A method, device, and storage device for compensating for damaged nozzles during printing

Abstract

The present invention discloses a method, device and storage device for compensating damaged nozzles in printing; the steps include: S1, determining the serial number of the damaged nozzle, S2, determining the image resolution and printing type, S3, calculating the coordinates of all inkjet pixels of the damaged nozzle in the original image according to the printing method, calculating and filling the compensation pixels to generate a new image; the present invention effectively detects and identifies the status of the nozzle by creating a specific test pattern and observing the printing results, and then records the position and type of the damaged nozzle, so as to timely discover and solve the nozzle problem, ensure the printing quality and effect, and understand the impact of the damaged nozzle on the image quality by analyzing the printed image resolution and printing type and identifying abnormal pixels. In terms of compensation, the position of all inkjet pixels of the damaged nozzle is calculated according to the printing method, and different compensation methods are adopted for different areas, effectively improving the quality and accuracy of the image after repair, thereby improving production efficiency and image quality.

Description

Technical Field

[0001] The present invention relates to the technical field of printers, and in particular to a method, equipment and storage device for compensating damaged nozzles during printing. Background Art

[0002] According to the printing principle of digital inkjet printers, the printer head has multiple nozzles with equal spacing in the vertical direction. The nozzles spray a specified amount of ink when the nozzle moves horizontally to form the color and shape of the picture; when a nozzle is damaged or blocked and cannot spray ink, it will form the following Figure 5 The brushed effect shown affects the image quality. When the nozzle hole cannot be repaired, the printing effect can be improved by processing the image. Summary of the Invention

[0003] The purpose of the present invention is to provide a method, device and storage device for compensating damaged nozzles during printing. The method of compensating printing quality through image processing can solve the brushing effect problem mentioned in the background technology and improve the printing effect.

[0004] The purpose of the present invention can be achieved through the following technical solutions:

[0005] The present application provides a method for compensating for damaged nozzles during printing, comprising the following steps:

[0006] S1. Determine the serial number of the damaged nozzle, identify the nozzle blockage or damage by printing a detection pattern, and record the location and type of the damaged nozzle;

[0007] S2. Analyze the printed image resolution and printing type to determine the printed pixels and the nozzles corresponding to each pixel;

[0008] The printing method refers to the way and sequence in which the print head moves in the XY direction to print each part of the image;

[0009] S3. Calculate the coordinates of all inkjet pixels of the damaged nozzle in the original image according to the printing method, calculate and fill the compensation pixels to generate a new image.

[0010] Further, according to step S1, a specific test pattern is created, which contains pixels of different colors, intensities and positions. The pixel points will help detect the status of the nozzle. Use a printing device to print the designed test pattern on paper, observe the printing results, check the printed pattern, and observe the pixel points corresponding to each nozzle in the image. When a nozzle is clogged or damaged, the corresponding pixel point displays an abnormality. Based on the abnormality, determine whether the status of the nozzle is clogged or damaged. A clogged nozzle causes color loss or weakening, while a damaged nozzle cannot spray ink at all or presents an abnormal color; record the position of the nozzle and mark its serial number.

[0011] Furthermore, the abnormal pixels in the printed image are identified, and the corresponding nozzle positions are analyzed by locating and marking the abnormal pixels. At the same time, the color changes and clarity information of the areas around the abnormal pixels are analyzed to determine whether there is a decrease in resolution or loss of details in the area where the abnormal pixels are located. Then, based on the distribution of the abnormal pixels and the working principle of the printing equipment, the movement mode and sequence of the nozzle in the XY direction are analyzed to determine the correspondence between the abnormal pixels and the actual nozzle positions, and confirm the specific nozzle position corresponding to each pixel.

[0012] Furthermore, the identification and location of abnormal pixels is to distinguish normal pixels from abnormal pixels through threshold segmentation technology, and then use image processing algorithms to extract the features of abnormal pixels, and then locate and mark them. The specific identification of abnormal pixels includes:

[0013] S211. Calculate the grayscale histogram of the entire image, and then determine a global threshold, using the average value as the threshold, expressed as:

[0014]

[0015] Where I(i,j) is the grayscale value of the image at coordinate (i,j), and N is the total pixel value in the image;

[0016] S212, applying threshold segmentation, for each pixel in the image, comparing it with the threshold T, and classifying the pixel according to the comparison result;

[0017] When I(i,j)>T, then O(i,j)=foreground; if I(i,j)≤T, then O(i,j)=background; where O(i,j) is the pixel point at coordinate (i,j) in the output image, indicating the classification of the pixel point;

[0018] S213. The threshold is determined using Otsu's method. It should be explained that Otsu's method is an adaptive threshold technology that determines the optimal threshold by minimizing the intra-class variance.

