A packaging printing digital proofing method and device based on linear calibration

Abstract

The invention relates to the field of image processing, and discloses a packaging printing digital proofing method and device based on linear calibration, comprising: configuring an ICC profile of a target digital printer, calculating a color space matching coefficient of the ICC profile and a design software corresponding to a packaging sample to be printed, and defining color parameters of a printing sample of the target digital printer; constructing a linearization test image of the target digital printer, determining a nonlinear region of the target digital printer, constructing a linearization curve of the target digital printer, and establishing a linear calibration model of the target digital printer; printing the packaging sample to be printed by using the target digital printer to obtain a printed sample; calculating the color loss of the printed sample, analyzing the color optimization parameters of the target digital printer by using a trained color optimization model, and outputting a target printed sample of the packaging sample to be printed by using the target digital printer.

Description

Technical Field

[0001] The invention relates to the field of image processing, and in particular to a packaging printing digital proofing method and device based on linear calibration. Background Art

[0002] Digital proofing for packaging printing refers to printing design samples on actual materials before mass production through digital printing technology. This can be used to verify the design effect, color accuracy and layout. Digital proofing for packaging printing is an important part of the modern printing industry. It helps to improve production efficiency, reduce costs and ensure the quality of the final product.

[0003] At present, traditional packaging printing digital proofing usually adopts a relatively basic digital printing method, relying on the operator's experience for color adjustment and media selection, and often lacks systematic color management and precise linear calibration process. This method cannot provide accurate color reproduction and is difficult to adapt to the printing needs of different media, thereby reducing the color consistency and efficiency of digital proofing. Summary of the invention

[0004] The present invention provides a packaging printing digital proofing method and device based on linear calibration, the main purpose of which is to improve the color consistency and efficiency of digital proofing of packaging printing samples.

[0005] To achieve the above object, the present invention provides a packaging printing digital proofing method based on linear calibration, comprising:

[0006] Identify the printing requirements of the packaging sample to be printed, determine the multi-media digital printer of the packaging sample to be printed according to the printing requirements, and analyze the color reproduction and medium adaptability of the multi-media digital printer;

[0007] Based on the color reproduction and medium adaptability, the multi-media digital printer is optimized to obtain a target digital printer, an ICC profile of the target digital printer is configured, and a color space matching coefficient of the ICC profile and a design software corresponding to a packaging sample to be printed is calculated, and according to the color space matching coefficient, a color parameter of a printed sample of the target digital printer is defined;

[0008] Constructing a linearization test image of the target digital printer, and determining a nonlinear region of the target digital printer based on the linearization test image, constructing a linearization curve of the target digital printer according to the nonlinear region, and establishing a linear calibration model of the target digital printer through the linearization curve;

[0009] Constructing an AR3D model of the packaging sample to be printed, and using the AR3D model to realize online sample preview of the packaging sample to be printed corresponding to the user, and when the online sample preview meets the sample preview requirement of the user, printing the packaging sample to be printed using the target digital printer according to the linear calibration model and the color parameters of the printed sample to obtain a printed sample;

[0010] Identify the key color blocks of the printed sample, calculate the color loss of the printed sample based on the key color blocks, analyze the color optimization parameters of the target digital printer using the trained color optimization model based on the color loss, and use the target digital printer to output the target printed sample of the packaging sample to be printed using the color optimization parameters.

[0011] Optionally, analyzing the color reproduction and medium adaptability of the multi-media digital printer includes:

[0012] Establishing standard colors of the multimedia digital printer;

[0013] outputting a test color sample of the multi-media digital printer;

[0014] constructing a test color sample image of the test color sample;

[0015] Based on the test color sample image, marking the color value of the test color sample;

[0016] Calculating the brightness color difference, red-green color difference and yellow-blue color difference of the test color sample according to the color value and the standard color;

[0017] According to the brightness color difference, red-green color difference and yellow-blue color difference of the test color sample, the color reproduction performance of the multi-media digital printer is calculated using the following formula:

[0018] ;

[0019] in, Indicates the color reproduction of a multimedia digital printer. Indicates the brightness and color difference of the test color sample. represents the red-green color difference of the test color sample, Indicates the yellow-blue difference of the test color sample;

[0020] determining a media type of the multi-media digital printer;

[0021] Analyzing the media characteristics of the media type, and defining media printing parameters of the multi-media digital printer according to the media characteristics;

[0022] According to the media printing parameters, obtaining a media test sample of the multi-media digital printer;

[0023] analyzing the media sample color difference, media sample clarity, and media adhesion of the media test sample;

[0024] The media adaptability of the multi-media digital printer is analyzed based on the color difference of the media samples, the clarity of the media samples and the media adhesion.

[0025] Optionally, analyzing the medium sample color difference, medium sample clarity, and medium adhesion of the medium test sample includes:

[0026] outputting a media test sample image of the media test sample;

[0027] Analyzing the medium sample color of the medium test sample image, and analyzing the medium sample color difference of the medium test sample according to the medium sample color and the standard medium color;

[0028] identifying a printed body of the media test sample and calculating a body grayscale value of the printed body;

[0029] According to the grayscale value of the main body, the pixel gradient amplitude of the printed main body is calculated using the following formula:

[0030] ;

[0031] in, represents the pixel gradient amplitude of the printed subject, Indicates the pixel points corresponding to the printed subject The main gray value of represents the horizontal convolution kernel, represents the vertical convolution kernel, Indicates the pixel points corresponding to the printed subject The horizontal axis of Indicates the pixel points corresponding to the printed subject The vertical coordinate of

[0032] Analyzing the medium sample clarity of the medium test sample by means of the pixel gradient amplitude;

[0033] Constructing a light source environment for the medium test sample;

[0034] Based on the light source environment, the media adhesion of the media test sample is determined.

[0035] Optionally, the evaluating the medium adhesion of the medium test sample based on the light source environment includes:

[0036] Constructing a test light source for the medium test sample through the light source environment;

[0037] Calculating a light source uniformity coefficient of the test light source, and optimizing the test light source based on the light source uniformity coefficient to obtain a target test light source;

[0038] Configuring light source parameters of the target test light source;

[0039] defining a reflection angle of the target test light source;

[0040] According to the light source parameters and the reflection angle, identifying the incident light source intensity and the reflected light source intensity of the target test light source;

[0041] Based on the incident light source intensity and the reflected light source intensity, the light source diffusion coefficient of the medium test sample is calculated using the following formula:

[0042] ;

[0043] in, represents the diffusion coefficient of the light source of the medium test sample, Indicates the medium test sample No. The intensity of the reflected light source at the reflection angle, Indicates the number of the medium test sample corresponding to the target test light source. Reflection angle, Indicates the incident light intensity of the vertical medium test sample, Indicates the reflected light intensity of the vertical medium test sample. Indicates the number of reflection angles of the medium test sample corresponding to the target test light source;

[0044] Analyzing the medium-ink bonding degree of the medium test sample by using the light source diffusion coefficient;

[0045] The medium adhesion of the medium test sample is determined according to the medium-ink bonding degree.

