Digital printing design data processing method and system based on data analysis

By using an intelligent analysis terminal to perform task analysis, preprocessing, and frequency domain denoising on digital printing images, the problems of image mismatch with printing tasks and noise were solved, thereby improving printing quality and reducing costs.

CN120848826AInactive Publication Date: 2025-10-28HANGZHOU TIANPIN YIJIA DIGITAL TECH CO LTD
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Patent Information

Application Number
CN202510982806.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-16
Publication Date
2025-10-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The image before digital printing does not match the printing task information, or the image does not meet printing standards or contains noise, resulting in low and blurry printing quality.

Method used

The intelligent analysis terminal performs image printing task analysis, information extraction, preprocessing, signal conversion, and frequency domain noise reduction to ensure that the image meets printing standards and removes noise.

Benefits of technology

It improved the quality of printed images and reduced scrap rates and printing costs.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a digital printing design data processing method and system based on data analysis, and relates to the technical field of digital printing design data processing.The digital printing design data processing method comprises the steps that task content analysis is conducted on a task list of a digital printing machine based on an intelligent analysis terminal, and an image printing task is determined; based on the intelligent analysis terminal, performing information extraction processing on the image printing task to obtain to-be-printed image data; based on the intelligent analysis terminal, the to-be-printed image data are preprocessed, and whether the to-be-printed image data meet the printing standard or not is determined; and based on the intelligent analysis terminal, performing signal conversion on the to-be-printed image data to obtain frequency spectrum information of the to-be-printed image data. According to the method, the to-be-printed image is subjected to standardized analysis through the image printing task, whether the to-be-printed image meets the printing standard or not is determined, if not, the image is not printed, the situation that the printed image is low in quality and cannot be used is avoided, meanwhile, printing materials are saved, and the image printing cost is reduced.
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Description

Technical Field

[0001] This invention relates to the field of digital printing design data processing technology, specifically to a digital printing design data processing method and system based on data analysis. Background Technology

[0002] Digital printing has gradually become an important technology in the printing industry in recent years, especially suitable for short-run printing, custom printing, and rapid design iteration. However, digital printing requires processing a large amount of complex data during the design phase, including graphic design, color management, and image resolution.

[0003] If information matching between the image to be printed and the printing task is not performed before digital printing, and the image to be printed does not meet printing standards, the quality of the printed image will be low. In addition, if noise in the image to be printed is not removed, the printed image will be blurry, which will also reduce the quality of the printed image. Summary of the Invention

[0004] To address the aforementioned technical problems, a digital printing design data processing method and system based on data analysis is provided. This technical solution solves the problem mentioned in the background art that if information matching between the image to be printed and the printing task is not performed before digital printing, and the image to be printed does not meet printing standards, the quality of the printed image will be low. In addition, if noise in the image to be printed is not removed, the printed image will be blurry, which will also reduce the quality of the printed image.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A digital printing design data processing method based on data analysis includes: Based on the intelligent analysis terminal, the task content of the task list of the digital printing press is analyzed to determine the image printing task. Based on the intelligent analysis terminal, information extraction and processing are performed on the image printing task to obtain the image data to be printed. Based on the intelligent analysis terminal, the image data to be printed is preprocessed to determine whether the image data to be printed meets the printing standards. Based on the intelligent analysis terminal, signal conversion is performed on the image data to be printed to obtain the spectral information of the image data to be printed; Based on the intelligent analysis terminal, the spectral information of the image data to be printed is denoised in the frequency domain to obtain noise-free image data to be printed. Based on the intelligent analysis terminal, the digital printing press is controlled to print noise-free image data to be printed.