[0019]

[0020] Among them, B ω and B b are the number of pixels of foreground and background respectively, W is the total number of pixels, μ total is the average gray value of the entire image, and are the weighted average gray values of the foreground and background respectively;

[0021] S214 , segmenting the image with the determined threshold, extracting features of abnormal pixels, locating and marking the abnormal pixels.

[0022] More specifically, the nozzle position is determined based on the design of the test pattern and the nozzle layout, the correspondence between abnormal pixels and nozzle positions is established, the movement path of the nozzle in the XY direction is simulated, the effect of the printing sequence on the image quality is analyzed, the image coordinates are converted into the physical coordinate system of the printer, and the actual position of the nozzle is matched.

[0023] Specifically, the coordinate conversion converts the image coordinates (i, j) to the printer's physical coordinates (x, y), where x = i·Px + Ox, y = i·Py + Oy, Px and Py are the dimensions of each pixel in the physical coordinate system, and Ox and Oy are the offsets of the image in the printer's coordinate system.

[0024] According to the converted coordinates, the nozzle position corresponding to each abnormal pixel is determined, and the printing data of the nozzle is analyzed to determine which nozzle printed the abnormal pixel.

[0025] Furthermore, based on the printing method and feathering status, the position of the pixel points that need to be compensated is calculated. For the damaged nozzles in the feathering area, the ink discharge line of the nozzles of the complementary pass is found, and the data of the damaged nozzles is handed over to the nozzles of the complementary pass for ink discharge. For the damaged nozzles in the non-feathering area, a high-precision interpolation algorithm is used to recalculate and fill the pixels around the damaged nozzles.

[0026] Furthermore, the compensation algorithm is applied to calculate the pixel positions that need to be compensated. For the feathered area, it is expressed as:

[0027] C(x,y)=∑ i∈complementary_passes P i (x,y)

[0028] Among them, C(x, y) is the compensated pixel color, P i (x,y) is the printing contribution of the corresponding nozzle in the complementary pass;

[0029] For the non-feathered region, it is expressed as:

[0030] C(x,y)=Interpolate(N(x,y))

[0031] Where N(x,y) is the set of normal pixels around the damaged nozzle, and Interpolate is the interpolation function;

[0032] The calculated color values of the compensated pixels are then updated to the image data to generate a new image containing the compensated pixels.

[0033] A device for compensating damaged nozzles during printing includes a processor, a memory, and computer program instructions stored in the memory. When the computer program instructions are executed by the processor, the above-mentioned method steps for compensating damaged nozzles during printing are implemented.

[0034] A storage device stores computer program instructions, which, when executed by a processor, implement the above-mentioned method steps for compensating damaged nozzles during printing.

[0035] The beneficial effects of the present invention are:

[0036] By creating a specific test pattern, observing the printing results, and judging the nozzle status based on the pixel display, the location and type of damaged nozzles are recorded and marked. This effectively uses the printed test pattern to promptly detect and resolve nozzle problems, thereby ensuring print quality and results.

[0037] By analyzing the printed image resolution and printing type, using threshold segmentation technology to distinguish abnormal pixels, extract their features, locate and mark them. Further combining the information of the area around the abnormal pixels and the working principle of the printing device, the correspondence between the abnormal pixels and the actual nozzle position is determined. This fully understands the impact of damaged nozzles on image quality, provides an important reference for further processing and optimization, and helps to ensure printing quality and effect.

[0038] The coordinates of all inkjet pixels of the damaged nozzles in the original image are calculated based on the printing method, and different compensation methods are used for different areas, including finding the nozzle ink discharge line of the complementary pass in the feathered area, and using a high-precision interpolation algorithm to recalculate and fill the pixels around the damaged nozzles in the non-feathered area. This targeted repair method can improve the quality and accuracy of the image after repair, thereby improving the printing effect. The specific detection, positioning and repair of abnormal nozzles can effectively solve the problems caused by damaged or clogged nozzles in digital inkjet printers, thereby improving printing quality and effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] For better understanding and implementation, the technical solution of the present application is described in detail below with reference to the accompanying drawings.

