Information processing system and information processing program
The information processing system addresses incomplete inspection on colored paper or pre-printed media by calculating guideline information for image-forming material usage and adjusting inspection methods, ensuring thorough quality assessment and notification of results.
Patent Information
- Application Number
- JP2024045986
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-03-22
- Publication Date
- 2025-10-03
AI Technical Summary
Existing image inspection systems fail to effectively inspect print results on colored paper or pre-printed recording media without narrowing the inspection area, leading to incomplete quality assessment.
An information processing system that calculates guideline information for image-forming material usage and compares color density of read images with pre-printed media to determine image quality, using processors to adjust inspection methods based on the amount of image-forming material applied.
Prevents narrowing of the inspection area by accurately assessing print quality on colored paper or pre-printed media, ensuring comprehensive image inspection and notifying users of normality or mismatch through detailed color density comparisons.
Smart Images

Figure 2025145678000001_ABST
Abstract
Description
[Technical Field]
[0001] The present invention relates to an information processing system and an information processing program. [Background technology]
[0002] Patent Document 1 listed below discloses an image inspection device that includes an irradiation means that irradiates a sheet on which an image based on original image data is formed with light in the infrared wavelength range, an acquisition means that acquires the original image data that is the basis for the image formed on the sheet, a generation means that receives light in the infrared wavelength range that is reflected from the sheet out of the light irradiated by the irradiation means and generates read image data with a predetermined number of gradations having gradations according to the amount of light received, a reduction means that reduces the number of gradations of the read image data generated by the generation means, and an inspection means that compares the read image data whose number of gradations has been reduced by the reduction means with the original image data and outputs data representing the comparison result.
[0003] Patent Document 2 listed below discloses an image forming device that includes an image forming unit that forms an image on a transfer medium based on a job, and a control unit that controls the image forming unit, wherein the control unit acquires an image reading result obtained by reading the image on the transfer medium on which the image has been formed by the image forming unit, compares the image in the image reading result with an image based on the printing image data of the job, and has an abnormality detection function that detects whether or not there is an abnormality in the transfer medium based on the comparison result, and during the abnormality detection, if an image of a predetermined size or larger exists as a difference in an image-free area on the transfer medium where no image formed based on the printing image data exists, the image that is the difference is determined to be different from an abnormal image. [Prior art documents] [Patent documents]
[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2008-149539 [Patent Document 2] Patent No. 6743661 Summary of the Invention [Problem to be solved by the invention]
[0005] The present invention aims to provide an information processing system and an information processing program that can prevent the inspection area from narrowing when inspecting the print result of printing an image on colored paper or a recording medium with pre-printing, compared to when colored parts or parts with pre-printing are excluded from the inspection target. [Means for solving the problem]
[0006] The information processing system according to the first aspect includes at least one processor, which, during a printing process in which image-forming material constituting a print image is placed on top of colored paper or a pre-printed recording medium, calculates guideline information for the amount of image-forming material to be used for each pixel, and when inspecting a read image obtained by reading a printed matter on which the print image has been printed on the recording medium, compares the color density of the read image with the color density of the printed image for each pixel if the value of the guideline information is relatively large, and compares the color density of the read image with the color density of the recording medium information read for each pixel before the printing process is executed.
[0007] In the information processing system described in the second aspect, in the information processing system described in the first aspect, when the value of the guideline information is relatively large, it corresponds to a case where the amount of image forming material used is relatively large, and when the value of the guideline information is relatively small, it corresponds to a case where the amount of image forming material used is relatively small.
[0008] In the information processing system described in the third aspect, in the information processing system described in the first aspect, when the processor compares the color density of the read image with the color density of the printed image through the inspection, if the difference is less than the allowable color density error, it is determined to be normal, and if the difference is greater than the allowable color density error, it is determined to be mismatched.
[0009] In the information processing system described in the fourth aspect, in the information processing system described in the first aspect, when the processor compares the color density of the read image with the color density of the read image of the recording medium through the inspection, if the difference is greater than or equal to the error in the judged color density, it is determined to be normal, and if the difference is less than the error in the judged color density, it is determined to be mismatched.
[0010] An information processing system according to a fifth aspect is the information processing system according to the third or fourth aspect, wherein the processor outputs the determination result of normality or mismatch to a display unit.
[0011] The information processing system described in the sixth aspect is the information processing system described in the first aspect, in which the processor uses another read image obtained by reading a printed matter on which blank data has been printed on the recording medium as the recording medium read image, and obtains information on the blank data and pixel position information of the background target from the recording medium read image.
[0012] The information processing system described in the seventh aspect is the information processing system described in the first aspect, wherein the processor performs processing in which the value of the guideline information is relatively large when the gradation value for each pixel corresponding to a black printed image as the image forming material is other than 0.
[0013] The information processing system described in the eighth aspect is the information processing system described in the seventh aspect, wherein the processor performs processing such that when the sum of the gradation values for each pixel corresponding to the printed image of each color other than clear as the image forming material is 0, the value of the guideline information is relatively small.
[0014] The information processing system described in the ninth aspect is the information processing system described in the eighth aspect, wherein the processor processes the value of the guideline information as being relatively large when the sum of the gradation values for each pixel corresponding to the printed image of each color other than clear as the image forming material is equal to or greater than a predetermined value.
[0015] The information processing system described in the 10th aspect is the information processing system described in the 9th aspect, wherein the processor performs processing to determine that the value of the guideline information is relatively small when the sum of the gradation values for each pixel corresponding to the printed image of each color other than clear as the image forming material is smaller than a predetermined value.
[0016] The information processing system described in an eleventh aspect is the information processing system described in the sixth aspect, wherein the processor, based on pixel position information of the base object and pixel position information of the printed image, compares the color density of the read image with the color density of the read image of the recording medium during the inspection for pixels that do not have the printed image but only have the base object.
[0017] The information processing program described in the 12th aspect causes a computer to execute a process in which, during a printing process in which image-forming material constituting a print image is placed on top of colored paper or a pre-printed recording medium, the computer calculates guideline information for the amount of image-forming material to be used for each pixel, and when inspecting a read image obtained by reading a printed matter on which the print image has been printed on the recording medium, if the value of the guideline information is relatively large, the computer compares the color density of the read image with the color density of the printed image for each pixel, and if the value of the guideline information is relatively small, the computer compares the color density of the read image with the color density of the recording medium read image read before the printing process is executed. [Effects of the Invention]
[0018] According to the information processing system described in the first aspect, when inspecting the print result in which a print image is printed on colored paper or a recording medium with pre-printing, it is possible to prevent the inspection area from narrowing compared to when colored parts or parts with pre-printing are excluded from the inspection target.
[0019] According to the information processing system described in the second aspect, when the amount of image forming material used is relatively large, the color density of the read image is compared with the color density of the printed image, and when the value of the reference information is relatively small, the color density of the read image is compared with the color density of the image read from the recording medium.