[0006] Preferably, the acquisition of the image data to be printed, based on an intelligent analysis terminal, involves preprocessing the image data to be printed and determining whether the image data meets printing standards, specifically including the following steps: Based on the intelligent analysis terminal, the data of the digital printing machine's instruction manual is read and processed to obtain the digital printing machine's image printing format; Based on the intelligent analysis terminal, the data of the image to be printed is read and processed to obtain the format of the image data to be printed. Based on the intelligent analysis terminal, the image printing format of the digital printing press and the format of the image data to be printed are judged and processed. If the image printing format of the digital printer is consistent with the format of the image data to be printed, and the format of the image data to be printed conforms to the format printing standard of the digital printer, there is no need to convert the format of the image data to be printed. If the image printing format of the digital printer is inconsistent with the format of the image data to be printed, or if the format of the image data to be printed does not conform to the digital printer's format printing standard, the format of the image data to be printed should be converted. Based on the intelligent analysis terminal, the image printing task and the image data to be printed are analyzed and processed to determine whether the image data to be printed meets the printing standards.

[0007] Preferably, the step of analyzing and processing the image printing task and the image data to be printed based on the intelligent analysis terminal to determine whether the image data to be printed meets the printing standards specifically includes the following steps: Based on the intelligent analysis terminal, task information is extracted and processed for image printing tasks to obtain image printing requirements. Based on the intelligent analysis terminal, data extraction and processing are performed on the image printing requirements to obtain the resolution required for image printing. Based on the intelligent analysis terminal, information extraction and processing are performed on the image data to be printed to obtain the resolution of the image to be printed; Based on the intelligent analysis terminal, the required resolution for image printing and the resolution of the image to be printed are determined and processed. If the resolution required for printing the image is greater than the resolution of the image to be printed, the image data does not meet the printing standards and cannot be printed. If the resolution required for printing the image is less than or equal to the resolution of the image to be printed, and the image data meets printing standards, the digital printing press can print the image.

[0008] Preferably, the step of performing signal conversion on the image data to be printed based on the intelligent analysis terminal to obtain the spectral information of the image data to be printed specifically includes the following steps: If the image data to be printed meets printing standards; Based on the intelligent analysis terminal, the image data to be printed is processed into grayscale to obtain the grayscale image to be printed. Based on the Fast Fourier Transform algorithm, signal conversion is performed on the grayscale image to be printed to obtain the spectral information of the image data to be printed.

[0009] Preferably, the step of performing noise reduction processing on the spectral information of the image data to be printed in the frequency domain based on the intelligent analysis terminal to obtain noise-free image data to be printed specifically includes the following steps: Based on the intelligent analysis terminal, curves are plotted in the frequency domain according to the spectral information of the image data to be printed, and the spectral curve of the image to be printed is obtained. Based on the intelligent analysis terminal, the spectral curve of the image to be printed is processed by function equivalence to determine the spectral function of the image to be printed. Based on the intelligent analysis terminal, noise analysis is performed on the spectral function of the image to be printed to determine the spectral function of the noise. Based on the intelligent analysis terminal, frequency domain denoising and image restoration are performed on the frequency function of the image to be printed according to the frequency function of the noise, so as to obtain noise-free image data to be printed.

[0010] Preferably, the step of performing noise analysis on the spectral function of the image to be printed based on the intelligent analysis terminal to determine the spectral function of the noise specifically includes the following steps: Based on the intelligent analysis terminal, feature extraction processing is performed on the spectral function of the image to be printed to obtain the real and imaginary parts of the image spectral function; Based on the intelligent analysis terminal, the real and imaginary parts of the image spectrum function are calculated and processed to obtain the amplitude spectrum of the image spectrum function; Based on the intelligent analysis terminal, the spectral function of the image to be printed is calculated and processed to obtain the power spectrum of the image spectral function; Based on the intelligent analysis terminal, the amplitude spectrum and power spectrum of the image spectrum function are calculated and analyzed to determine the noise spectrum function.

[0011] Preferably, the step of calculating and analyzing the amplitude spectrum and power spectrum of the image spectrum function based on the intelligent analysis terminal to determine the noise spectrum function specifically includes the following steps: Based on the intelligent analysis terminal, the amplitude spectrum and power spectrum of the image spectrum function are calculated and processed to obtain the power spectral density of the image spectrum function. Get all noise types in the image; Based on the intelligent analysis terminal, the database system is used to extract data by using all noise types in the image as features, and the noise power features corresponding to all noise types are obtained. Based on the intelligent analysis terminal, the power spectrum of the image spectrum function is analyzed by noise power characteristics and power spectral density of the image spectrum function to determine the type of noise contained in the image and the location of the noise in the power spectrum. Based on an intelligent analysis terminal, the spectral function of the image to be printed is extracted and processed using the type of noise contained in the image and the position of the noise in the power spectrum as features, so as to determine the spectral function of the noise.