[0040] Figure 1 A flowchart of a method for compensating for damaged nozzles during printing provided in Example 1 of the present application;

[0041] Figure 2 A flowchart of the steps for identifying abnormal pixels in a method for compensating for damaged nozzles during printing provided in Example 1 of the present application;

[0042] Figure 3A schematic diagram of setting ink discharge for printing an image on a printing device in a method for compensating for damaged nozzles during printing provided in Example 1 of the present application;

[0043] Figure 4 A schematic diagram of ink discharge conditions in a method for compensating for damaged nozzles during printing provided in Example 1 of the present application;

[0044] Figure 5 A schematic diagram of forming a drawing effect, which is the background technology provided in this application. DETAILED DESCRIPTION

[0045] To further illustrate the technical means and effectiveness of the present invention in achieving its intended purpose, exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present application. Rather, they are merely examples of methods and systems consistent with certain aspects of the present application, as detailed in the appended claims.

[0046] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. As used in this application and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0047] The following describes in detail the specific implementation methods, features and effects of the present invention in conjunction with the accompanying drawings and preferred embodiments.

[0048] Example 1

[0049] This embodiment provides a method, apparatus, and storage device for compensating for damaged nozzles during printing. The method of compensating for printing quality through image processing can solve the wire drawing effect problem mentioned in the background art and improve printing effects.

[0050] The present invention provides a method for compensating for damaged nozzles in printing, such as Figure 1 As shown, the following steps are included:

[0051] S1. Determine the serial number of the damaged nozzle, identify the nozzle blockage or damage by printing a detection pattern, and record the location and type of the damaged nozzle;

[0052] Specifically, create a specific test pattern that contains pixels of different colors, intensities, and positions. The pixels will help detect the status of the nozzles. Use a printing device to print the designed test pattern onto paper, observe the printing results, check the printed pattern, and observe the pixels corresponding to each nozzle in the image. If a nozzle is clogged or damaged, the corresponding pixel will display abnormally. Based on the abnormality, determine whether the nozzle is clogged or damaged. A clogged nozzle causes color loss or weakening, while a damaged nozzle cannot spray ink at all or presents abnormal colors. Record the position of the nozzle and mark its serial number.

[0053] Through this process, the printed detection pattern can be effectively used to detect and identify the status of the nozzle, so as to timely discover and solve the problems of the nozzle, and ensure the printing quality and effect.

[0054] S2. Analyze the printed image resolution and printing type to determine the printed pixels and the nozzles corresponding to each pixel;

[0055] The printing method refers to how and in what order the print head moves in the XY direction to print each part of the image, and whether feathering is turned on, etc.

[0056] like Figure 3 The figure below shows a schematic diagram of setting up ink delivery for a printing device to print an image. The printhead height is set to 24 nozzles, with a nozzle YDPI of 300. Arrow "1" in the figure indicates the pattern to be printed. The vertical resolution of the pattern is set to 600 YDPI, and the image height is set to 96. An 8-point feathering technique is used, with a gradient of 8 dots at the head and tail of the nozzle to smooth the edges. The pattern resolution is twice the pass resolution. The ink delivery of each pass is roughly as shown by arrow "2." A total of two passes are required to print the pattern. YDPI is the vertical dots per inch, and the XDPI of each pass is equal to the XDPI of the pattern.

[0057] By analyzing the image resolution and printing method, the corresponding nozzle orifices for each pixel are determined. Combined with the set parameters such as nozzle height, YDPI, and the feathering method, the movement and sequence of the nozzles can be precisely controlled during the printing process to ensure the clarity and smoothness of the pattern. By setting different resolutions and using feathering technology, print quality is effectively optimized, ensuring that each pixel is accurately mapped to the corresponding nozzle position, thereby improving the image's detail and overall effect.

[0058] Furthermore, the abnormal pixels in the printed image, i.e., the pixels corresponding to the damaged nozzle holes, are identified. By locating and marking the abnormal pixels, the corresponding nozzle holes are analyzed.