[0020] According to the information processing system of the third aspect, when the value of the reference information is relatively large and the influence of the printed image is large, the color density of the read image is close to the color density of the printed image, resulting in good image quality.
[0021] According to the information processing system of the fourth aspect, when the value of the reference information is relatively small and the influence of the printed image is small, the color density of the read image differs from the color density of the read image of the recording medium, resulting in good image quality.
[0022] According to the information processing system of the fifth aspect, it is possible to notify the user of the determination result of normality or mismatch.
[0023] According to the information processing system of the sixth aspect, pixel position information of the background object is acquired, which makes it easier to inspect the read image.
[0024] According to the information processing system of the seventh aspect, when the influence of the printed image due to the black image forming material is large, the color density of the read image can be compared with the color density of the printed image.
[0025] According to the information processing system of the eighth aspect, when the influence of the image formed by the image forming material of each color on the printed image is small, it is possible to compare the color density of the read image with the color density of the image read from the recording medium.
[0026] According to the information processing system of the ninth aspect, when the influence of the printed image due to the image forming material of each color is large, it is possible to compare the color density of the read image with the color density of the printed image.
[0027] According to the information processing system of the tenth aspect, when the influence of the image formed by the image forming material of each color on the printed image is small, it is possible to compare the color density of the read image with the color density of the image read from the recording medium.
[0028] According to the information processing system of the eleventh aspect, in pixels where there is only a background object and no printed image, color determination can be made based on the error between the color density of the read image and the color density of the read image on the recording medium.
[0029] According to the information processing program described in the 12th aspect, when inspecting the print result in which a print image is printed on colored paper or a recording medium with pre-printing, it is possible to prevent the inspection area from narrowing compared to when colored parts or parts with pre-printing are excluded from the inspection target. [Brief explanation of the drawings]
[0030] [Figure 1] 1 is a block diagram showing a hardware configuration of an information processing system according to a first embodiment. [Figure 2] FIG. 2 is a block diagram illustrating an example of a functional configuration of the information processing system. [Figure 3] 10A and 10B are explanatory diagrams showing an example of an operation for extracting pixel positions to be used as background targets; [Figure 4] FIG. 10 is an explanatory diagram showing an example of a printing operation for carrying out an inspection. [Figure 5] 10A and 10B are explanatory diagrams showing an example of obtaining reference information on the amount of toner or ink used; [Figure 6] 10A and 10B are explanatory diagrams showing an example of obtaining reference information on the amount of toner or ink used; [Figure 7] FIG. 10 is an explanatory diagram showing selection information of a determination method. [Figure 8] 10A and 10B are diagrams illustrating the relationship between estimated information on the amount of toner or ink used and the effect of the toner or ink. [Figure 9] FIG. 10 is a conceptual diagram showing switching of an inspection method. [Figure 10] 10 is a diagram showing the relationship between determination method selection information, comparison targets, and determination contents. FIG. [Figure 11] FIG. 10 is a diagram showing an inspection target, a target to be compared with, and a judgment content in judgment method D. [Figure 12] FIG. 10 is a diagram showing a determination method when the recording medium is colored paper. [Figure 13]10 is a flowchart showing the flow of a guideline information generation process in the information processing system according to the first embodiment. [Figure 14] 5 is a flowchart showing the flow of determination processing for each pixel in the information processing system according to the first embodiment. [Figure 15] 10A and 10B are explanatory diagrams showing an example of an operation for extracting non-inspection pixel positions in an information processing system of a comparative example; [Figure 16] FIG. 10 is an explanatory diagram illustrating an example of a printing operation for performing an inspection in an information processing system of a comparative example. DETAILED DESCRIPTION OF THE INVENTION
[0031] An example of an embodiment of the present invention will be described below with reference to the drawings. The same or equivalent components and parts in each drawing are designated by the same reference numerals. The dimensional proportions in the drawings are exaggerated for the sake of clarity and may differ from the actual proportions.
[0032] [First embodiment] FIG. 1 is a block diagram showing the hardware configuration of an information processing system 10 according to the first embodiment.
[0033] (Hardware configuration of information processing system) As shown in Fig. 1, an information processing system 10 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a storage 14, an input unit 15, a display unit 16, a communication interface 17, a printing unit 18, a scanning unit 19, and an inspection unit 20. Each component is connected to each other via a bus 29 so as to be able to communicate with each other. As an example, the information processing system 10 is configured as an image forming system including the printing unit 18. In this disclosure, the term "system" includes both a system configured by multiple devices and a system configured by a single device.
[0034] In the information processing system 10, the input unit 15, the display unit 16, the communication interface 17, the printing unit 18, and the scanning unit 19 are not limited to being directly connected to the bus 29. For example, one or more of the input unit 15, the display unit 16, the printing unit 18, and the scanning unit 19 may be connected as an external device via an input / output interface connected to the bus 29.
[0035] The CPU 11 is a central processing unit that executes various programs and controls each part. The CPU 11 is an example of a processor. The CPU 11 reads a program from the ROM 12 or the storage 14 and executes the program using the RAM 13 as a work area. The CPU 11 controls each of the above components and performs various arithmetic processing in accordance with the program read from the ROM 12 or the storage 14.
[0036] The ROM 12 stores various programs and various data. The RAM 13 temporarily stores programs or data as a working area. The storage 14 is configured with an HDD (Hard Disk Drive) or SSD (Solid State Drive) and stores various programs including the operating system and various data.
[0037] The input unit 15 is used by a user to perform input operations. When a user performs input operations on the input unit 15, the printing unit 18, the inspection unit 20, and the like are operated.
[0038] The display unit 16 displays various information. As an example, the display unit 16 is configured with a liquid crystal display. For example, the display unit 16 displays a print image as print data to be printed by the printing unit 18, inspection results by the inspection unit 20, etc.
[0039] In the first embodiment, the input unit 15 and the display unit 16 are separate, but instead, a display operation unit may be provided that integrates the function of a display unit that displays various information and the function of an input unit that allows a user to perform input operations. For example, the display operation unit may be provided with an operation panel. For example, the operation panel is a touch panel UI (user interface), which is a touch panel display in which a touch panel is superimposed on a liquid crystal display.
[0040] The communication interface 17 is an interface for communicating with a network, and uses standards such as Ethernet (registered trademark), FDDI, and Wi-Fi (registered trademark). The network is, for example, the Internet, or a wired or wireless network. As an example, the information processing system 10 is connected to a server (not shown) via the communication interface 17, and can communicate information with the server.
[0041] The printing unit 18 prints a print image, such as print data, on paper. Paper is an example of a recording medium. As an example, the print image may be received from an external device via a network using the communication interface 17, or may be obtained by reading a document using an image reading device (not shown). Although not shown, the information processing system 10 shown in FIG. 1 may be configured to include an image reading device that optically reads image data from a document.