[0012] Preferably, the step of performing frequency domain denoising and image restoration processing on the spectral information of the image to be printed based on the noise spectral function using an intelligent analysis terminal to obtain noise-free image data to be printed specifically includes the following steps: Based on the intelligent analysis terminal, the noise spectrum is obtained by plotting curves in the frequency domain using the noise spectrum function as a reference. Based on the intelligent analysis terminal, the noise spectrum is processed to remove noise from the spectral information of the image to be printed, thereby obtaining the noise-free spectral information of the image to be printed. Based on the inverse Fourier transform algorithm, the noiseless spectral information of the image to be printed is converted into a signal to obtain noiseless image data to be printed.

[0013] Preferably, the step of controlling the digital printing press to print noise-free image data based on the intelligent analysis terminal specifically includes the following steps: Based on the intelligent analysis terminal, information is extracted and processed from the image printing task to obtain the number of images printed and the materials used for image printing. Based on the intelligent analysis terminal, the parameters of the digital printing machine are set according to the number of images to be printed, and the materials used for image printing are installed into the digital printing machine. Based on the intelligent analysis terminal, the digital printing press is controlled to print noise-free image data to be printed.

[0014] Furthermore, a data analysis-based digital printing design data processing system is proposed to implement the aforementioned data analysis-based digital printing design data processing method, including: The intelligent analysis terminal controls various modules to preprocess the image data to be printed, determining whether the image data meets printing standards; the intelligent analysis terminal controls various modules to perform signal conversion, spectrum analysis, and frequency domain denoising on the image data to be printed, obtaining noise-free image data to be printed; the intelligent analysis terminal also controls data transmission and information interaction between various modules. The task analysis module is used to analyze and process image printing tasks and determine image printing standards. The image judgment module judges the image data to be printed according to the image printing standards to determine whether the image data to be printed meets the printing standards. An image denoising module is used to perform frequency domain denoising on the image data to be printed, thereby obtaining noise-free image data to be printed.

[0015] Furthermore, a storage medium is proposed that stores a computer program, which, when invoked and executed, performs a digital printing design data processing method based on data analysis as described above.

[0016] Compared with the prior art, the present invention provides a digital printing design data processing method and system based on data analysis, which has the following beneficial effects: 1. This invention performs standardized analysis on the image to be printed in the image printing task to determine whether the image meets the printing standards. If it does not meet the standards, the image will not be printed, thus avoiding the printing of unusable images of low quality. At the same time, it also saves printing materials and reduces the cost of image printing.

[0017] 2. This invention uses frequency domain analysis to locate noise in the image to be printed, determines the location of the noise, and then performs noise reduction processing on the image to be printed based on the location of the noise, thereby improving the quality of the printed image and reducing the scrap rate. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating steps S100-S600 in a digital printing design data processing method based on data analysis proposed in this invention. Figure 2 This is a structural block diagram of a digital printing design data processing system based on data analysis proposed in this invention. Detailed Implementation

[0019] The following description is intended to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are merely examples, and those skilled in the art may conceive of other obvious variations.

