter may be selected. In this case, the edge emphasizing filter and the smoothing filter may be filters having the same size (for example, 3 vertical pixels × 3 horizontal pixels) and only different correction coefficients.

  Thus, generally speaking, when the medium information (for example, the sheet information) indicates the first type of medium (for example, a sheet of a specific size or material), the first correction process is selected, and the medium is selected. Preferably, the second correction process is selected when the information indicates a second type of medium.

(3) The smoothing filter (FIG. 6) of the above embodiment is an example, and is not limited to this. For example, the middle smoothing filter FSm and the large smoothing filter FS1 in FIG. 6 define peripheral pixels having a correction coefficient of 0 in the filter. Instead of this, for example, the middle smoothing filter FSm may be a filter in which all the correction coefficients corresponding to 25 pixels of 5 vertical pixels × 5 horizontal pixels are (1/25). Further, the large smoothing filter FS1 may be, for example, a filter in which all correction coefficients corresponding to 49 pixels of 7 vertical pixels × 7 horizontal pixels are (1/49). The small smoothing filter FSs, the middle smoothing filter FSm, and the large smoothing filter FS1 may be three types of Gaussian filters having different sizes.

(4) The edge emphasizing filter (FIG. 5) of the above embodiment is an example, and the invention is not limited to this. FIG. 10 is a view showing an example of the edge emphasis filter of the modification. In the modification, edge emphasis filters of three sizes shown in FIGS. 10A to 10C are employed. The small edge emphasis filter FEs of FIG. 10 (A) is the same as the small edge emphasis filter FEs of the embodiment of FIG. 6 (A).

  The middle edge emphasizing filter FEmb in FIG. 10B defines a correction coefficient corresponding to each of 3 vertical pixels × 3 horizontal pixels. That is, the middle edge emphasizing filter FEmb defines corresponding correction coefficients for each of the target pixel CP and the eight peripheral pixels SP located around the target pixel CP. For example, in the middle edge emphasizing filter FEmb, the correction coefficient corresponding to the target pixel CP is 5, and the four correction coefficients corresponding to the four neighboring pixels SP adjacent to the top, bottom, left, and right of the target pixel CP are 0. The four correction coefficients corresponding to the four peripheral pixels SP located at the upper left, upper right, lower left, and upper left of the pixel of interest CP are −1. In the middle edge emphasizing filter FEmb, the number of peripheral pixels SP whose corresponding correction coefficient is different from 0 is four. For this reason, in the middle edge emphasizing filter FEmb, the number of peripheral pixels SP used for correction is four.

  The large edge emphasis filter FElb shown in FIG. 10C defines a correction coefficient corresponding to each of 5 vertical pixels × 5 horizontal pixels. That is, the large edge emphasis filter FElb defines corresponding correction coefficients for each of the target pixel CP and the 24 peripheral pixels SP located around the target pixel CP. For example, in the large edge emphasizing filter FElb, the correction coefficient corresponding to the target pixel CP is 5, and among the 24 peripheral pixels SP, it corresponds to four peripheral pixels SP located at the center of the upper, lower, left, and right sides. The four correction factors are −1, and the 20 correction factors corresponding to the remaining 20 peripheral pixels SP are zero. In the large edge emphasis filter FElb, the number of peripheral pixels SP whose corresponding correction coefficient is different from 0 is four. For this reason, in the large edge emphasis filter FElb, the number of peripheral pixels SP used for correction is four.

  The size of the filter is indicated by the distance D between the farthest peripheral pixel FP farthest from the target pixel CP among the plurality of peripheral pixels SP used for correction and the target pixel CP, as in the embodiment. be able to. That is, it can be said that the filter size is larger as the distance D between the farthest peripheral pixel FP and the target pixel CP is larger, in other words, as the target pixel CP is farther from the farthest peripheral pixel FP. . Here, the distance Des of the small edge emphasis filter FEs is 1, the distance Demb of the middle edge emphasis filter FEmb is SQRT (2), and the distance Delb of the large edge emphasis filter FElb is 2.

  Also in the modification, as the size of the edge emphasizing filter is larger (that is, as the farthest peripheral pixels FP are further from the target pixel CP), the correction level becomes higher and the degree of emphasizing the edge becomes larger. .