[0042] The printing unit 18 performs processes such as transporting multiple sheets of paper one by one to the printing position of the printing unit 18, printing on the sheets, and discharging the printed sheets. The printing unit 18 may be configured to include an electrophotographic printing mechanism that prints an image on the sheets using toner, or may be configured to include an ink ejection printing mechanism that forms an image by ejecting ink onto the sheets. Toner or ink are examples of image-forming materials. The printing unit 18 performs a printing process in which the image-forming material that constitutes the print image is placed on top of the sheets and printed. When print data and various operational commands are input from the CPU 11, the printing unit 18 prints on one or both sides of the sheets and discharges them to the ejection unit.
[0043] When inspecting a printed matter on which a print image is printed on paper, the scanning unit 19 optically reads printed matter data from the printed matter. The scanning unit 19 is disposed downstream of the printing unit 18 in the paper transport direction. When an operation command to inspect a printed matter is input from the CPU 11, the scanning unit 19 reads the printed matter and acquires a scanned image to be inspected. In addition, for colored paper or paper with pre-printing, the scanning unit 19 reads printed matter on which blank data is printed and acquires a scanned image that is information about the paper.
[0044] The inspection unit 20 inspects the image quality of a printed matter on which a print image has been printed by the printing unit 18. The inspection unit 20 inspects the image quality of the printed matter based on, for example, an inspection instruction input by the input unit 15. The inspection unit 20 inspects the image quality using a scanned image obtained by reading the printed matter with the scanning unit 19. The inspection of image quality by the inspection unit 20 will be described later.
[0045] (Functional configuration of information processing system) FIG. 2 is a block diagram showing an example of the functional configuration of the information processing system 10. As shown in FIG.
[0046] 2, the information processing system 10 has, as its functional components, an inspection object scan image acquisition unit 51, a paper scan image acquisition unit 52, a background object pixel position extraction unit 53, a print image information acquisition unit 54, a guideline information generation unit 55, a judgment method selection unit 56, a color density comparison unit 57, a color judgment unit 58, a memory unit 59, and an output unit 60. Each functional component is realized by the CPU 11 reading out an information processing program stored in the ROM 12 or storage 14, expanding it in the RAM 13, and executing it.
[0047] The inspection object scanned image acquisition unit 51 acquires a scanned image to be used as an inspection object by reading a printout on which a print image is printed on paper.
[0048] For example, as shown in FIG. 4, the inspection object scanned image acquisition unit 51 acquires a first scanned image 84 (see Lab system scanned image N in FIG. 4) obtained by reading a printed matter 82 in which a CMYK system printed image 81 is printed on paper P1, which is an example of a printing object. The first scanned image 84 is acquired by reading the printed matter 82 with the scanning unit 19. The first scanned image 84 is an object to be inspected by the inspection unit 20, as described above. The CMYK system printed image 81 is image data. The first scanned image 84 (see Lab system scanned image N in FIG. 4) is also an example of a read image.
[0049] Here, the CMYK system is a method used to express colors in printed materials, and is an abbreviation of Cyan, Magenta, Yellow, and Key Plate (approximately black). The Lab system refers to the L*a*b* color space, a color system for expressing the color of an object. Lightness is represented by L*, and chromaticity, which indicates hue and saturation, is represented by a* and b*. The first scanned image 84 is stored, for example, in the memory unit 59.
[0050] The paper scan image acquisition unit 52 acquires a paper scan image obtained by reading paper information before the execution of the printing process for colored paper or paper with pre-printing.
[0051] For example, as shown in FIG. 3, the paper scan image acquisition unit 52 acquires a second scan image 74 (see Lab scan image A in FIG. 3) obtained by reading a printed matter 72 in which CMYK blank data 71 is printed on paper P1, which is an example of a printing object. The second scan image 74 is acquired by reading the printed matter 72 with the scanning unit 19. The second scan image 74 is an example of a recording medium read image and an example of another read image. The second scan image 74 is stored, for example, in the memory unit 59. Note that in the first embodiment, the second scan image 74 is acquired by reading a printed matter 72 in which CMYK blank data 71 is printed on paper P1, but the present invention is not limited to this. For example, the second scan image may be acquired by reading the paper P1 itself.
[0052] The background target pixel position extraction unit 53 extracts pixel positions to be used as background targets from information about paper, which is an example of a printing target. As an example, for colored paper or paper with pre-printing, the background target pixel position extraction unit 53 extracts pixel positions to be used as background targets corresponding to the colored paper, or extracts pixel positions to be used as background targets corresponding to the pre-printed portion.
[0053] For example, as shown in FIG. 3 , the background target pixel position extraction unit 53 acquires an expected image 73 in the Lab system corresponding to blank data 71 in the CMYK system. The expected image 73 is an example of blank data information. The background target pixel position extraction unit 53 then compares the expected image 73 in the Lab system with the second scanned image 74, and designates any mismatches as "pixel positions to be used as background targets." As a result, the background target pixel position extraction unit 53 obtains background target pixel position information 94 including pixel positions 94A to be used as background targets. The background target pixel position information 94 is stored, for example, in the storage unit 59.
[0054] The print image information acquisition unit 54 acquires information about a print image to be printed on paper, which is an example of a print medium. For example, as shown in FIG. 4, a CMYK print image 81 to be printed on paper P1, which is an example of a print medium, is acquired. Furthermore, the print image information acquisition unit 54 acquires a Lab expected image 102 corresponding to the CMYK print image 81. The Lab expected image 102 is an example of a print image. In FIG. 4, the image shown in the expected image 102 is omitted. Furthermore, as shown in FIG. 5, for example, the print image information acquisition unit 54 acquires print object pixel position information 92, which includes pixel positions 92A of the print object, from the information about the CMYK print image 81. Here, a print object refers to an element that constitutes print data to be printed on paper.
[0055] The guideline information generating unit 55 obtains guideline information on the amount of image forming material (for example, toner or ink) to be used for each image.
[0056] For example, as shown in Fig. 6, it is preferable that the guideline information generating unit 55 increases the value of the guideline information when the amount of image forming material (e.g., toner or ink) used is likely to affect the paper condition (cyan, magenta, yellow, black, and white plates). Also, it is preferable that the guideline information generating unit 55 decreases the value of the guideline information when the amount of image forming material (e.g., toner or ink) used is unlikely to affect the paper condition (clear plate, which is a clear color). The guideline information for the amount of image forming material (e.g., toner or ink) used shown in Fig. 6 is an example of a 2-bit case.