[0020] Reference Figure 1 As shown, a digital printing design data processing method based on data analysis includes: S100: Based on the intelligent analysis terminal, analyze the task content of the task list of the digital printing press to determine the image printing task. S200: Based on the intelligent analysis terminal, information extraction and processing are performed on the image printing task to obtain the image data to be printed. S300: Based on the intelligent analysis terminal, preprocess the image data to be printed to determine whether the image data to be printed meets the printing standards. S400, based on the intelligent analysis terminal, performs signal conversion on the image data to be printed and obtains the spectrum information of the image data to be printed. S500, based on an intelligent analysis terminal, performs noise reduction processing on the spectral information of the image data to be printed in the frequency domain to obtain noise-free image data to be printed. S600, based on an intelligent analysis terminal, controls a digital printing press to print noiseless image data to be printed; Those skilled in the art will understand that if the image to be printed is different from the standard required for the image printing task, the quality of the printed image may be reduced. In addition, if there is a lot of noise in the image to be printed, the printed image will be blurry and unusable, wasting raw materials. Therefore, the image to be printed is first standardized and analyzed to determine whether the image data to be printed meets the printing standard. If it does not meet the printing standard, the image is not printed. If it meets the printing standard, in order to improve the quality of the printed image, the image is denoised to make the image features clearer, thereby improving the quality of the printed image and reducing the scrap rate.

[0021] Example 1

[0022] S300. Acquire the image data to be printed. Based on the intelligent analysis terminal, preprocess the image data to be printed to determine whether the image data to be printed meets the printing standards. This specifically includes the following steps: S301. Based on the intelligent analysis terminal, the data of the digital printing machine's instruction manual is read and processed to obtain the image printing format of the digital printing machine. S302. Based on the intelligent analysis terminal, perform data reading and processing on the image data to be printed, and obtain the format of the image data to be printed. S303. Based on the intelligent analysis terminal, the image printing format of the digital printing press and the format of the image data to be printed are judged and processed. S304. If the image printing format of the digital printer is consistent with the format of the image data to be printed, and the format of the image data to be printed conforms to the format printing standard of the digital printer, there is no need to convert the format of the image data to be printed. S305. If the image printing format of the digital printer is inconsistent with the format of the image data to be printed, or the format of the image data to be printed does not conform to the format printing standard of the digital printer, the format of the image data to be printed shall be converted. S306. Based on the intelligent analysis terminal, analyze and process the image printing task and the image data to be printed to determine whether the image data to be printed meets the printing standards. It is understandable that the format of the image to be printed may be different from the format of the image that the digital printing press can print. In order to print successfully, it is necessary to convert the format of the image to be printed into the format that the digital printing press can print. S306, based on an intelligent analysis terminal, analyzes and processes the image printing task and the image data to be printed to determine whether the image data to be printed meets the printing standards. Specifically, this includes the following steps: S3061. Based on the intelligent analysis terminal, extract and process task information for image printing tasks to obtain image printing requirements. S3062. Based on the intelligent analysis terminal, perform data extraction and processing on the image printing requirements to obtain the resolution required for image printing; S3063. Based on the intelligent analysis terminal, information extraction and processing are performed on the image data to be printed to obtain the resolution of the image to be printed; S3064. Based on the intelligent analysis terminal, the required resolution for image printing and the resolution of the image to be printed are judged and processed. S3065. If the resolution required for printing the image is greater than the resolution of the image to be printed, and the data of the image to be printed does not meet the printing standards, the image to be printed cannot be printed. S3066. If the resolution required for printing the image is less than or equal to the resolution of the image to be printed, and the image data to be printed meets the printing standards, the digital printing press can print the image to be printed. In this embodiment, the image printing task records the required image resolution. Printing images with certain specific resolutions requires a certain image resolution. Therefore, the image printing requirements are extracted to determine the required resolution. Then, the image to be printed is extracted to determine its resolution. Finally, the required resolution and the resolution of the image to be printed are compared to determine if the resolution of the image to be printed meets the requirements. If they do not meet the requirements, the clarity of the printed image will not meet the requirements of the image printing task, and the printed image will be unusable, resulting in material waste and increased printing costs.

[0023] Example 2

[0024] S400, based on the intelligent analysis terminal, performs signal conversion on the image data to be printed and obtains the spectral information of the image data to be printed, specifically including the following steps: S401. If the image data to be printed conforms to the printing standards; S402. Based on the intelligent analysis terminal, perform grayscale processing on the image data to be printed to obtain the grayscale image to be printed. S403. Based on the Fast Fourier Transform algorithm, perform signal conversion on the grayscale image to be printed to obtain the spectral information of the image data to be printed. In this embodiment, if the image contains noise, it will cause certain areas or features of the image to become blurred. In order to improve the quality of the printed image, frequency domain denoising is performed on the image to improve the clarity of certain areas or features of the image.