[0059] Among them, the identification and location of abnormal pixels is to distinguish normal pixels from abnormal pixels through threshold segmentation technology, and then use image processing algorithms to extract the features of abnormal pixels, and then locate and mark them. The specific identification of abnormal pixels includes:

[0060] S211. Calculate the grayscale histogram of the entire image, and then determine a global threshold, using the average value as the threshold, expressed as:

[0061]

[0062] Where I(i,j) is the grayscale value of the image at coordinate (i,j), and N is the total pixel value in the image;

[0063] S212, applying threshold segmentation, for each pixel in the image, comparing it with the threshold T, and classifying the pixel according to the comparison result;

[0064] When I(i,j)>T, then O(i,j)=foreground; if I(i,j)≤T, then O(i,j)=background; where O(i,j) is the pixel point at coordinate (i,j) in the output image, indicating the classification of the pixel point;

[0065] S213. The threshold is determined using Otsu's method. It should be explained that Otsu's method is an adaptive threshold technology that determines the optimal threshold by minimizing the intra-class variance.

[0066]

[0067] Among them, B ω and B b are the number of pixels of foreground and background respectively, W is the total number of pixels, μ total is the average gray value of the entire image, and are the weighted average grayscale values of foreground and background, respectively.

[0068] S214 , segmenting the image with the determined threshold, extracting features of abnormal pixels, locating and marking the abnormal pixels.

[0069] At the same time, the color change, clarity and other information of the area around the abnormal pixel are analyzed to determine whether the area where the abnormal pixel is located has a decrease in resolution or loss of details;

[0070] Based on the distribution of abnormal pixels and the working principle of the printing device, further analyze the movement mode and sequence of the print head in the XY direction, and whether feathering and other technologies are enabled;

[0071] Determine the correspondence between abnormal pixels and actual nozzle positions, taking into account factors such as the printer's working principle and nozzle arrangement, and confirm the specific nozzle position corresponding to each pixel.

[0072] By identifying abnormal pixels in the printed image and using threshold segmentation technology and Otsu's method to determine the optimal threshold, the abnormal pixels are successfully distinguished and located. Further analysis of the surrounding area and the operating principle of the printhead ensures the accurate correspondence between the abnormal pixels and the actual nozzle positions. This process helps to fully understand the impact of damaged nozzles on image quality, providing important reference for subsequent processing, ensuring print quality and results, while also improving production efficiency.

[0073] More specifically, based on the design of the printhead layout and test pattern, the correspondence between abnormal pixels and nozzle positions is established, the movement path of the printhead in the XY direction is simulated, the impact of the printing sequence on the image quality is analyzed, and the image coordinates are converted to the physical coordinate system of the printer to match the actual position of the nozzle.

[0074] Specifically, the coordinate conversion converts the image coordinates (i, j) to the printer's physical coordinates (x, y), where x = i·Px + Ox, y = i·Py + Oy, Px and Py are the dimensions of each pixel in the physical coordinate system, and Ox and Oy are the offsets of the image in the printer's coordinate system.

[0075] According to the converted coordinates, the nozzle position corresponding to each abnormal pixel is determined, and the printing data of the nozzle is analyzed to determine which nozzle printed the abnormal pixel.

[0076] Through the above analysis, we can fully understand the impact of damaged nozzles on printed image resolution and printing type, and provide important reference for further processing and optimization, which will help to ensure printing quality and effect and improve production efficiency.

[0077] S3, calculating the coordinates of all inkjet pixels of the damaged nozzle in the original image according to the printing method, and calculating and filling the compensation pixels to generate a new image;

[0078] Specifically, the position of the pixel points that need to be compensated is calculated based on the printing method and feathering status. For the damaged nozzles in the feathering area, the ink discharge line of the nozzles of the complementary pass is found, and the data of the damaged nozzles is handed over to the nozzles of the complementary pass for ink discharge. For the damaged nozzles in the non-feathering area, a high-precision interpolation algorithm is used to recalculate and fill the pixels around the damaged nozzles to maintain the clarity and details of the image to the greatest extent possible, avoiding the impact of damage on the overall image quality.

[0079] Taking into account the characteristics of different areas, the problems caused by damaged nozzles are solved in a targeted manner, which can effectively improve the quality and accuracy of image restoration.