[0057] As an example, as shown in FIG. 7, the guideline information generating unit 55 obtains guideline information for the usage amount of image forming material (e.g., toner or ink) according to the gradation value of black or the combined gradation value of each color. For example, when the usage amount of image forming material (e.g., toner or ink) is relatively large, the guideline information generating unit 55 may increase the value of the guideline information for the usage amount of image forming material (e.g., toner or ink). When the usage amount of image forming material (e.g., toner or ink) is relatively small, the guideline information generating unit 55 may decrease the value of the guideline information for the usage amount of image forming material (e.g., toner or ink). The guideline information for the usage amount of image forming material (e.g., toner or ink) shown in FIG. 7 is an example of a 2-bit information.
[0058] As an example, as shown in FIGS. 7 and 8, when the gradation value of the K (black) plate is not 0, the target information generating unit 55 relatively increases the value of the target information (e.g., 2b'11) because the influence of the image forming material (e.g., toner or ink) is large. Here, when the gradation value is 0, no image forming material of the corresponding color is applied to the paper. As the gradation value increases, the amount of image forming material of the corresponding color applied to the paper increases. As an example, when the gradation value obtained by adding up the colors is 0, the target information generating unit 55 relatively decreases the value of the target information (e.g., 2b'00) because the influence of the image forming material (e.g., toner or ink) is small. As an example, when the gradation value obtained by adding up the colors is smaller than a specified value, which is an example of a predetermined value, the target information generating unit 55 relatively decreases the value of the target information (e.g., 2b'01) because the influence of the image forming material (e.g., toner or ink) is small. As an example, if the combined gradation value of each color is equal to or greater than a specified value, the guideline information generating unit 55 increases the value of the guideline information relatively (for example, 2b'10) because the influence of the image forming material (for example, toner or ink) is large.
[0059] 5, the guideline information generating unit 55 obtains guideline information 96 of the usage amount of image forming material (for example, toner or ink) for each pixel, and inputs the value of the guideline information 96 for each pixel. The guideline information 96 of the usage amount of image forming material for each pixel is stored in the storage unit 59, for example.
[0060] For example, the guideline information generating unit 55 generates determination pixel information (for example, 2 bits) from the print object pixel position information 92 and the background target pixel position information 94 (see FIG. 7).
[0061] The determination method selection unit 56 selects a determination method for the inspection by the inspection unit 20. As shown in Fig. 5, the determination method selection unit 56 generates determination method selection information 98 by combining target information 96 of the amount of image formation material used for each pixel, background target pixel position information 94, and print object pixel position information 92. For example, the determination method selection unit 56 selects a determination method for the inspection based on the determination method selection information 98.
[0062] For example, as shown in FIG. 9, if the pixel position does not correspond to either pixel position 94A to be the background target (see FIG. 5) or pixel position 92A of the print object (see FIG. 5), determination method A is applied. If the pixel position does not correspond to pixel position 94A to be the background target and corresponds only to pixel position 92A of the print object, determination method B is applied. If the pixel position does not correspond to pixel position 92A of the print object and corresponds only to pixel position 94A to be the background target, determination method C is applied. If the pixel position corresponds to the overlapping portion between pixel position 92A of the print object and pixel position 94A to be the background target, determination method D is applied. The details of determination methods A to D will be described later.
[0063] The color density comparison unit 57 compares the color density of the inspection object with the color density of the comparison object based on the determination methods A to D. The inspection object is, for example, the first scanned image 84 (see scanned image N in FIG. 4). The comparison object differs depending on the determination methods A to D. The comparison object will be described later.
[0064] The color judgment unit 58 judges the color of the inspection object based on the comparison result obtained by comparing the color density of the inspection object with the color density of the comparison object. The color judgment unit 58 judges the color of the inspection object based on the judgment content shown in FIG. 10, for example.
[0065] 10 is a diagram showing an example of the relationship between the determination means selection information (see the determination method selection information 98 shown in FIG. 5), the test object, the comparison object, and the determination content. For example, the relationship between the determination means selection information, the test object, the comparison object, and the determination content shown in FIG. 10 is stored in the storage unit 59 as a table related to the determination method.
[0066] As shown in FIG. 10, for example, in the determination method selection information (see the determination method selection information 98 shown in FIG. 5), determination method A is applied to the area with determination pixel information "2b'00." The object to be inspected is the first scanned image 84 in the Lab system (scanned image N in FIG. 10). The object to be compared is the location of "2b'00" in the determination method selection information 98. In comparing the color density of the object to be inspected with the color density of the object to be compared, if the object to be inspected is not in a blank state, it is determined to be a mismatch. In other words, if the object to be inspected is in a blank state, it is determined to be a match.
[0067] For example, in the determination method selection information, determination method B is applied to the area with determination pixel information "2b'01." The inspection object is the first scanned image 84 in the Lab system (scanned image N in FIG. 10). The comparison object is the location "2b'01" in the expected image 102. That is, the color density of the first scanned image 84 in the Lab system (scanned image N in FIG. 10) to be inspected is compared with the color density of the expected image 102 in the Lab system. When the color density of the inspection object is compared with the color density of the expected image 102, if there is a difference that is equal to or greater than the allowable color density error, it is determined to be a mismatch. That is, when the color density of the inspection object is compared with the color density of the expected image 102, if there is a difference that is smaller than the allowable color density error, it is determined to be a match.
[0068] For example, in the judgment method selection information, judgment method C is applied to the area with judgment pixel information "2b'10." The inspection object is the first scanned image 84 in the Lab system (scanned image N in FIG. 10). The comparison object is the second scanned image 74 in the Lab system (scanned image A in FIG. 10). That is, the color density of the first scanned image 84 in the Lab system (scanned image N in FIG. 10) to be inspected is compared with the color density of the second scanned image 74 in the Lab system (scanned image A in FIG. 10). When the color density of the inspection object is compared with the color density of the second scanned image 74 (scanned image A in FIG. 10), if there is a difference that is equal to or greater than the allowable color density error, it is determined to be a mismatch. That is, when the color density of the inspection object is compared with the color density of the second scanned image 74 (scanned image A in FIG. 10), if there is a difference that is smaller than the allowable color density error, it is determined to be a match.
[0069] For example, in the determination method selection information, determination method D is applied to the area of determination pixel information "2b'11." The inspection object is the first scanned image 84 of the Lab system (scanned image N in FIG. 10). In determination method D, the comparison object is switched between the expected image of the Lab system and the first scanned image (scanned image A) depending on the conditions described below.
[0070] FIG. 11 is a diagram showing an example of the relationship between the inspection object, the comparison object, and the judgment content when judgment method D is applied. In FIG. 11, the paper is an example of colored paper. The relationship between the inspection object, the comparison object, and the judgment content shown in FIG. 11 is stored in the storage unit 59 as a table related to judgment method D. As shown in FIG. 11, the inspection object is a first scanned image 114 (see scanned image N in FIG. 11). The first scanned image 114 is a Lab-based scanned image obtained by reading a printed matter in which a printed image is printed on colored paper.