[0046] Optionally, configuring the ICC profile of the target digital printer includes:

[0047] Identifying color space information of the target digital printer, wherein the color space information includes color gamut, color depth, and color model;

[0048] Based on the color space information, determining a standard color block of the target digital printer;

[0049] Using the target digital printer to construct a color block image of a standard color block;

[0050] Recording color block measurement data of the color block image, wherein the color block measurement data includes chromaticity coordinates and density values;

[0051] Based on the color space information and the color patch measurement data, construct an initial ICC profile of the target digital printer;

[0052] Analyzing the color performance of the initial ICC profile on a target digital printer;

[0053] According to the color representation, the file parameters of the initial ICC profile are adjusted to obtain the ICC profile of the target digital printer, wherein the file parameters include parameters such as space description, gamma curve, black and white points, etc.

[0054] Optionally, the calculating of the color space matching coefficient of the ICC profile and the design software corresponding to the packaging sample to be printed includes:

[0055] Obtaining software color space information of design software corresponding to the packaging sample to be printed;

[0056] Converting the software color space information of the design software into the color space of the target digital printer corresponding to the ICC configuration file to obtain the software-file color space;

[0057] Convert the color space information of the target digital printer into the color space of the design software to obtain the file-software color space;

[0058] Calculating the software-file color difference and the file-software color difference of the software-file color space and the file-software color space respectively;

[0059] According to the piece-file color difference and the file-software color difference, the color space matching coefficient of the ICC profile and the design software corresponding to the packaging sample to be printed is calculated.

[0060] Optionally, determining the nonlinear region of the target digital printer based on the linearization test image includes:

[0061] identifying the color response of the target digital printer based on the linearization test image;

[0062] constructing a color response curve for the color response;

[0063] Calculating the slope of the color response curve;

[0064] Analyzing the nonlinear coefficient of the slope of the curve;

[0065] According to the non-linear coefficient, a non-linear region of the target digital printer is marked.

[0066] Optionally, the step of constructing the AR3D model of the packaging sample to be printed includes:

[0067] Constructing a three-dimensional display of the packaging sample to be printed;

[0068] Based on the three-dimensional display image, extracting three-dimensional data of the packaging sample to be printed;

[0069] Constructing a three-dimensional reconstructed surface of the packaging sample to be printed according to the three-dimensional data, and establishing a 3D model of the packaging sample to be printed through the three-dimensional reconstructed surface;

[0070] Constructing an AR interactive scene of the 3D model;

[0071] Identify interactive elements of the AR interactive scene, and construct interactive functions of the AR interactive scene based on the interactive elements, wherein the interactive functions include touch screen interaction, gesture interaction, and voice interaction;

[0072] The AR interactive scene and interactive function are integrated into the 3D model to obtain the AR3D model of the packaging sample to be printed.

[0073] Optionally, analyzing the color optimization parameters of the target digital printer using a trained color optimization model based on the color loss includes:

[0074] Constructing an optimization target of the color optimization model, and determining an optimization function of the color optimization model according to the optimization target;

[0075] Calculating the gradient of the color loss relative to the current parameters of the corresponding model of the color optimization model;

[0076] Based on the gradient, the color optimization parameters of the target digital printer are calculated using the optimization function of the color optimization model; wherein the optimization function:

[0077] ;

[0078] in, represents the color optimization parameters of the target digital printer, represents the current parameters of the model of the target digital printer, represents the gradient, represents the learning rate of the color optimization model, Indicates the target color of the target digital printer corresponding to the printed sample. represents the derivative, Indicates the color of the printed sample of the color optimization model under the current parameters of the model. Represents a color optimization model.

[0079] To achieve the above object, the present invention also provides a packaging printing digital proofing device based on linear calibration, comprising:

[0080] A digital printer determination module is used to identify the printing requirements of the packaging sample to be printed, determine the multi-media digital printer of the packaging sample to be printed according to the printing requirements, and analyze the color reproduction and medium adaptability of the multi-media digital printer;

[0081] A color parameter configuration module, for optimizing the multi-media digital printer based on the color reproducibility and medium adaptability, obtaining a target digital printer, configuring an ICC profile of the target digital printer, and calculating a color space matching coefficient between the ICC profile and the design software corresponding to the packaging sample to be printed, and defining a printing sample color parameter of the target digital printer according to the color space matching coefficient;

[0082] A linear calibration model building module, used to build a linearization test image of the target digital printer, and based on the linearization test image, determine the nonlinear region of the target digital printer, build a linearization curve of the target digital printer according to the nonlinear region, and establish a linear calibration model of the target digital printer through the linearization curve;

[0083] An AR3D model building module is used to build an AR3D model of the packaging sample to be printed, and use the AR3D model to realize online sample preview of the corresponding user of the packaging sample to be printed. When the online sample preview meets the sample preview requirements of the user, the packaging sample to be printed is printed by the target digital printer according to the linear calibration model and the color parameters of the printed sample to obtain a printed sample;

[0084] The target printing sample output module is used to identify the key color blocks of the printing sample, calculate the color loss of the printing sample according to the key color blocks, analyze the color optimization parameters of the target digital printer based on the color loss using the trained color optimization model, and output the target printing sample of the packaging sample to be printed using the target digital printer through the color optimization parameters.

[0085] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0086] A memory storing at least one instruction;

[0087] The processor executes the instructions stored in the memory to implement the above-mentioned packaging printing digital proofing method based on linear calibration.

[0088] In order to solve the above problem, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned linear calibration-based digital proofing method for packaging printing.