[0080] Furthermore, the compensation algorithm is applied to calculate the pixel positions that need to be compensated. For the feathered area, it is expressed as:

[0081] C(x,y)-∑ i∈complementary_passes P i (x,y)

[0082] Among them, C(x, y) is the compensated pixel color, P i (x, y) is the printing contribution of the corresponding nozzle in the complementary pass. It should be explained that i∈complementary_passes indicates that index i belongs to a set of complementary passes. The "complementary" here means that during the printing process, different passes can cover the same image area, but different nozzles are responsible for printing, thereby achieving higher precision printing effects.

[0083] In inkjet printing, especially when using feathering technology, a pixel may be printed in multiple passes, but by different nozzles. If one nozzle is damaged, another nozzle can take over the printing task in its complementary pass to maintain image quality.

[0084] For the non-feathered region, it is expressed as:

[0085] C(x,y)=Interpolate(N(x,y))

[0086] Where N(x,y) is the set of normal pixels around the damaged nozzle, and Interpolate is the interpolation function;

[0087] The calculated color values of the compensated pixels are then updated to the image data to generate a new image containing the compensated pixels.

[0088] like Figure 4 As shown, it represents the ink discharge status of the print head in a certain pass when the feathering is turned on. The black color represents the pixel point where ink is discharged.

[0089] Arrow "1" indicates the ink outlet row of nozzle No. 7 from the top down, arrow "2" indicates the ink outlet row of nozzle No. 9, and arrow "3" indicates the ink outlet row of nozzle No. 23.

[0090] When nozzle No. 23 is damaged, it belongs to the feathering area. According to the printing method, the ink discharge line of nozzle No. 23 in the first pass and the ink discharge line of nozzle No. 7 in the third pass are overlapping and complementary. The compensation method is to transfer the data of nozzle No. 23 to nozzle No. 7 in the complementary pass to discharge ink. Since this compensation method is performed within the same feathering area, it has less impact on print quality and can better maintain image continuity and smoothness.

[0091] This embodiment effectively detects and identifies the status of the nozzle by creating a specific test pattern and observing the printing results, and then records the position and type of the damaged nozzle, so as to timely discover and solve the nozzle problem and ensure the printing quality and effect. By analyzing the printed image resolution and printing type and identifying abnormal pixels, it can fully understand the impact of damaged nozzles on image quality, provide an important reference for further processing and optimization, and help to ensure printing quality and effect. In terms of compensation, the position of all inkjet pixels of the damaged nozzle is calculated according to the printing method, and different compensation methods are used for different areas, which effectively improves the quality and accuracy of the image after repair, realizes effective compensation for damaged nozzles, and ultimately improves production efficiency and image quality.

[0092] A device for compensating damaged nozzles during printing includes a processor, a memory, and computer program instructions stored in the memory. When the computer program instructions are executed by the processor, the above-mentioned method steps for compensating damaged nozzles during printing are implemented.

[0093] A storage device stores computer program instructions, which, when executed by a processor, implement the above-mentioned method steps for compensating damaged nozzles during printing.