[0071] Since the image forming material (toner or ink) that makes up the print object is placed on top of the paper, for example, when the influence of the print object is large, the comparison object is the Lab-based expected image 102. When the influence of the print object is large, the value of the guide information for the amount of image forming material (for example, toner or ink) used is relatively large. When the influence of the print object is large, this corresponds to when the amount of image forming material (toner or ink) used is relatively large. In this case, it is better for the color density to be as close as possible, so the color density of the test object is compared with the color density of the expected image 102.
[0072] When the color density of the test object is compared with the color density of the expected image 102, for example, if the difference is less than the allowable color density error, the color density is determined to be normal, and if the difference is greater than the allowable color density error, the color density is determined to be inconsistent.
[0073] 11, for example, when the influence of the print object is small, the comparison target is the second scanned image 112 (scanned image A in FIG. 11). In the example shown in FIG. 11, the paper is colored paper, so the second scanned image 112 is scanned image A obtained by scanning a printout in which blank data has been printed on colored paper. In other words, the second scanned image 112 is an example of a recording medium scanned image obtained by scanning paper information before the execution of the printing process. The paper information is scannable image information that includes color information.
[0074] When the influence of the print object is small, the value of the guideline information for the amount of image forming material used is relatively small. When the influence of the print object is small, it corresponds to a case where the amount of image forming material (toner or ink) used is relatively small. In this case, different color densities are preferable, so the color densities of the test object are compared with the color densities of the second scanned image 112 (scanned image A in FIG. 11).
[0075] When the color density of the test object is compared with the color density of the second scanned image 112 (scanned image A in FIG. 11), for example, if the difference is greater than or equal to the judged color density error, the color density is judged to be normal, and if the difference is less than the judged color density error, the color density is judged to be mismatched.
[0076] As shown in Figure 12, when the paper is colored paper, the first scanned image 114 obtained by reading a printed matter on which a print image is printed is subjected to determination method D at pixel position 114A where only the background object is present, pixel position 114B where only the print object is present, and pixel position 114C where the background object and the print object overlap.
[0077] The storage unit 59 stores information related to the inspection. As described above, the storage unit 59 stores, for example, a first scanned image 84 obtained by reading a printed matter 82 in which a CMYK printed image 81 is printed on paper P1. The storage unit 59 also stores, for example, a second scanned image 74 and background target pixel position information 94. The storage unit 59 also stores, for example, guideline information 96 on the amount of image forming material (for example, toner or ink) used for each image. The storage unit 59 also stores, for example, tables related to determination methods (see FIGS. 10 and 11).
[0078] The output unit 60 outputs information related to the test results. For example, the output unit 60 outputs the color judgment result, whether normal or inconsistent, to the display unit 16 as the test result.
[0079] (Inspection method of comparative example) Here, inspection of the image quality of a printed matter using an information processing system of a comparative example will be described.
[0080] 15 is an explanatory diagram showing a method for extracting pixel positions outside the inspection target by an information processing system of the comparative example. As shown in FIG. 15, the information processing system of the comparative example forms a printed matter 502 by printing blank data 501 (CMYK printed image) on paper P1, which is an example of a printing target, and obtains a second scanned image 504 in Lab system by reading the printed matter 502 with a scanning unit. The information processing system of the comparative example compares an expected image 503 in Lab system corresponding to the blank data 501 in CMYK system with the second scanned image 504 in Lab system, and sets the mismatched portion as a pixel position 506A to be excluded from the inspection target. In this way, non-inspection pixel position information 506 including the pixel position 506A to be excluded from the inspection target is obtained.
[0081] Fig. 16 is an explanatory diagram showing printing performed by an information processing system of a comparative example. As shown in Fig. 16, the information processing system of the comparative example forms a printed matter 512 by printing a CMYK printed image 511 on paper P1, which is an example of a printing object, and obtains a first Lab scanned image 514 by reading the printed matter 512 with a scanning unit.
[0082] In the information processing system of the comparative example, an expected image 513 in Lab system corresponding to a printed image 511 in CMYK system is acquired. In Fig. 16, the image shown in the expected image 513 is omitted. A Lab-based first scanned image 514 is compared with a Lab-based expected image 513 for inspection. At this time, inspection is not performed at pixel position 506A, which is not subject to inspection. For this reason, although not shown, if the paper, which is an example of the printing object, is colored paper, the entire image will be excluded from inspection.
[0083] (Operation of the first embodiment) Next, the operation of the information processing system 10 of the first embodiment will be described.
[0084] 13 is a flowchart showing the flow of the guideline information generation process performed by the information processing system 10 of the first embodiment. In the information processing system 10, the CPU 11 reads out an information processing program for generating guideline information from the ROM 12 or the storage 14, expands it in the RAM 13, and executes it, thereby performing information processing.
[0085] The CPU 11 determines whether the gradation value of the K plate (black plate) is 0 (step S201). If the gradation value of the K plate (black plate) is 0, no black image forming material (toner or ink) is placed on the paper.
[0086] If the gradation value of the K plate (black plate) is not 0 (step S201: NO), the CPU 11 sets the guideline information to 2b'11 (step S202). In this case, the influence of the black image forming material (toner or ink) is large, and the value of the guideline information for the amount of image forming material used is relatively large (see FIG. 8). This ends the processing based on the program for the guideline information generation processing handled by the information processing system 10.
[0087] If the gradation value of the K plate (black plate) is 0 (step S201: YES), the CPU 11 sums up the gradation values of plates other than the clear plate (step S203). In the following flowcharts, the gradation value obtained by summing up the gradation values of plates other than the clear plate will be referred to as the "summed gradation value." Plates other than the clear plate include, for example, the cyan plate, magenta plate, yellow plate, and white plate (WT plate) (see FIG. 6).
[0088] The CPU 11 determines whether the total gradation value is 0 (step S204). If the total gradation value is not 0, it means that one or more colors of the plates other than the clear plate are to be placed on the paper.
[0089] If the summed gradation value is 0 (step S204: YES), CPU 11 sets the guideline information to 2b'00 (step S205). In this case, the influence of the image forming material (toner or ink) is small, and the value of the guideline information for the amount of image forming material used is relatively small (see FIG. 8). This ends the processing based on the program for the guideline information generation processing, which is handled by information processing system 10.
[0090] If the summed gradation value is not 0 (step S204: NO), the CPU 11 determines whether the summed gradation value is equal to or greater than a specified value (step S206). The specified value is a value determined in advance.
[0091] If the summed gradation value is equal to or greater than the specified value (step S206: YES), CPU 11 sets the guideline information to 2b'10 (step S207). In this case, the influence of the image forming material (toner or ink) is large, and the value of the guideline information for the amount of image forming material used is relatively large (see FIG. 8). This ends the processing based on the program for the guideline information generation processing, which is handled by information processing system 10.