[0089] The present invention can ensure that the multi-media digital printer of the packaging sample to be printed can obtain high-quality printing effects on different media, while improving production efficiency and customer experience; further, the present invention optimizes the multi-media digital printer based on the color reproduction and medium adaptability, and obtains a target digital printer that can improve the consistency of proofing and printing, improve production efficiency and customer satisfaction, and optionally, the present invention configures the ICC profile of the target digital printer to accurately reflect the color characteristics of the target digital printer, thereby achieving more accurate color conversion and matching in the color management process, providing a basis for subsequent printing color optimization, and further, the present invention calculates the color space matching coefficient of the ICC profile and the design software corresponding to the packaging sample to be printed to ensure accurate color conversion and matching between different devices. By correctly configuring the ICC profile, color deviation can be minimized and the accuracy of color reproduction can be improved. Based on the linearization test image, the present invention determines the nonlinear area of ​​the target digital printer to reduce or eliminate the color deviation of these areas, thereby further achieving more accurate color management and printing quality. Next, the present invention constructs the linearization curve of the target digital printer according to the nonlinear area. Through the linearization curve, the linear calibration model of the target digital printer is established, which can be used to correct the nonlinear output of the printer and improve the printing quality of the target digital printer. The present invention uses the AR3D model to realize the online sample preview of the corresponding user of the packaging sample to be printed, which can provide the user with the sample usage scenario, improve the user experience, and increase the finalization efficiency. Finally, based on the color loss, the present invention uses the trained color optimization model to analyze the color optimization parameters of the target digital printer, which can reduce the color loss through the model to obtain the best printing parameters and improve the effect of digital proofing of packaging printing. Therefore, the present invention can improve the color consistency and efficiency of digital proofing of packaging printing samples. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] Figure 1 A schematic diagram of a process flow of a packaging printing digital proofing method based on linear calibration provided by an embodiment of the present invention;

[0091] Figure 2 A functional module diagram of a packaging printing digital proofing device based on linear calibration provided by an embodiment of the present invention;

[0092] Figure 3A schematic structural diagram of an electronic device for implementing the packaging printing digital proofing method based on linear calibration provided by an embodiment of the present invention.

[0093] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0094] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0095] The embodiment of the present application provides a digital proofing method for packaging printing based on linear calibration. The execution subject of the digital proofing method for packaging printing based on linear calibration includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the digital proofing method for packaging printing based on linear calibration can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0096] Reference Figure 1 FIG. 1 is a flow chart of a packaging printing digital proofing method based on linear calibration provided by an embodiment of the present invention. In this embodiment, the packaging printing digital proofing method based on linear calibration includes:

[0097] S1. Identify the printing requirements of the packaging sample to be printed, determine the multi-media digital printer for the packaging sample to be printed according to the printing requirements, and analyze the color reproduction and medium adaptability of the multi-media digital printer.

[0098] It should be explained that the printing requirements refer to the specific physical and technical requirements of the packaging samples to be printed, which may include but are not limited to the size, shape, material type, color standard, resolution, durability, safety standards, etc. of the samples; the printing design refers to the appearance design elements of the samples, including graphics, text, color matching, layout and overall visual style.

[0099] The present invention can ensure that the sample obtains high-quality printing effects on different media by determining the multi-media digital printer of the packaging sample to be printed, while improving production efficiency and customer experience. Wherein, the multi-media digital printer refers to a digital printing device that can print on different types of media (such as paper, plastic, metal foil, etc.). In detail, the multi-media digital printer of the packaging sample to be printed according to the printing requirements includes: first, according to the printing requirements, determining the specification parameters such as the media compatibility, printing resolution, printing technology and speed of the digital printer; according to the specification parameters such as the media compatibility, printing resolution, printing technology and speed, determining the initial multi-media digital printer that meets the hardware requirements, and analyzing the software compatibility and overall cost of the initial multi-media digital printer; through the software compatibility and overall cost, determining the multi-media digital printer of the packaging sample to be printed in the initial multi-media digital printer. Wherein, the media compatibility refers to the degree to which the digital printer can adapt to and print different types and characteristics of media, and the software compatibility refers to the degree to which the digital printer can seamlessly cooperate with the software system used.

[0100] Analyzing the color reproduction and media adaptability of the multi-media digital printer can comprehensively evaluate the color reproduction and media adaptability of the multi-media digital printer, ensuring that its performance in packaging printing digital proofing meets high quality standards, thereby providing a basis for subsequent printing quality.

[0101] In detail, the analysis of the color reproduction and medium adaptability of the multi-media digital printer includes:

[0102] Establishing standard colors of the multimedia digital printer;

[0103] outputting a test color sample of the multi-media digital printer;

[0104] constructing a test color sample image of the test color sample;

[0105] Based on the test color sample image, marking the color value of the test color sample;

[0106] Calculating the brightness color difference, red-green color difference and yellow-blue color difference of the test color sample according to the color value and the standard color;

[0107] According to the brightness color difference, red-green color difference and yellow-blue color difference of the test color sample, the color reproduction performance of the multi-media digital printer is calculated using the following formula:

[0108] ;

[0109] in, Indicates the color reproduction of a multimedia digital printer. Indicates the brightness and color difference of the test color sample. represents the red-green color difference of the test color sample, Indicates the yellow-blue difference of the test color sample;

[0110] determining a media type of the multi-media digital printer;

[0111] Analyzing the media characteristics of the media type, and defining media printing parameters of the multi-media digital printer according to the media characteristics;

[0112] According to the media printing parameters, obtaining a media test sample of the multi-media digital printer;

[0113] analyzing the media sample color difference, media sample clarity, and media adhesion of the media test sample;

[0114] The media adaptability of the multi-media digital printer is analyzed based on the color difference of the media samples, the clarity of the media samples and the media adhesion.

[0115] The standard color sample refers to a sample with a known color value, which is used to compare with the test color sample to evaluate color reproduction. The test color sample refers to a color sample output by a multi-media digital printer. The color value refers to the color value of a specific point on the test color sample. The brightness color difference refers to the difference in brightness between the test color sample and the standard color sample. The red-green difference refers to the difference in red-green intensity between the test color sample and the standard color sample. The yellow-blue difference refers to the difference in yellow-blue intensity between the test color sample and the standard color sample. The color reproduction refers to a comprehensive evaluation of the brightness, red-green and yellow-blue differences between the test color sample and the standard color sample. The medium type refers to the type of printing medium used for the sample to be printed, such as paper, plastic, metal foil, etc. The media printing parameters refer to the printer settings adjusted according to the media characteristics, such as ink type, printing speed, temperature, etc. The media test sample refers to the sample printed on a specific medium, the media adhesion refers to the degree of adhesion of ink on the surface of the medium, the media sample color difference refers to the color quality of the media test sample, the media sample clarity refers to the clarity of the image and text edges of the media test sample, and the media adaptability refers to the printing performance of a multi-media digital printer on different media, including color, clarity and adhesion.

[0116] Further, the analyzing the medium sample color difference, medium sample clarity and medium adhesion of the medium test sample includes:

[0117] outputting a media test sample image of the media test sample;

[0118] Analyzing the medium sample color of the medium test sample image, and analyzing the medium sample color difference of the medium test sample according to the medium sample color and the standard medium color;

[0119] identifying a printed body of the media test sample and calculating a body grayscale value of the printed body;

[0120] According to the grayscale value of the main body, the pixel gradient amplitude of the printed main body is calculated using the following formula:

[0121] ;

[0122] in, represents the pixel gradient amplitude of the printed subject, Indicates the pixel points corresponding to the printed subject The main gray value of represents the horizontal convolution kernel, represents the vertical convolution kernel, Indicates the pixel points corresponding to the printed subject The horizontal axis of Indicates the pixel points corresponding to the printed subject The vertical coordinate of

[0123] Analyzing the medium sample clarity of the medium test sample by means of the pixel gradient amplitude;

[0124] Constructing a light source environment for the medium test sample;

[0125] Based on the light source environment, the media adhesion of the media test sample is determined.