(5) The size and the material of the sheet assumed in each of the above-described embodiments are merely examples, and the present invention is not limited to this. The paper size may include other sizes, for example, B5 size, B4 size, and A2 size. The material of the paper may further include thick paper, a label sheet, and the like. Furthermore, the sheet information may include a print medium of a material different from that of the sheet, such as an OHP sheet, a CD-ROM, or a DVD-ROM.

(6) In the above embodiment, the sheet information indicating the sheet size and material is input by the user via the UI screen. Instead of this, for example, the printer 300 is provided with a sheet sensor for detecting the size and the material of the sheet in the sheet tray, and the CPU 110 may acquire sheet information generated using the sheet sensor from the printer 300. good. The sheet sensor 310 may be, for example, a sensor that detects the size of a sheet by determining whether a sheet is present at a predetermined position in the tray. In addition, the paper sensor is a sensor that detects which of a plurality of types of paper including glossy paper and plain paper by measuring the reflectance and wavelength of light reflected from the surface of the paper. Also good.

(7) In the above embodiment, the target image data is image data created by document creation software or drawing software. Instead of this, the target image data may be read image data generated by reading an object such as a document using an image sensor in a scanner, a digital camera or the like.

(8) The print control device for realizing the printing process of FIG. 2 is not limited to the terminal device 100, and may be, for example, a control device (CPU and memory) installed in the printer 300 or a multifunction machine. In this case, for example, the control device of the printer 300 may obtain the target image data from the terminal device 100, execute the printing process of FIG. 2, and print the print image by the printer 300.

  Further, a server connected to the terminal device 100 or the printer 300 via the network may execute the print control process of FIG. In this case, for example, the server may acquire the target image data from the terminal device 100, execute the print control process of FIG. 2, and transmit the generated print job to the printer 300. The server may be a single computer. Also, the server may be a plurality of computers (for example, cloud servers) that can communicate with each other via a network. In this case, the plurality of computers may share the function required for the print control process and execute the print control process as a whole. In this case, the whole of the plurality of computers is an example of the printing control apparatus.

(9) In each of the above embodiments, part of the configuration realized by hardware may be replaced by software, and conversely, part or all of the configuration implemented by software is replaced by hardware You may do so.

  Although the present invention has been described above based on the examples and modifications, the above-described embodiment of the present invention is for the purpose of facilitating the understanding of the present invention, and does not limit the present invention. The present invention can be modified and improved without departing from the spirit and the scope of the claims, and the present invention includes the equivalents thereof.

  DESCRIPTION OF SYMBOLS 100 ... Terminal device, 110 ... CPU, 120 ... Volatile storage device, 130 ... Nonvolatile storage device, 140 ... Display part, 150 ... Operation part, 300 ... Printer, 170 ... Communication IF, IM ... Photo, LN ... Local area Network, CP: attention pixel, SP: peripheral pixel, FP: farthest peripheral pixel, FT, FTb: filter selection table, TX: character, PG1: computer program, OI1 to OI3: target image, POI: partial target image, FEl , FElb ... large edge emphasis filter, FEm, FEmb ... middle edge emphasis filter, FEs ... small edge emphasis filter, FSl ... large smoothing filter, FSm ... middle smoothing filter, FSs ... small smoothing filter, Del ... distance

Claims (13)