[0092] If the summed gradation value is smaller than the specified value (step S206: NO), the CPU 11 sets the guideline information to 2b'01 (step S208). In this case, the influence of the image forming material (toner or ink) is small, and the value of the guideline information for the amount of image forming material used is relatively small (see FIG. 8). This ends the processing based on the program for the guideline information generation processing, which is handled by the information processing system 10.
[0093] 14 is a flowchart showing the flow of pixel-by-pixel determination processing handled by the information processing system 10 of the first embodiment. In the information processing system 10, the CPU 11 reads out an information processing program for pixel-by-pixel determination from the ROM 12 or the storage 14, expands it in the RAM 13, and executes it, thereby performing information processing.
[0094] The CPU 11 determines whether the guideline information for the amount of image forming material (toner or ink) used is either 2b'11 or 2b'10 (step S251). If the guideline information is either 2b'11 or 2b'10, the value of the guideline information is relatively large, and the influence of print objects made up of image forming material (toner or ink) is large. If the guideline information is neither 2b'11 nor 2b'10 (i.e., the guideline information is neither 2b'11 nor 2b'10), the guideline information is 2b'01 or 2b'00. If the guideline information is 2b'01 or 2b'00, the value of the guideline information is relatively small, and the influence of print objects made up of image forming material (toner or ink) is small.
[0095] If the guideline information for the amount of image forming material (toner or ink) used is either 2b'11 or 2b'10 (step S251: YES), the CPU 11 determines whether the error between the scanned image N and the expected image is smaller than the allowable color density error (step S252). Specifically, as shown in Fig. 11, the CPU 11 compares the color density of the first scanned image 114 (scanned image N) to be inspected with the color density of the expected image 102 to be compared. The CPU 11 determines whether the error between the color density of the first scanned image 114 (scanned image N) and the color density of the expected image 102 is smaller than the allowable color density error.
[0096] If the reference information for the amount of image forming material (toner or ink) used is neither 2b'11 nor 2b'10 (step S251: NO), the CPU 11 determines whether the error between scanned image N and scanned image A is equal to or greater than the determined color density error (step S253). Specifically, as shown in FIG. 11, the CPU 11 compares the color density of the first scanned image 114 (scanned image N) to be inspected with the color density of the second scanned image 112 (scanned image A) to be compared. The CPU 11 determines whether the error between the color density of the first scanned image 114 (scanned image N) and the color density of the second scanned image 112 (scanned image A) is equal to or greater than the determined color density error.
[0097] In the process of step S252, if the error between the scanned image N and the expected image is smaller than the allowable color density error (step S252: YES), the CPU 11 performs a process of determining that the color density of the object to be inspected is normal (step S254). If the error is smaller than the allowable color density error, the process is the same as when the error is less than the allowable color density error.
[0098] If the error between the scanned image N and the expected printed image is equal to or greater than the allowable color density error (step S252: NO), the CPU 11 performs processing to determine that the color densities of the inspection target do not match (step S255).
[0099] Furthermore, in the process of step S253, if the error between scanned image N and scanned image A is equal to or greater than the determined color density error (step S253: YES), the CPU 11 proceeds to the process of step S254. That is, the CPU 11 performs a process of determining that the color density of the test object is normal (step S254).
[0100] If the error between scanned image N and scanned image A is smaller than the determined color density error (step S252: NO), the CPU 11 proceeds to the process of step S255. That is, the CPU 11 performs a process of determining that the color densities of the inspection target do not match (step S255). This determination process is performed for each pixel. This ends the process based on the information processing program for determining each pixel, which is handled by the information processing system 10.
[0101] In the information processing system 10, the CPU 11 calculates target information for the amount of image-forming material used for each pixel during printing on colored paper or pre-printed paper, with the image-forming material constituting the print image placed on top. Furthermore, when inspecting a scanned image N (e.g., the first scanned image 114 shown in FIG. 11 ) obtained by scanning a printed matter on which a print image has been printed, if the value of the target information is relatively large, the CPU 11 compares the color density of the scanned image N with the color density of the expected image 102 for each pixel (see FIG. 11 ). Furthermore, if the value of the target information is relatively small, the CPU 11 compares the color density of the scanned image N (e.g., the first scanned image 114 shown in FIG. 11 ) with the color density of a scanned image A (e.g., the second scanned image 112 shown in FIG. 11 ) obtained by scanning the paper information before the printing process.
[0102] Therefore, when inspecting a print result in which a print image is printed on colored paper or paper with pre-printing, the information processing system 10 can prevent the inspection area from narrowing compared to when colored portions or pre-printed portions are excluded from the inspection. For example, in the information processing system of the comparative example shown in FIG. 16, the pre-printed portion is excluded from the inspection at pixel position 506A. In contrast, the information processing system 10 can prevent the inspection area from narrowing compared to when the pre-printed portion is excluded from the inspection.
[0103] Furthermore, in the information processing system 10, a relatively large value of the guideline information corresponds to a relatively large amount of image-forming material used, and a relatively small value of the guideline information corresponds to a relatively small amount of image-forming material used. Therefore, in the information processing system 10, when the amount of image-forming material used is relatively large, the color density of scanned image N (e.g., the first scanned image 114 shown in FIG. 11) can be compared with the color density of the expected image 102 (see FIG. 11). Furthermore, when the value of the guideline information is relatively small, the color density of scanned image N (e.g., the first scanned image 114 shown in FIG. 11) can be compared with the color density of scanned image A (e.g., the second scanned image 112 shown in FIG. 11).
[0104] Furthermore, when the CPU 11 compares the color density of the scanned image N (for example, the first scanned image 114 shown in FIG. 11) with the color density of the expected image 102 through inspection, if the difference is less than the allowable color density error, it is determined to be normal, and if the difference is greater than the allowable color density error, it is determined to be mismatched. Therefore, in the information processing system 10, when the value of the guideline information is relatively large and the influence of the printed image is large, the color density of the scanned image N (for example, the first scanned image 114 shown in FIG. 11) is close to the color density of the expected image 102, resulting in good image quality.
[0105] Furthermore, when the CPU 11 compares the color density of scanned image N (for example, the first scanned image 114 shown in FIG. 11) with the color density of scanned image A (for example, the second scanned image 112 shown in FIG. 11) through inspection, if the difference is equal to or greater than the error in the judged color density, it is determined to be normal, and if the difference is less than the error in the judged color density, it is determined to be mismatched. Therefore, in the information processing system 10, if the value of the guideline information is relatively small and the influence of the printed image is small, the color density of scanned image N (for example, the first scanned image 114 shown in FIG. 11) will differ from the color density of scanned image A (for example, the second scanned image 112 shown in FIG. 11), resulting in good image quality.
[0106] Furthermore, the CPU 11 outputs the determination result of normality or mismatch to the display unit 16. Therefore, the information processing system 10 can notify the user of the determination result of normality or mismatch.