[0126] Among them, the medium sample color refers to the color presented on the medium test sample, including red, green, blue, yellow, etc., the standard medium color refers to the color created through a precise color management process under specific conditions, representing the ideal color performance of different media, the main grayscale value refers to the grayscale value of the image or pattern presented on the medium test sample, the pixel gradient amplitude refers to the degree of color change between each pixel point and the adjacent pixel points on the medium test sample, the horizontal convolution kernel refers to the kernel function used when performing a horizontal convolution operation on the medium test sample, the vertical convolution kernel refers to the kernel function used when performing a vertical convolution operation on the medium test sample, and the light source environment refers to the environmental factors considered when evaluating the medium adhesion of the medium test sample, including lighting conditions, temperature, humidity, etc.

[0127] Furthermore, the evaluating the medium adhesion of the medium test sample based on the light source environment includes:

[0128] Constructing a test light source for the medium test sample through the light source environment;

[0129] Calculating a light source uniformity coefficient of the test light source, and optimizing the test light source based on the light source uniformity coefficient to obtain a target test light source;

[0130] Configuring light source parameters of the target test light source;

[0131] defining a reflection angle of the target test light source;

[0132] According to the light source parameters and the reflection angle, identifying the incident light source intensity and the reflected light source intensity of the target test light source;

[0133] Based on the incident light source intensity and the reflected light source intensity, the light source diffusion coefficient of the medium test sample is calculated using the following formula:

[0134] ;

[0135] in, represents the diffusion coefficient of the light source of the medium test sample, Indicates the medium test sample No. The intensity of the reflected light source at the reflection angle, Indicates the number of the medium test sample corresponding to the target test light source. Reflection angle, Indicates the incident light intensity of the vertical medium test sample, Indicates the reflected light intensity of the vertical medium test sample. Indicates the number of reflection angles of the medium test sample corresponding to the target test light source;

[0136] Analyzing the medium-ink bonding degree of the medium test sample by using the light source diffusion coefficient;

[0137] The medium adhesion of the medium test sample is determined according to the medium-ink bonding degree.

[0138] Among them, the test light source refers to the light source used to irradiate the medium test sample, which can be natural light, artificial light source (such as LED light, fluorescent light, etc., the light source uniformity coefficient refers to the description of the uniformity of the intensity distribution of the light source when the test light source irradiates the medium test sample, the target test light source refers to the light source that adjusts the light source parameters (such as brightness, color temperature, angle, etc.) on the basis of the optimized light source uniformity coefficient to achieve the best test effect, the light source parameters include the brightness, color temperature, irradiation angle, irradiation distance, etc. of the light source, the incident light source intensity refers to the light intensity irradiated by the test light source on the medium test sample, the reflected light source intensity refers to the light intensity reflected by the medium test sample into the eyes of the observer, the light source diffusion coefficient refers to the description of the characteristics of the medium test sample reflecting and absorbing light under a specific light source environment, and the medium ink bonding degree refers to the degree of bonding between ink or ink and the medium surface.

[0139] In detail, the medium adhesion of the medium test sample is determined according to the medium-ink bonding degree, wherein the higher the medium-ink bonding degree is, the stronger the medium adhesion is.

[0140] S2. Based on the color reproduction and medium adaptability, the multi-media digital printer is optimized to obtain a target digital printer, an ICC profile of the target digital printer is configured, and a color space matching coefficient of the ICC profile and the design software corresponding to the packaging sample to be printed is calculated. According to the color space matching coefficient, the color parameters of the printed sample of the target digital printer are defined.

[0141] The present invention optimizes the multi-media digital printer based on the color reproduction and medium adaptability, and obtains a target digital printer that can improve the consistency of proofing and printing, and improve production efficiency and customer satisfaction. The target digital printer refers to a multi-media digital printer obtained through the optimization process, which has high color reproduction and medium adaptability. In detail, the optimization of the multi-media digital printer based on the color reproduction and medium adaptability can be achieved by optimizing the color parameters, medium type, paper feed path, drying temperature and other parameters of the multi-media digital printer.

[0142] Optionally, the present invention configures the ICC profile of the target digital printer to accurately reflect the color characteristics of the target digital printer, thereby achieving more accurate color conversion and matching in the color management process, providing a basis for subsequent printing color optimization.

[0143] In detail, the configuring of the ICC profile of the target digital printer includes:

[0144] Identifying color space information of the target digital printer, wherein the color space information includes color gamut, color depth, and color model;

[0145] Based on the color space information, determining a standard color block of the target digital printer;

[0146] Using the target digital printer to construct a color block image of a standard color block;

[0147] Recording color block measurement data of the color block image, wherein the color block measurement data includes chromaticity coordinates and density values;

[0148] Based on the color space information and the color patch measurement data, construct an initial ICC profile of the target digital printer;

[0149] Analyzing the color performance of the initial ICC profile on a target digital printer;

[0150] According to the color representation, the file parameters of the initial ICC profile are adjusted to obtain the ICC profile of the target digital printer, wherein the file parameters include parameters such as space description, gamma curve, black and white points, etc.

[0151] The color space information refers to the range and characteristics of the color space that the target digital printer can process, including information such as color gamut, color depth, and color model. The color gamut refers to the range of colors that the target digital printer can display or print. The color depth refers to the number of colors that each color channel can represent in a specific color model. The color model refers to a definition of how colors are represented by a mixture of three or more basic colors (such as red, green, blue, cyan, magenta, yellow, etc.). The color block image refers to a standard test image used to calibrate and test the output color of the printer. The chromaticity coordinates refer to the numerical value used to describe the color. The density value refers to the value used to describe the printing. The initial ICC profile refers to the initial ICC profile created based on the color characteristics of the target digital printer and the measurement data of the standard color block. The color performance refers to the evaluation of the matching degree between the color output by the initial ICC profile on the target digital printer and the expected color. The space description refers to the definition of the conversion relationship between the device color space and the standard color space in the ICC profile. The gamma curve refers to the description of the relationship between the device output and the input signal. The black and white points refer to the black and white points of the device color space defined in the ICC profile, which are used to ensure the dark and bright details of the image.

[0152] Optionally, the color block measurement data recording the color block image may be extracted using an image color processor.

[0153] The present invention calculates the color space matching coefficient of the ICC profile and the design software corresponding to the packaging sample to be printed to ensure accurate color conversion and matching between different devices. By correctly configuring the ICC profile, color deviation can be minimized and the accuracy of color reproduction can be improved.