[0094] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as above in terms of a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can, without departing from the scope of the technical solution of the present invention, make some changes or modifications to equivalent embodiments using the technical contents disclosed above. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A method for compensating for damaged nozzles during printing, characterized in that: The steps include: S1. Determine the serial number of the damaged nozzle, identify the nozzle blockage or damage by printing a detection pattern, and record the location and type of the damaged nozzle; S2. Analyze the printed image resolution and printing type to determine the printed pixels and the nozzles corresponding to each pixel; The printing method refers to the way and sequence in which the print head moves in the XY direction to print each part of the image; The step S2 further includes identifying abnormal pixels in the printed image, locating and marking the abnormal pixels, analyzing the corresponding nozzle positions, and analyzing the color changes and clarity information of the area around the abnormal pixels to determine whether the area where the abnormal pixels are located has a decrease in resolution or loss of details. Then, based on the distribution of the abnormal pixels and the working principle of the printing device, analyzing the movement mode and sequence of the nozzle in the XY direction, determining the correspondence between the abnormal pixels and the actual nozzle positions, and confirming the specific nozzle position corresponding to each pixel; The identification and location of abnormal pixels is to distinguish normal pixels from abnormal pixels through threshold segmentation technology, and then use image processing algorithms to extract the features of abnormal pixels, and then locate and mark them. The specific identification of abnormal pixels includes: S211. Calculate the grayscale histogram of the entire image, and then determine a global threshold, using the average value as the threshold, expressed as: ； in, is the grayscale value of the image at coordinate (i, j), and N is the total pixel value in the image; S212, applying threshold segmentation, for each pixel in the image, comparing it with the threshold T, and classifying the pixel according to the comparison result; When I(i,j)>T, then O(i,j)=foreground; when I(i,j)≤T, then O(i,j)=background; where O(i,j) is the pixel at coordinate (i,j) of the output image, indicating the classification of the pixel; S213, use Otsu's method to determine the optimal threshold. It should be explained that Otsu's method is an adaptive threshold technology that determines the optimal threshold by maximizing the intra-class variance. ； in, and are the number of pixels of foreground and background respectively, W is the total number of pixels, is the average gray value of the entire image, and are the weighted average grayscale values of the foreground and background respectively; S214, segmenting the image based on the optimal threshold, extracting features of abnormal pixels, and locating and marking abnormal pixels; the threshold determination is specifically based on the specific operation of applying Otsu's method in step S213 to find the optimal threshold; According to the design of the test pattern and the layout of the nozzle, the corresponding relationship between abnormal pixels and nozzle positions is established, the movement path of the nozzle in the XY direction is simulated, the influence of the printing sequence on the image quality is analyzed, and the image coordinates are converted into the physical coordinate system of the printer to match the actual position of the nozzle. Specifically, the coordinate conversion converts the image coordinates (i, j) to the printer's physical coordinates (x, y), where x = i⋅Px+Ox, y = j⋅Py+Oy, Px and Py are the sizes of each pixel in the physical coordinate system, and Ox and Oy are the offsets of the image in the printer coordinate system. S3, calculating the coordinates of all inkjet pixels of the damaged nozzle in the original image according to the printing method, and calculating and filling the compensation pixels to generate a new image; Specifically, it includes: determining the nozzle position corresponding to each abnormal pixel point according to the converted coordinates, analyzing the printing data of the nozzle point, and determining which nozzle point printed the abnormal pixel point; Based on the printing method and feathering status, the pixel locations that need to be compensated are calculated. For damaged nozzles in the feathering area, the nozzle discharge line of the complementary pass is found and the data of the damaged nozzle is passed to the complementary pass nozzle for ink discharge. For damaged nozzles in the non-feathering area, a high-precision interpolation algorithm is used to recalculate and fill the pixels around the damaged nozzle. Apply the compensation algorithm to calculate the pixel position that needs to be compensated. For the feathered area, it is expressed as: ； Among them, C(x, y) is the compensated pixel color, is the printing contribution of the corresponding nozzle in the complementary pass, A set of print paths that cover the same image area but are printed by different nozzles during the printing process. For the non-feathered region, it is expressed as: ； in, is the set of normal pixels around the damaged nozzle, and Interpolate is the interpolation function; The calculated color values of the compensated pixels are then updated to the image data to generate a new image containing the compensated pixels.

2. The method for compensating damaged nozzles during printing according to claim 1, characterized in that: According to step S1, the nozzle blockage or damage is identified by printing a detection pattern, specifically including: creating a specific test pattern, which contains pixel points of different colors, intensities and positions, the pixel points will help detect the status of the nozzle, using a printing device to print the designed test pattern on paper, observing the printing results, checking the printed pattern, observing the pixel points corresponding to each nozzle in the image, when a nozzle is blocked or damaged, the corresponding pixel points display abnormalities, and judging whether the nozzle is blocked or damaged based on the abnormality. The blocked nozzle causes color loss or weakening, while the damaged nozzle cannot spray ink at all or presents abnormal colors; recording the position of the nozzle and marking its serial number.

3. A device for compensating damaged nozzles during printing, characterized in that: The system comprises a processor, a memory and computer program instructions stored in the memory, and when the computer program instructions are executed by the processor, a method for compensating damaged nozzles in printing as described in any one of claims 1 to 2 is implemented.

4. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method for compensating for damaged nozzles in printing as described in any one of claims 1 to 2 is implemented.

Images