[0107] The CPU 11 also reads an image of a printed matter on which blank data has been printed, and generates a scanned image A (for example, the second scanned image 112 shown in FIG. 11). The CPU 11 then obtains background target pixel position information 94 including pixel positions 94A of the background target from the expected image 73 as information on the blank data and the scanned image A (for example, the second scanned image 112 shown in FIG. 11). Therefore, in the information processing system 10, obtaining the background target pixel position information 94 makes it easier to inspect the scanned image N of the printed matter (for example, the first scanned image 114 shown in FIG. 11).
[0108] Furthermore, the CPU 11 performs processing to determine that the value of the reference information is relatively large when the gradation value for each pixel corresponding to the printed image of black (i.e., black) as the image forming material is other than 0. Therefore, in the information processing system 10, when the influence of the printed image due to the black image forming material is large, the color density of the scanned image N of the printed matter (for example, the first scanned image 114 shown in FIG. 11) can be compared with the color density of the expected image 102.
[0109] Furthermore, the CPU 11 performs processing to determine that the value of the reference information is relatively small when the sum of the gradation values for each pixel corresponding to the printed image of each color other than clear as the image forming material is 0. Therefore, in the information processing system 10, when the influence of the printed image due to the image forming material of each color is small, the color density of the scanned image N of the printed matter (for example, the first scanned image 114 shown in FIG. 11) can be compared with the color density of the scanned image A corresponding to the paper (for example, the second scanned image 112 shown in FIG. 11).
[0110] Furthermore, when the sum of the gradation values for each pixel corresponding to the printed image of each color other than clear as the image forming material is equal to or greater than a specified value, the CPU 11 performs processing to determine that the value of the reference information is relatively large. Therefore, in the information processing system 10, when the influence of the printed image due to the image forming material of each color is large, the color density of the scanned image N of the printed matter (for example, the first scanned image 114 shown in FIG. 11) can be compared with the color density of the expected image 102.
[0111] Furthermore, when the sum of the gradation values for each pixel corresponding to the printed image of each color other than clear as the image forming material is smaller than a specified value, the CPU 11 performs processing to determine that the value of the guideline information is relatively small. Therefore, when the influence of the printed image due to the image forming material of each color is small, the information processing system 10 can compare the color density of the scanned image N of the printed matter (for example, the first scanned image 114 shown in FIG. 11) with the color density of the scanned image A corresponding to the paper (for example, the second scanned image 112 shown in FIG. 11).
[0112] Furthermore, based on the pixel position information of the background object and the pixel position information of the printed image, the CPU 11 compares the color density of the scanned image N of the printed matter (for example, the first scanned image 84 shown in FIG. 10) with the color density of the scanned image A corresponding to the paper (for example, the second scanned image 74 shown in FIG. 10) for pixels that have only a background object and no printed image during inspection. Therefore, in the information processing system 10, for pixels that have only a background object and no printed image, color determination can be made based on the error between the color density of the scanned image N (for example, the first scanned image 84 shown in FIG. 10) and the color density of the scanned image A (for example, the second scanned image 74 shown in FIG. 10).
[0113] 〔others〕 The information processing system of the present disclosure is not limited to the information processing system 10 described in the first embodiment, and various modifications are possible.
[0114] The above-described processing of the information processing system 10 can also be realized by a dedicated hardware circuit. In this case, the processing may be performed by a single piece of hardware or by multiple pieces of hardware.
[0115] The program that operates the information processing system 10 may be provided by a computer-readable recording medium such as a USB (Universal Serial Bus) memory, a flexible disk, or a CD-ROM (Compact Disc Read Only Memory), or may be provided online via a network such as the Internet. In this case, the program recorded on the computer-readable recording medium is typically transferred and stored in a memory or storage device. The program may be provided as standalone application software, or may be incorporated into the software of each device of the information processing system 10 as a function thereof.
[0116] Although the present invention has been described in detail with reference to specific embodiments, it will be apparent to those skilled in the art that the present invention is not limited to such embodiments, and that various other embodiments are possible within the scope of the present invention.
[0117] [Note] The following additional notes are provided regarding the above-described embodiments. (((1))) at least one processor; The processor: During a printing process in which an image forming material constituting a print image is placed on top of colored paper or a pre-printed recording medium, information on the estimated amount of the image forming material to be used is obtained for each pixel; When inspecting a read image obtained by reading a printout of the print image printed on the recording medium, if the value of the reference information is relatively large, a comparison is made between the color density of the read image and the color density of the print image for each pixel, When the value of the reference information is relatively small, the information processing system compares the color density of the read image and the information of the recording medium for each pixel with the color density of the read image of the recording medium read before the printing process is executed.
[0118] (((2))) A relatively large value of the guideline information corresponds to a relatively large amount of the image forming material used, The information processing system according to (((1))), wherein a relatively small value of the guideline information corresponds to a relatively small amount of the image forming material used.
[0119] (((3))) The processor: The information processing system described in (((1))) or (((2))) is configured such that, when the color density of the read image is compared with the color density of the printed image by the inspection, if the difference is less than the allowable color density error, it is determined to be normal, and if the difference is greater than the allowable color density error, it is determined to be mismatched.
[0120] (((4))) The processor: An information processing system described in any one of (((1))) to (((3))), wherein, when the color density of the read image is compared with the color density of the read image of the recording medium by the inspection, if the difference is equal to or greater than the error of the judged color density, it is judged to be normal, and if the difference is less than the error of the judged color density, it is judged to be mismatched.
[0121] (((5))) The processor: The information processing system according to (((3))) or (((4))), wherein the determination result of whether the information processing system is normal or mismatched is output to a display unit.
[0122] (((6))) The processor: An information processing system according to any one of (((1))) to (((5))), in which another read image obtained by reading a printed matter on which blank data has been printed on the recording medium is used as the recording medium read image, and information on the blank data and pixel position information of the background object are obtained from the recording medium read image.
[0123] (((7))) The processor: An information processing system described in any one of (((1))) to (((6))), wherein when the gradation value for each pixel corresponding to a black printed image as the image forming material is other than 0, processing is performed to determine that the value of the reference information is relatively large.
[0124] (((8))) The processor: The information processing system described in (((7))) performs processing to indicate that the value of the reference information is relatively small when the sum of the gradation values for each pixel corresponding to the printed image of each color other than clear as the image forming material is 0.
[0125] (((9))) The processor: The information processing system described in (((8))) performs processing to determine that the value of the reference information is relatively large when the sum of the gradation values for each pixel corresponding to the printed image of each color other than clear as the image forming material is equal to or greater than a predetermined value.
[0126] (((10))) The processor: The information processing system described in (((9)))) performs processing to indicate that the value of the reference information is relatively small when the sum of the gradation values for each pixel corresponding to the printed image of each color other than clear as the image forming material is smaller than a predetermined value.