[0154] In detail, the calculation of the color space matching coefficient of the ICC profile and the design software corresponding to the packaging sample to be printed includes:

[0155] Obtaining software color space information of design software corresponding to the packaging sample to be printed;

[0156] Converting the software color space information of the design software into the color space of the target digital printer corresponding to the ICC configuration file to obtain the software-file color space;

[0157] Convert the color space information of the target digital printer into the color space of the design software to obtain the file-software color space;

[0158] Calculating the software-file color difference and the file-software color difference of the software-file color space and the file-software color space respectively;

[0159] According to the piece-file color difference and the file-software color difference, the color space matching coefficient of the ICC profile and the design software corresponding to the packaging sample to be printed is calculated.

[0160] Among them, the software color space information refers to the range and characteristics of the color space used in the design software corresponding to the packaging sample to be printed, including parameters such as color gamut, color depth, and color model. The software-file color space refers to the conversion color space generated by converting the color space information of the design software into the color space of the target digital printer during the color management process. The file-software color space refers to the conversion color space generated by converting the color space information of the target digital printer back to the color space of the design software during the color management process. The software-file color difference refers to the color difference generated when converting from the color space of the design software to the color space of the target digital printer during the color management process. The file-software color difference refers to the color difference generated when converting from the color space of the target digital printer back to the color space of the design software during the color management process. The color space matching coefficient refers to the degree of matching between the ICC profile and the color space of the design software. It quantifies the accuracy of color conversion by comparing the software-file color difference and the file-software color difference. The closer the matching coefficient is to 1, the better the color matching.

[0161] The present invention defines the printing sample color parameters of the target digital printer according to the color space matching coefficient, and reduces manual adjustments and errors by optimizing the color management process, thereby improving production efficiency and proofing speed. The printing sample color parameters refer to the color settings used when printing on the target digital printer, including color parameters such as color gamut, color depth, and color model. These parameters define the range and characteristics of the printer output color.

[0162] S3. Construct a linearization test image of the target digital printer, and based on the linearization test image, determine the nonlinear region of the target digital printer, construct a linearization curve of the target digital printer according to the nonlinear region, and establish a linear calibration model of the target digital printer through the linearization curve.

[0163] It should be explained that the linearization test image refers to a standard test image used to evaluate and correct the nonlinearity problem of the printer's color output.

[0164] The present invention determines the nonlinear areas of the target digital printer based on the linearization test image to reduce or eliminate the color deviations in these areas, thereby further achieving more accurate color management and printing quality.

[0165] In detail, the determining the nonlinear region of the target digital printer based on the linearization test image includes:

[0166] identifying the color response of the target digital printer based on the linearization test image;

[0167] constructing a color response curve for the color response;

[0168] Calculating the slope of the color response curve;

[0169] Analyzing the nonlinear coefficient of the slope of the curve;

[0170] According to the non-linear coefficient, a non-linear region of the target digital printer is marked.

[0171] Among them, the color response refers to the description of the actual output of the target digital printer under different colors and densities, the color response curve refers to the curve automatically constructed by inputting color block data in the color management software, the curve slope refers to the rate of change of the color response, the nonlinear coefficient refers to the degree of nonlinearity used to quantify the slope of the color response curve, and the nonlinear area refers to the area in the color response curve where the slope or shape of the curve deviates or fluctuates.

[0172] Optionally, the color response curve for constructing the color response may be constructed by color management software such as Argyll Color Tools, X-Rite i1Profiler, etc.

[0173] Optionally, the calculation of the curve slope of the color response curve may be performed using a curve fitting function in mathematical software Mathematica.

[0174] The present invention constructs a linearization curve of the target digital printer according to the nonlinear region. Through the linearization curve, a linear calibration model of the target digital printer is established, which can be used to correct the nonlinear output of the printer and improve the printing quality of the target digital printer. In detail, the linearization curve refers to a curve constructed to correct the nonlinear output of the printer. The linear calibration model refers to a mathematical model used to describe the relationship between the printer output and the input color data. The linear calibration model includes parameters such as a color conversion matrix, a gamma curve, and black and white points.

[0175] S4. Construct an AR3D model of the packaging sample to be printed, and use the AR3D model to implement online sample preview of the packaging sample to be printed corresponding to the user. When the online sample preview meets the sample preview requirement of the user, the packaging sample to be printed is printed by using the target digital printer according to the linear calibration model and the color parameters of the printed sample to obtain a printed sample.

[0176] The AR3D model of the packaging sample to be printed constructed by the present invention can enable the user to preview the sample, thereby improving the user experience and the efficiency of demand determination.

[0177] In detail, the AR3D model of the packaging sample to be printed is constructed, including:

[0178] Constructing a three-dimensional display of the packaging sample to be printed;

[0179] Based on the three-dimensional display image, extracting three-dimensional data of the packaging sample to be printed;

[0180] Constructing a three-dimensional reconstructed surface of the packaging sample to be printed according to the three-dimensional data, and establishing a 3D model of the packaging sample to be printed through the three-dimensional reconstructed surface;

[0181] Constructing an AR interactive scene of the 3D model;

[0182] Identify interactive elements of the AR interactive scene, and construct interactive functions of the AR interactive scene based on the interactive elements, wherein the interactive functions include touch screen interaction, gesture interaction, and voice interaction;

[0183] The AR interactive scene and interactive function are integrated into the 3D model to obtain the AR3D model of the packaging sample to be printed.

[0184] Among them, the three-dimensional display image represents a display image reflecting the shape and details of the sample, the three-dimensional data refers to digital data that describes the geometric shape, texture, material and other information of the three-dimensional model, the three-dimensional reconstruction surface refers to a mathematical surface constructed using three-dimensional data, which is used to accurately represent the shape and structure of the three-dimensional model, the 3D model refers to a three-dimensional object created based on the three-dimensional reconstruction surface, which contains all necessary details of the sample, the AR interaction scene refers to a scene created in an augmented reality environment, which is used to display and interact with the three-dimensional model, the interactive element refers to an object or part that a user can interact with in the AR interaction scene, such as buttons, components, etc., the touch screen interaction refers to the user interacting with the AR3D model by touching the screen, the gesture interaction refers to the user interacting with the AR3D model through gesture movements, the voice interaction refers to the user interacting with the AR3D model through voice commands, and the AR3D model refers to a three-dimensional model that combines AR interaction scenes and interactive functions.

[0185] Optionally, the construction of the three-dimensional display diagram of the packaging sample to be printed can be achieved by using CAD software.

[0186] Optionally, the three-dimensional reconstructed surface of the packaging sample to be printed is constructed based on the three-dimensional data by using greedy triangulation, point cloud processing algorithm, three-dimensional reconstruction algorithm and other algorithms.