[0025] Example 3

[0026] S500, based on the intelligent analysis terminal, performs noise reduction processing on the spectral information of the image data to be printed in the frequency domain to obtain noise-free image data to be printed. Specifically, this includes the following steps: S501. Based on the intelligent analysis terminal, the spectrum information of the image data to be printed is used to plot a curve in the frequency domain to obtain the spectrum curve of the image to be printed. It is understandable that images are composed of digital signals. Therefore, the pixel values ​​of an image can be converted into spectrum analysis using the Fast Fourier Transform algorithm. Then, based on the spectrum information, curves can be plotted in the frequency domain to obtain a spectrum curve. The spectrum curves at different locations can be expressed by different functions, thus realizing the expression of the image by functions. Among these functions, there are some noise functions. By determining the noise functions, image denoising can be achieved. S502. Based on the intelligent analysis terminal, perform function equivalence processing on the spectral curve of the image to be printed to determine the spectral function of the image to be printed. It is understandable that the spectral curve of the image to be printed can be a combination of sine, cosine and complex exponential functions, while the function expression of noise may be a sine or cosine function at a certain position. For example, the function part at the odd number of 3s is the noise function. By determining the coefficient of the noise through its energy in the frequency domain, the function can be modified. For example, if the coefficient of the noise energy expression is one-third, simply subtract one-third from the coefficient of the function at the odd number of 3s to complete the denoising. S503. Based on the intelligent analysis terminal, perform noise analysis on the spectral function of the image to be printed to determine the spectral function of the noise; S504. Based on the intelligent analysis terminal, frequency domain denoising and image restoration processing are performed on the frequency function of the image to be printed according to the frequency function of the noise to obtain noise-free image data to be printed. Specifically, S503, based on the intelligent analysis terminal, performs noise analysis on the spectral function of the image to be printed, and determines the spectral function of the noise by including the following steps: S5031. Based on the intelligent analysis terminal, feature extraction processing is performed on the spectral function of the image to be printed to obtain the real and imaginary parts of the image spectral function; S5032. Based on the intelligent analysis terminal, the real and imaginary parts of the image spectrum function are calculated and processed to obtain the amplitude spectrum of the image spectrum function; It is understandable that the amplitude spectrum is obtained by taking the square of the real part of the spectral function and the square of the imaginary part of the frequency domain function, and then applying the square root of the sum. S5033. Based on the intelligent analysis terminal, the spectral function of the image to be printed is calculated and processed to obtain the power spectrum of the image spectral function; It is understandable that the power spectrum is the square of the absolute value of the spectrum function. That is, the negative spectral value of the spectrum function is first changed to a positive value, and then the power spectrum is obtained by squaring it. The location of noise can be determined in the power spectrum. S5034. Based on the intelligent analysis terminal, calculate and analyze the amplitude spectrum and power spectrum of the image spectrum function to determine the noise spectrum function; It is understandable that noise also has energy. Noise cannot be observed in the time domain, but it is displayed as energy in the frequency domain. Therefore, by calculating the power spectrum, amplitude spectrum, and power spectral density, and analyzing their energy, the location and energy of the noise can be determined. Then, in the frequency domain function, it can be determined which functions are noise functions or which functions contain noise functions. By denoising them, a noise-free frequency domain function can be obtained. Specifically, S5034, based on the intelligent analysis terminal, calculates and analyzes the amplitude spectrum and power spectrum of the image spectrum function to determine the noise spectrum function, including the following steps: S50341. Based on the intelligent analysis terminal, the amplitude spectrum and power spectrum of the image spectrum function are calculated and processed to obtain the power spectral density of the image spectrum function. S50342. Obtain all noise types in the image; S50343. Based on the intelligent analysis terminal, the database system is processed to extract data using all noise types in the image as features, and the noise power features corresponding to all noise types are obtained. It is understandable that different types of noise in an image may have different energy levels. For example, the power spectrum of white noise (such as thermal noise) is usually flat, which means that its energy distribution is roughly uniform throughout the frequency domain. The power spectrum of pink noise tends to decrease as the frequency increases, and usually exhibits power-law characteristics of the frequency. Therefore, it is possible to analyze and filter based on the power spectrum of different noises to perform noise reduction. S50344. Based on the intelligent analysis terminal, the power spectrum of the image spectrum function is analyzed by noise power characteristics and power spectral density of the image spectrum function, respectively, to determine the type of noise contained in the image and the position of the noise in the power spectrum. S50345. Based on an intelligent analysis terminal, the spectral function of the image to be printed is extracted and processed using the type of noise contained in the image and the position of the noise in the power spectrum as features, so as to determine the spectral function of the noise. Specifically, S504, based on the intelligent analysis terminal, performs frequency domain denoising and image restoration processing on the spectral information of the image to be printed according to the noise spectral function to obtain noise-free image data to be printed, including the following steps: S5041. Based on the intelligent analysis terminal, the noise spectrum is obtained by plotting a curve in the frequency domain using the noise spectrum function as a reference. S5042. Based on the intelligent analysis terminal, the noise spectrum of the image to be printed is denoised according to the spectrum information of the noise spectrum to obtain the noise-free spectrum information of the image to be printed. S5043. Based on the inverse Fourier transform algorithm, perform signal conversion on the noiseless spectral information of the image to be printed to obtain noiseless image data to be printed. In this embodiment, different noises have different manifestations, and their power spectra are different. The power spectrum is calculated from the spectrum function. When a certain part of the power spectrum is determined to be noise, its corresponding position is the position of a certain function in the spectrum function. Therefore, by analyzing the power spectrum, amplitude spectrum, and power spectral density, the noise position can be determined. Then, the noise function can be determined based on the noise position, and the spectrum function can be denoised to obtain a spectrum function without noise. After determining the position of the noise in the power spectrum, the power spectral density is analyzed to determine the noise energy, that is, the coefficient of the function, and then the spectrum function of the noise is determined.