[0127] (((11))) The processor: The information processing system described in (((6)))), wherein, based on pixel position information of the background object and pixel position information of the print image, for pixels that do not have the print image but have only the background object, the color density of the read image is compared with the color density of the read image of the recording medium during the inspection.
[0128] (((12))) During a printing process in which an image forming material constituting a print image is printed on top of colored paper or a pre-printed recording medium, information on the estimated amount of the image forming material to be used is calculated for each pixel; When inspecting a read image obtained by reading a printout of the print image printed on the recording medium, if the value of the reference information is relatively large, a comparison is made between the color density of the read image and the color density of the print image for each pixel, An information processing program that causes a computer to execute a process of comparing, for each pixel, the color density of the read image and the information of the recording medium with the color density of the recording medium read image read before the printing process is executed, if the value of the reference information is relatively small.
[0129] According to the information processing system described in (((1))), when inspecting the print result of printing an image on colored paper or a recording medium with pre-printing, it is possible to prevent the inspection area from narrowing compared to when colored parts or parts with pre-printing are excluded from the inspection.
[0130] According to the information processing system described in (((2))), when the amount of image forming material used is relatively large, the color density of the read image can be compared with the color density of the printed image, and when the value of the reference information is relatively small, the color density of the read image can be compared with the color density of the image read from the recording medium.
[0131] According to the information processing system described in (((3))), when the value of the reference information is relatively large and the influence of the printed image is large, the color density of the read image is close to the color density of the printed image, resulting in good image quality.
[0132] According to the information processing system described in (((4))), when the value of the reference information is relatively small and the influence of the printed image is small, the color density of the read image differs from the color density of the image read from the recording medium, resulting in good image quality.
[0133] According to the information processing system described in (((5))), it is possible to notify the user of the determination result of normality or mismatch.
[0134] According to the information processing system described in (((6))), by acquiring pixel position information of the background object, it becomes easier to inspect the read image.
[0135] According to the information processing system described in (((7))), when the influence of the printed image due to the black image forming material is large, the color density of the read image can be compared with the color density of the printed image.
[0136] According to the information processing system described in (((8))), when the influence of the image formed by the image forming material of each color on the printed image is small, it is possible to compare the color density of the read image with the color density of the image read from the recording medium.
[0137] According to the information processing system described in (((9))), when the influence of the printed image due to the image forming material of each color is large, the color density of the read image can be compared with the color density of the printed image.
[0138] According to the information processing system described in (((10))), when the influence of the printed image due to the image forming material of each color is small, color judgment can be performed based on the error between the color density of the read image and the color density of the image read from the recording medium.
[0139] According to the information processing system described in (((11))), in pixels where there is only a background object and no printed image, it is possible to compare the color density of the read image with the color density of the read image on the recording medium.
[0140] According to the information processing program described in (((12))), when inspecting the print result in which a print image is printed on colored paper or a recording medium with pre-printing, it is possible to prevent the inspection area from narrowing compared to when colored parts or parts with pre-printing are excluded from the inspection. [Explanation of symbols]
[0141] 10 Information Processing Systems 11 CPU (an example of a processor) 16 Display section 17 Communication Interface 18 Printing Department 19 Scanning section 20 Inspection Department 71 Blank Data 72 Printed matter 73 Expected image (example of blank data information) 74 Second scanned image (example of image read from recording medium) 81 Printed Images 82 Printed matter 84 First scanned image (example of scanned image) 94 Background target pixel position information (an example of background target pixel position information) 96 Reference Information 102 Expected image (example of printed image) 112 Second scanned image (example of recording medium read image) 114 First scanned image (example of scanned image) P1 paper (example of recording medium)
Claims
1. at least one processor; The processor: During a printing process in which an image forming material constituting a print image is placed on top of colored paper or a pre-printed recording medium, information on the estimated amount of the image forming material to be used is obtained for each pixel; When inspecting a read image obtained by reading a printout of the print image printed on the recording medium, if the value of the reference information is relatively large, a comparison is made between the color density of the read image and the color density of the print image for each pixel, When the value of the reference information is relatively small, the information processing system compares the color density of the read image and the information of the recording medium for each pixel with the color density of the read image of the recording medium read before the printing process is executed.
2. A relatively large value of the guideline information corresponds to a relatively large amount of the image forming material used, 2. The information processing system according to claim 1, wherein a relatively small value of the guideline information corresponds to a relatively small amount of the image forming material used.
3. The processor:
2. The information processing system of claim 1, wherein when the color density of the read image is compared with the color density of the printed image by the inspection, if the difference is less than the allowable color density error, it is judged to be normal, and if the difference is greater than the allowable color density error, it is judged to be mismatched.
4. The processor: The information processing system of claim 1, wherein when the color density of the read image is compared with the color density of the read image of the recording medium by the inspection, if the difference is greater than or equal to the error of the judged color density, it is judged to be normal, and if the difference is less than the error of the judged color density, it is judged to be mismatched.
5. The processor:
5. The information processing system according to claim 3, wherein the determination result of whether the information is normal or mismatched is output to a display unit.
6. The processor: The information processing system according to claim 1, wherein another read image obtained by reading a printed matter on which blank data has been printed on the recording medium is used as the recording medium read image, and information on the blank data and pixel position information of the background object are obtained from the recording medium read image.
7. The processor:
2. The information processing system according to claim 1, wherein when the gradation value for each pixel corresponding to a black print image as the image forming material is other than 0, the value of the reference information is determined to be relatively large.
8. The processor: The information processing system according to claim 7, wherein when the sum of the gradation values for each pixel corresponding to the printed image of each color other than clear as the image forming material is 0, the value of the reference information is determined to be relatively small.
9. The processor: An information processing system as described in claim 8, wherein when the sum of the gradation values for each pixel corresponding to the printed image of each color other than clear as the image forming material is equal to or greater than a predetermined value, processing is performed to determine that the value of the guideline information is relatively large.
10. The processor: An information processing system as described in claim 9, wherein when the sum of the gradation values for each pixel corresponding to the printed image of each color other than clear as the image forming material is smaller than a predetermined value, processing is performed to determine that the value of the guideline information is relatively small.
11. The processor:
7. The information processing system according to claim 6, wherein, based on pixel position information of the background object and pixel position information of the print image, in pixels where there is no print image and there is only the background object, the color density of the read image is compared with the color density of the read image of the recording medium during the inspection.
12. During a printing process in which an image forming material constituting a print image is printed on top of colored paper or a pre-printed recording medium, information on the estimated amount of the image forming material to be used is calculated for each pixel; When inspecting a read image obtained by reading a printout of the print image printed on the recording medium, if the value of the reference information is relatively large, a comparison is made between the color density of the read image and the color density of the print image for each pixel, An information processing program that causes a computer to execute a process of comparing, for each pixel, the color density of the read image and the information of the recording medium with the color density of the recording medium read image read before the printing process is executed, if the value of the reference information is relatively small.
Citation Information
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