[0187] The present invention uses the AR3D model to realize the online sample preview of the user corresponding to the packaging sample to be printed, which can provide the user with the sample usage scenario, improve the user experience, and increase the finalization efficiency. In detail, the AR3D model can be integrated into the AR platform to realize the online sample preview of the user corresponding to the packaging sample to be printed, and the AR platform can be a device such as a smart phone, a tablet computer or an AR eye.

[0188] Optionally, in the present invention, when the online sample preview meets the user's sample preview requirements, the target digital printer is used to print the packaging sample to be printed according to the linear calibration model and the printing sample color parameters, and the printed sample can reduce the error tolerance of generating finished products from the packaging sample to be printed.

[0189] S5. Identify the key color blocks of the printed sample, calculate the color loss of the printed sample according to the key color blocks, analyze the color optimization parameters of the target digital printer using the trained color optimization model based on the color loss, and use the target digital printer to output the target printed sample of the packaging sample to be printed using the color optimization parameters.

[0190] The present invention identifies the key color blocks of the printed sample and calculates the color loss of the printed sample based on the key color blocks. The color loss can be used as a basis for later sample color optimization. In detail, the key color blocks usually refer to those with high contrast, high saturation or representing the main brand color, and the color loss refers to the color difference between the printed sample and the standard sample or design manuscript.

[0191] Optionally, the present invention uses a trained color optimization model to analyze the color optimization parameters of a target digital printer based on the color loss, and can obtain optimal printing parameters by reducing color loss through the model, thereby improving the effect of digital proofing for packaging printing.

[0192] In detail, the analyzing the color optimization parameters of the target digital printer using the trained color optimization model based on the color loss includes:

[0193] Constructing an optimization target of the color optimization model, and determining an optimization function of the color optimization model according to the optimization target;

[0194] Calculating the gradient of the color loss relative to the current parameters of the corresponding model of the color optimization model;

[0195] Based on the gradient, the color optimization parameters of the target digital printer are calculated using the optimization function of the color optimization model; wherein the optimization function:

[0196] ;

[0197] in, represents the color optimization parameters of the target digital printer, represents the current parameters of the model of the target digital printer, represents the gradient, represents the learning rate of the color optimization model, Indicates the target color of the target digital printer corresponding to the printed sample. represents the derivative, Indicates the color of the printed sample of the color optimization model under the current parameters of the model. Represents a color optimization model.

[0198] Among them, the optimization goal is to minimize color loss, the optimization function is an algorithm used to adjust printer parameters in the color optimization model, the gradient is the direction in which the optimization function increases fastest, the color optimization parameters are the optimization setting parameters of the target digital printer in the color optimization model, such as ink concentration, printing speed and other parameters, the learning rate of the color optimization model is the parameter used to control the parameter update speed in the optimization function, the target color is the ideal color that the printed sample should achieve, and the color optimization model is a model that predicts the relationship between printer parameter adjustment and color loss, and the model can be trained through a large amount of loss data.

[0199] Finally, the present invention improves the digital proofing quality of printed samples by using the target digital printer to output the target printed samples of the packaging samples to be printed through the color optimization parameters.

[0200] The present invention can ensure that the multi-media digital printer of the packaging sample to be printed can obtain high-quality printing effects on different media, while improving production efficiency and customer experience; further, the present invention optimizes the multi-media digital printer based on the color reproduction and medium adaptability, and obtains a target digital printer that can improve the consistency of proofing and printing, improve production efficiency and customer satisfaction, and optionally, the present invention configures the ICC profile of the target digital printer to accurately reflect the color characteristics of the target digital printer, thereby achieving more accurate color conversion and matching in the color management process, providing a basis for subsequent printing color optimization, and further, the present invention calculates the color space matching coefficient of the ICC profile and the design software corresponding to the packaging sample to be printed to ensure accurate color conversion and matching between different devices. By correctly configuring the ICC profile, color deviation can be minimized and the accuracy of color reproduction can be improved. Based on the linearization test image, the present invention determines the nonlinear area of ​​the target digital printer to reduce or eliminate the color deviation of these areas, thereby further achieving more accurate color management and printing quality. Next, the present invention constructs the linearization curve of the target digital printer according to the nonlinear area. Through the linearization curve, the linear calibration model of the target digital printer is established, which can be used to correct the nonlinear output of the printer and improve the printing quality of the target digital printer. The present invention uses the AR3D model to realize the online sample preview of the corresponding user of the packaging sample to be printed, which can provide the user with the sample usage scenario, improve the user experience, and increase the finalization efficiency. Finally, based on the color loss, the present invention uses the trained color optimization model to analyze the color optimization parameters of the target digital printer, which can reduce the color loss through the model to obtain the best printing parameters and improve the effect of digital proofing of packaging printing. Therefore, the present invention can improve the color consistency and efficiency of digital proofing of packaging printing samples.

[0201] like Figure 2 , which is a functional module diagram of a packaging printing digital proofing device based on linear calibration provided by an embodiment of the present invention.

[0202] The packaging printing digital proofing device 100 based on linear calibration of the present invention can be installed in an electronic device. According to the functions to be implemented, the packaging printing digital proofing device 100 based on linear calibration can include a digital printer determination module 101, a color parameter configuration module 102, a linear calibration model construction module 103, an AR3D model construction module 104 and a target printing sample output module 105. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0203] The digital printer determination module 101 is used to identify the printing requirements of the packaging sample to be printed, determine the multi-media digital printer of the packaging sample to be printed according to the printing requirements, and analyze the color reproduction and medium adaptability of the multi-media digital printer;

[0204] The color parameter configuration module 102 is used to optimize the multi-media digital printer based on the color reproduction and medium adaptability to obtain a target digital printer, configure an ICC profile of the target digital printer, and calculate a color space matching coefficient between the ICC profile and the design software corresponding to the packaging sample to be printed, and define the color parameters of the printed sample of the target digital printer according to the color space matching coefficient;

[0205] The linear calibration model construction module 103 is used to construct a linearization test image of the target digital printer, and based on the linearization test image, determine the nonlinear region of the target digital printer, construct a linearization curve of the target digital printer according to the nonlinear region, and establish a linear calibration model of the target digital printer through the linearization curve;

[0206] The AR3D model building module 104 is used to build the AR3D model of the packaging sample to be printed, and use the AR3D model to realize the online sample preview of the corresponding user of the packaging sample to be printed. When the online sample preview meets the sample preview requirement of the user, the packaging sample to be printed is printed by the target digital printer according to the linear calibration model and the color parameters of the printed sample to obtain a printed sample;

[0207] The target printing sample output module 105 is used to identify the key color blocks of the printing sample, calculate the color loss of the printing sample according to the key color blocks, analyze the color optimization parameters of the target digital printer based on the color loss using the trained color optimization model, and output the target printing sample of the packaging sample to be printed using the target digital printer through the color optimization parameters.