A printing control apparatus that controls a printing execution unit that prints an image on a printing medium using a color material,
An image acquisition unit that acquires target image data indicating a target image;
A medium information acquisition unit that acquires medium information indicating a type of the print target medium on which the target image is to be printed;
A selection unit that selects a correction process to be performed from among a plurality of correction processes using the medium information;
The plurality of correction processes include a first correction process and a second correction process.
The first correction process is performed using the one or more first correction values associated with each of a plurality of first peripheral pixels positioned around a pixel of interest to be corrected in the target image. It is a process to correct the value of the pixel of interest,
The second correction process corrects the value of the pixel of interest using one or more second correction values associated with each of a plurality of second peripheral pixels located around the pixel of interest. The selection unit being a process;
A generation unit that executes generation processing including the selected correction processing on the target image data to generate print image data indicating a print image;
A print control unit that causes the print execution unit to print the print image on a print medium according to the print image data;
Equipped with
The selection unit selects the first correction process when the medium information indicates a first type of medium, and the second correction process when the medium information indicates a second type of medium. Print control device to select. The printing control apparatus according to claim 1, wherein
The first correction process is a process of changing the value of the target pixel using values of the plurality of first peripheral pixels and the one or more first correction values.
The second correction process is a process of changing the value of the target pixel using the values of the plurality of second peripheral pixels and the one or more second correction values. apparatus. The printing control apparatus according to claim 2,
The first correction process changes the value of the pixel of interest using a first filter,
The second correction process changes the value of the pixel of interest using a second filter different from the second filter,
The first filter is a filter that defines, for each of the plurality of first peripheral pixels, a relative position with respect to the target pixel and the corresponding first correction value.
The print control device according to claim 1, wherein the second filter is a filter that defines, for each of the plurality of second peripheral pixels, a relative position with respect to the pixel of interest and the corresponding second correction value. . The printing control apparatus according to claim 1, wherein
The first correction value corresponding to the first peripheral pixel whose position relative to the pixel of interest is a specific position, and the second position where the position relative to the pixel of interest is the specific position A print control device, wherein peripheral pixels and the corresponding second correction values are different from each other. The printing control apparatus according to any one of claims 1 to 4, wherein
When representing the one or more first correction values as a fraction having a common denominator, the absolute value of the numerator of the one or more first correction values includes a power of 2, 0 or 2, A printing control device, composed of the powers of The printing control apparatus according to any one of claims 1 to 5, wherein
The print control apparatus, wherein the first correction process and the second correction process are smoothing processes for smoothing an image. The print control apparatus according to claim 6, wherein
The first peripheral pixels farthest from the target pixel among the plurality of first peripheral pixels used in the first correction process are the plurality of first peripheral pixels used in the second correction process. The print control apparatus according to claim 1, wherein the second peripheral pixel farthest from the target pixel among the 2 peripheral pixels is farther from the target pixel than the second peripheral pixel. The printing control apparatus according to any one of the application examples 1 to 5, wherein
The print control apparatus, wherein the first correction process and the second correction process are edge enhancement processes for enhancing an edge of an image. The printing control apparatus according to claim 8, wherein
The second peripheral pixels farthest from the target pixel among the plurality of second peripheral pixels used in the second correction process are the plurality of second peripheral pixels used in the first correction process. A print control apparatus, which is farther from the target pixel than the first peripheral pixel farthest from the target pixel among the 1 peripheral pixels. The print control apparatus according to any one of claims 1 to 9, wherein
The second type of medium is plain paper,
The print control apparatus according to claim 1, wherein the first type of medium is a sheet having a feature in which bleeding of a color material is less likely to occur than the plain paper. The print control apparatus according to any one of claims 1 to 9, wherein
The second type of medium has a first size,
The print control device, wherein the first type of medium has a size larger than the first size. The print control apparatus according to any one of claims 1 to 11, wherein
At least one first peripheral pixel closer to the target pixel than the first peripheral pixel farthest from the target pixel among the plurality of first peripheral pixels used for the first correction processing Is a printing control apparatus not used for the first correction process. A computer program for controlling a print execution unit that prints an image on a printing medium using a color material,
An image acquisition function of acquiring target image data indicating a target image;
A medium information acquisition function of acquiring medium information indicating a type of the printing medium on which the target image is to be printed;
It is a selection function for selecting a correction process to be executed from among a plurality of correction processes using the medium information,
The plurality of correction processes include a first correction process and a second correction process.
The first correction process is performed using the one or more first correction values associated with each of a plurality of first peripheral pixels positioned around a pixel of interest to be corrected in the target image. It is a process to correct the value of the pixel of interest,
The second correction process corrects the value of the pixel of interest using one or more second correction values associated with each of a plurality of second peripheral pixels located around the pixel of interest. The selection function being processing;
A generation function of generating print image data indicating a print image by executing a generation process including the selected correction process on the target image data;
A print control function that causes the print execution unit to print the print image on a print medium according to the print image data;
On a computer,
The selection function selects the first correction process when the medium information indicates a first type of medium, and the second correction process when the medium information indicates a second type of medium. The computer program to choose.

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