[0027] Example 4

[0028] S600, based on an intelligent analysis terminal, controls a digital printing press to print noise-free image data to be printed, specifically including the following steps: S601. Based on the intelligent analysis terminal, information extraction and processing are performed on the image printing task to obtain the number of images printed and the materials used for image printing. S602. Based on the intelligent analysis terminal, the parameters of the digital printing machine are set according to the number of images to be printed, and the materials used for image printing are installed into the digital printing machine. S603: Based on the intelligent analysis terminal, control the digital printing press to print noiseless image data to be printed; In this embodiment, after the image data to be printed is denoised, it can be printed. However, before printing, the parameters of the digital printing machine need to be set so that it can print a certain number of images. In addition, specific materials may be required when printing images, so the printing materials in the digital printing machine need to be replaced before printing.

[0029] Reference Figure 2As shown, a digital printing design data processing system based on data analysis is used to implement the aforementioned digital printing design data processing method based on data analysis, including: The intelligent analysis terminal controls various modules to preprocess the image data to be printed, determining whether the image data meets printing standards; the intelligent analysis terminal controls various modules to perform signal conversion, spectrum analysis, and frequency domain denoising on the image data to be printed, obtaining noise-free image data to be printed; the intelligent analysis terminal also controls data transmission and information interaction between various modules. The task analysis module is used to analyze and process image printing tasks and determine image printing standards. The image judgment module judges the image data to be printed according to the image printing standards to determine whether the image data to be printed meets the printing standards. An image denoising module is used to perform frequency domain denoising on the image data to be printed, thereby obtaining noise-free image data to be printed.

[0030] Furthermore, a storage medium is proposed, on which a computer program is stored. When the computer program is invoked and executed, it performs a digital printing design data processing method based on data analysis as described above. The storage medium can be a magnetic medium, such as a floppy disk, hard disk, or magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid-state drive (SSD).