[0208] In detail, the modules in the packaging printing digital proofing device 100 based on linear calibration in the embodiment of the present invention are used in the same manner as described above. Figure 1 The same technical means as the packaging printing digital proofing method based on linear calibration described in the text and can produce the same technical effects are not repeated here.

[0209] like Figure 3 FIG. 1 is a schematic diagram of the structure of an electronic device for implementing a packaging printing digital proofing method based on linear calibration provided by an embodiment of the present invention.

[0210] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a packaging printing digital proofing method program based on linear calibration.

[0211] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the packaging printing digital proofing method program based on linear calibration, etc., but also can be used to temporarily store data that has been output or is to be output.

[0212] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules (such as a package printing digital proofing method program based on linear calibration, etc.) stored in the memory 11, and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0213] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0214] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0215] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0216] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0217] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0218] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0219] The packaging printing digital proofing method program based on linear calibration stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0220] Identify the printing requirements of the packaging sample to be printed, determine the multi-media digital printer of the packaging sample to be printed according to the printing requirements, and analyze the color reproduction and medium adaptability of the multi-media digital printer;

[0221] Based on the color reproduction and medium adaptability, the multi-media digital printer is optimized to obtain a target digital printer, an ICC profile of the target digital printer is configured, and a color space matching coefficient of the ICC profile and a design software corresponding to a packaging sample to be printed is calculated, and according to the color space matching coefficient, a color parameter of a printed sample of the target digital printer is defined;

[0222] Constructing a linearization test image of the target digital printer, and determining a nonlinear region of the target digital printer based on the linearization test image, constructing a linearization curve of the target digital printer according to the nonlinear region, and establishing a linear calibration model of the target digital printer through the linearization curve;

[0223] Constructing an AR3D model of the packaging sample to be printed, and using the AR3D model to realize online sample preview of the packaging sample to be printed corresponding to the user, and when the online sample preview meets the sample preview requirement of the user, printing the packaging sample to be printed using the target digital printer according to the linear calibration model and the color parameters of the printed sample to obtain a printed sample;

[0224] Identify the key color blocks of the printed sample, calculate the color loss of the printed sample based on the key color blocks, analyze the color optimization parameters of the target digital printer using the trained color optimization model based on the color loss, and use the target digital printer to output the target printed sample of the packaging sample to be printed using the color optimization parameters.

[0225] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0226] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0227] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0228] Identify the printing requirements of the packaging sample to be printed, determine the multi-media digital printer of the packaging sample to be printed according to the printing requirements, and analyze the color reproduction and medium adaptability of the multi-media digital printer;

[0229] Based on the color reproduction and medium adaptability, the multi-media digital printer is optimized to obtain a target digital printer, an ICC profile of the target digital printer is configured, and a color space matching coefficient of the ICC profile and a design software corresponding to a packaging sample to be printed is calculated, and according to the color space matching coefficient, a color parameter of a printed sample of the target digital printer is defined;

[0230] Constructing a linearization test image of the target digital printer, and determining a nonlinear region of the target digital printer based on the linearization test image, constructing a linearization curve of the target digital printer according to the nonlinear region, and establishing a linear calibration model of the target digital printer through the linearization curve;

[0231] Constructing an AR3D model of the packaging sample to be printed, and using the AR3D model to realize online sample preview of the packaging sample to be printed corresponding to the user, and when the online sample preview meets the sample preview requirement of the user, printing the packaging sample to be printed using the target digital printer according to the linear calibration model and the color parameters of the printed sample to obtain a printed sample;

[0232] Identify the key color blocks of the printed sample, calculate the color loss of the printed sample based on the key color blocks, analyze the color optimization parameters of the target digital printer using the trained color optimization model based on the color loss, and use the target digital printer to output the target printed sample of the packaging sample to be printed using the color optimization parameters.

[0233] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0234] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0235] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0236] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0237] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the system claim can also be implemented by one unit or device through software or hardware. The second and other words are used to indicate names, but not to indicate any particular order.