[0031] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A digital printing design data processing method based on data analysis, characterized in that, include: Based on the intelligent analysis terminal, the task content of the task list of the digital printing press is analyzed to determine the image printing task. Based on the intelligent analysis terminal, information extraction and processing are performed on the image printing task to obtain the image data to be printed. Based on the intelligent analysis terminal, the image data to be printed is preprocessed to determine whether the image data to be printed meets the printing standards. Based on the intelligent analysis terminal, signal conversion is performed on the image data to be printed to obtain the spectral information of the image data to be printed; Based on the intelligent analysis terminal, the spectral information of the image data to be printed is denoised in the frequency domain to obtain noise-free image data to be printed. Based on the intelligent analysis terminal, the digital printing press is controlled to print noise-free image data to be printed.

2. The digital printing design data processing method based on data analysis according to claim 1, characterized in that, The process of acquiring the image data to be printed, based on an intelligent analysis terminal, and preprocessing the image data to determine whether it meets printing standards, specifically includes the following steps: Based on the intelligent analysis terminal, the data of the digital printing machine's instruction manual is read and processed to obtain the digital printing machine's image printing format; Based on the intelligent analysis terminal, the data of the image to be printed is read and processed to obtain the format of the image data to be printed. Based on the intelligent analysis terminal, the image printing format of the digital printing press and the format of the image data to be printed are judged and processed. If the image printing format of the digital printer is consistent with the format of the image data to be printed, and the format of the image data to be printed conforms to the format printing standard of the digital printer, there is no need to convert the format of the image data to be printed. If the image printing format of the digital printer is inconsistent with the format of the image data to be printed, or if the format of the image data to be printed does not conform to the format printing standard of the digital printer, the format of the image data to be printed shall be converted. Based on the intelligent analysis terminal, the image printing task and the image data to be printed are analyzed and processed to determine whether the image data to be printed meets the printing standards.

3. The digital printing design data processing method based on data analysis according to claim 1, characterized in that, The process of analyzing and processing the image printing task and the image data to be printed based on the intelligent analysis terminal to determine whether the image data to be printed meets the printing standards includes the following steps: Based on the intelligent analysis terminal, task information is extracted and processed for image printing tasks to obtain image printing requirements. Based on the intelligent analysis terminal, data extraction and processing are performed on the image printing requirements to obtain the resolution required for image printing. Based on the intelligent analysis terminal, information extraction and processing are performed on the image data to be printed to obtain the resolution of the image to be printed; Based on the intelligent analysis terminal, the required resolution for image printing and the resolution of the image to be printed are determined and processed. If the resolution required for printing the image is greater than the resolution of the image to be printed, the image data does not meet the printing standards and cannot be printed. If the resolution required for printing the image is less than or equal to the resolution of the image to be printed, and the image data meets printing standards, the digital printing press can print the image.

4. The digital printing design data processing method based on data analysis according to claim 1, characterized in that, The process of performing signal conversion on the image data to be printed based on the intelligent analysis terminal to obtain the spectral information of the image data to be printed specifically includes the following steps: If the image data to be printed meets printing standards; Based on the intelligent analysis terminal, the image data to be printed is processed into grayscale to obtain the grayscale image to be printed. Based on the Fast Fourier Transform algorithm, signal conversion is performed on the grayscale image to be printed to obtain the spectral information of the image data to be printed.

5. The digital printing design data processing method based on data analysis according to claim 4, characterized in that, The process of denoising the spectral information of the image data to be printed in the frequency domain based on the intelligent analysis terminal to obtain noise-free image data to be printed specifically includes the following steps: Based on the intelligent analysis terminal, curves are plotted in the frequency domain according to the spectral information of the image data to be printed, and the spectral curve of the image to be printed is obtained. Based on the intelligent analysis terminal, the spectral curve of the image to be printed is processed by function equivalence to determine the spectral function of the image to be printed. Based on the intelligent analysis terminal, noise analysis is performed on the spectral function of the image to be printed to determine the spectral function of the noise. Based on the intelligent analysis terminal, frequency domain denoising and image restoration are performed on the frequency function of the image to be printed according to the frequency function of the noise, so as to obtain noise-free image data to be printed.