[0238] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A packaging printing digital proofing method based on linear calibration, characterized in that: The method comprises: Identify the printing requirements of the packaging sample to be printed, determine the multi-media digital printer of the packaging sample to be printed according to the printing requirements, and analyze the color reproduction and medium adaptability of the multi-media digital printer; Based on the color reproduction and medium adaptability, the multi-media digital printer is optimized to obtain a target digital printer, an ICC profile of the target digital printer is configured, and a color space matching coefficient of the ICC profile and a design software corresponding to a packaging sample to be printed is calculated, and according to the color space matching coefficient, a color parameter of a printed sample of the target digital printer is defined; Constructing a linearization test image of the target digital printer, and determining a nonlinear region of the target digital printer based on the linearization test image, constructing a linearization curve of the target digital printer according to the nonlinear region, and establishing a linear calibration model of the target digital printer through the linearization curve; Constructing an AR3D model of the packaging sample to be printed, and using the AR3D model to realize online sample preview of the packaging sample to be printed corresponding to the user, and when the online sample preview meets the sample preview requirement of the user, printing the packaging sample to be printed using the target digital printer according to the linear calibration model and the color parameters of the printed sample to obtain a printed sample; Identify the key color blocks of the printed sample, calculate the color loss of the printed sample according to the key color blocks, analyze the color optimization parameters of the target digital printer using the trained color optimization model based on the color loss, and output the target printed sample of the packaging sample to be printed using the target digital printer according to the color optimization parameters; The analyzing the color reproduction and medium adaptability of the multi-media digital printer includes: Establishing standard colors of the multimedia digital printer; outputting a test color sample of the multi-media digital printer; constructing a test color sample image of the test color sample; Based on the test color sample image, marking the color value of the test color sample; Calculating the brightness color difference, red-green color difference and yellow-blue color difference of the test color sample according to the color value and the standard color; According to the brightness color difference, red-green color difference and yellow-blue color difference of the test color sample, the color reproduction performance of the multi-media digital printer is calculated using the following formula: ； in, Indicates the color reproduction of a multimedia digital printer. Indicates the brightness and color difference of the test color sample. represents the red-green color difference of the test color sample, Indicates the yellow-blue difference of the test color sample; determining a media type of the multi-media digital printer; Analyzing the media characteristics of the media type, and defining media printing parameters of the multi-media digital printer according to the media characteristics; According to the media printing parameters, obtaining a media test sample of the multi-media digital printer; analyzing the media sample color difference, media sample clarity, and media adhesion of the media test sample; Analyzing the media adaptability of the multi-media digital printer based on the color difference of the media samples, the clarity of the media samples and the media adhesion; The analyzing the medium sample color difference, medium sample clarity and medium adhesion of the medium test sample includes: outputting a media test sample image of the media test sample; Analyzing the medium sample color of the medium test sample image, and analyzing the medium sample color difference of the medium test sample according to the medium sample color and the standard medium color; identifying a printed body of the media test sample and calculating a body grayscale value of the printed body; According to the grayscale value of the main body, the pixel gradient amplitude of the printed main body is calculated using the following formula: ； in, represents the pixel gradient amplitude of the printed subject, Indicates the pixel points corresponding to the printed subject The main gray value of represents the horizontal convolution kernel, represents the vertical convolution kernel, Indicates the pixel points corresponding to the printed subject The horizontal axis of Indicates the pixel points corresponding to the printed subject The vertical coordinate of Analyzing the medium sample clarity of the medium test sample by means of the pixel gradient amplitude; Constructing a light source environment for the medium test sample; determining the medium adhesion of the medium test sample based on the light source environment; The step of evaluating the medium adhesion of the medium test sample based on the light source environment includes: Constructing a test light source for the medium test sample through the light source environment; Calculating a light source uniformity coefficient of the test light source, and optimizing the test light source based on the light source uniformity coefficient to obtain a target test light source; Configuring light source parameters of the target test light source; defining a reflection angle of the target test light source; According to the light source parameters and the reflection angle, identifying the incident light source intensity and the reflected light source intensity of the target test light source; Based on the incident light source intensity and the reflected light source intensity, the light source diffusion coefficient of the medium test sample is calculated using the following formula: ； in, represents the diffusion coefficient of the light source of the medium test sample, Indicates the medium test sample No. The intensity of the reflected light source at the reflection angle, Indicates the number of the medium test sample corresponding to the target test light source. Reflection angle, Indicates the incident light intensity of the vertical medium test sample, Indicates the reflected light intensity of the vertical medium test sample. Indicates the number of reflection angles of the medium test sample corresponding to the target test light source; Analyzing the medium-ink bonding degree of the medium test sample by using the light source diffusion coefficient; Determining the medium adhesion of the medium test sample according to the medium ink bonding degree; The configuring of the ICC profile of the target digital printer comprises: Identifying color space information of the target digital printer, wherein the color space information includes color gamut, color depth, and color model; Based on the color space information, determining a standard color block of the target digital printer; Using the target digital printer to construct a color block image of a standard color block; Recording color block measurement data of the color block image, wherein the color block measurement data includes chromaticity coordinates and density values; Based on the color space information and the color patch measurement data, construct an initial ICC profile of the target digital printer; Analyzing the color performance of the initial ICC profile on a target digital printer; According to the color representation, adjusting the file parameters of the initial ICC profile to obtain the ICC profile of the target digital printer, wherein the file parameters include parameters such as space description, gamma curve, black and white points, etc.; The calculating of the color space matching coefficient of the ICC profile and the design software corresponding to the packaging sample to be printed includes: Obtaining software color space information of design software corresponding to the packaging sample to be printed; Converting the software color space information of the design software into the color space of the target digital printer corresponding to the ICC configuration file to obtain the software-file color space; Convert the color space information of the target digital printer into the color space of the design software to obtain the file-software color space; Calculating the software-file color difference and the file-software color difference of the software-file color space and the file-software color space respectively; Calculate the color space matching coefficient of the ICC profile and the design software corresponding to the packaging sample to be printed according to the color difference between the piece and the file and the color difference between the file and the software; The step of determining the nonlinear region of the target digital printer based on the linearization test image comprises: identifying the color response of the target digital printer based on the linearization test image; constructing a color response curve for the color response; Calculating the slope of the color response curve; Analyzing the nonlinear coefficient of the slope of the curve; According to the nonlinear coefficient, marking the nonlinear region of the target digital printer; The AR3D model of the packaging sample to be printed is constructed, including: Constructing a three-dimensional display of the packaging sample to be printed; Based on the three-dimensional display image, extracting three-dimensional data of the packaging sample to be printed; Constructing a three-dimensional reconstructed surface of the packaging sample to be printed according to the three-dimensional data, and establishing a 3D model of the packaging sample to be printed through the three-dimensional reconstructed surface; Constructing an AR interactive scene of the 3D model; Identify interactive elements of the AR interactive scene, and construct interactive functions of the AR interactive scene based on the interactive elements, wherein the interactive functions include touch screen interaction, gesture interaction, and voice interaction; Integrate the AR interactive scene and interactive function into the 3D model to obtain the AR3D model of the packaging sample to be printed; The method of analyzing the color optimization parameters of the target digital printer using the trained color optimization model based on the color loss includes: Constructing an optimization target of the color optimization model, and determining an optimization function of the color optimization model according to the optimization target; Calculating the gradient of the color loss relative to the current parameters of the corresponding model of the color optimization model; Based on the gradient, the color optimization parameters of the target digital printer are calculated using the optimization function of the color optimization model; wherein the optimization function: ； in, represents the color optimization parameters of the target digital printer, represents the current parameters of the model of the target digital printer, represents the gradient, represents the learning rate of the color optimization model, Indicates the target color of the target digital printer corresponding to the printed sample. represents the derivative, Indicates the color of the printed sample of the color optimization model under the current parameters of the model. Represents a color optimization model.

2. A packaging printing digital proofing device based on linear calibration used in the method of claim 1, characterized in that: The device comprises: A digital printer determination module is used to identify the printing requirements of the packaging sample to be printed, determine the multi-media digital printer of the packaging sample to be printed according to the printing requirements, and analyze the color reproduction and medium adaptability of the multi-media digital printer; A color parameter configuration module, for optimizing the multi-media digital printer based on the color reproducibility and medium adaptability, obtaining a target digital printer, configuring an ICC profile of the target digital printer, and calculating a color space matching coefficient between the ICC profile and the design software corresponding to the packaging sample to be printed, and defining a printing sample color parameter of the target digital printer according to the color space matching coefficient; A linear calibration model building module, used to build a linearization test image of the target digital printer, and based on the linearization test image, determine the nonlinear region of the target digital printer, build a linearization curve of the target digital printer according to the nonlinear region, and establish a linear calibration model of the target digital printer through the linearization curve; An AR3D model building module is used to build an AR3D model of the packaging sample to be printed, and use the AR3D model to realize online sample preview of the corresponding user of the packaging sample to be printed. When the online sample preview meets the sample preview requirements of the user, the packaging sample to be printed is printed by the target digital printer according to the linear calibration model and the color parameters of the printed sample to obtain a printed sample; The target printing sample output module is used to identify the key color blocks of the printing sample, calculate the color loss of the printing sample according to the key color blocks, analyze the color optimization parameters of the target digital printer based on the color loss using the trained color optimization model, and output the target printing sample of the packaging sample to be printed using the target digital printer through the color optimization parameters.

Images