6. The digital printing design data processing method based on data analysis according to claim 5, characterized in that, The step of performing noise analysis on the spectral function of the image to be printed based on the intelligent analysis terminal, and determining the spectral function of the noise, specifically includes the following steps: Based on the intelligent analysis terminal, feature extraction processing is performed on the spectral function of the image to be printed to obtain the real and imaginary parts of the image spectral function; Based on the intelligent analysis terminal, the real and imaginary parts of the image spectrum function are calculated and processed to obtain the amplitude spectrum of the image spectrum function; Based on the intelligent analysis terminal, the spectral function of the image to be printed is calculated and processed to obtain the power spectrum of the image spectral function; Based on the intelligent analysis terminal, the amplitude spectrum and power spectrum of the image spectrum function are calculated and analyzed to determine the noise spectrum function.

7. The digital printing design data processing method based on data analysis according to claim 6, characterized in that, The process of calculating and analyzing the amplitude spectrum and power spectrum of the image spectrum function based on the intelligent analysis terminal to determine the noise spectrum function specifically includes the following steps: Based on the intelligent analysis terminal, the amplitude spectrum and power spectrum of the image spectrum function are calculated and processed to obtain the power spectral density of the image spectrum function. Get all noise types in the image; Based on the intelligent analysis terminal, the database system is used to extract data by using all noise types in the image as features, and the noise power features corresponding to all noise types are obtained. Based on the intelligent analysis terminal, the power spectrum of the image spectrum function is analyzed by noise power characteristics and power spectral density of the image spectrum function to determine the type of noise contained in the image and the location of the noise in the power spectrum. Based on an intelligent analysis terminal, the spectral function of the image to be printed is extracted and processed using the type of noise contained in the image and the position of the noise in the power spectrum as features, so as to determine the spectral function of the noise.

8. The digital printing design data processing method based on data analysis according to claim 4, characterized in that, The process of obtaining noise-free image data for printing by performing frequency domain denoising and image restoration based on the frequency spectrum information of the image to be printed using an intelligent analysis terminal includes the following steps: Based on the intelligent analysis terminal, the noise spectrum is obtained by plotting curves in the frequency domain using the noise spectrum function as a reference. Based on the intelligent analysis terminal, the noise spectrum is processed to remove noise from the spectral information of the image to be printed, thereby obtaining the noise-free spectral information of the image to be printed. Based on the inverse Fourier transform algorithm, the noiseless spectral information of the image to be printed is converted into a signal to obtain noiseless image data to be printed.

9. The digital printing design data processing method based on data analysis according to claim 1, characterized in that, The process of controlling a digital printing press to print noise-free image data based on an intelligent analysis terminal includes the following steps: Based on the intelligent analysis terminal, information is extracted and processed from the image printing task to obtain the number of images printed and the materials used for image printing. Based on the intelligent analysis terminal, the parameters of the digital printing machine are set according to the number of images to be printed, and the materials used for image printing are installed into the digital printing machine. Based on the intelligent analysis terminal, the digital printing press is controlled to print noise-free image data to be printed.

10. A digital printing design data processing system based on data analysis, used to implement the digital printing design data processing method based on data analysis as described in any one of claims 1-9, characterized in that, include: The intelligent analysis terminal controls various modules to preprocess the image data to be printed, determining whether the image data meets printing standards; the intelligent analysis terminal controls various modules to perform signal conversion, spectrum analysis, and frequency domain denoising on the image data to be printed, obtaining noise-free image data to be printed; the intelligent analysis terminal also controls data transmission and information interaction between various modules. The task analysis module is used to analyze and process image printing tasks and determine image printing standards. The image judgment module judges the image data to be printed according to the image printing standards to determine whether the image data to be printed meets the printing standards. An image denoising module is used to perform frequency domain denoising on the image data to be printed, thereby obtaining noise-free image data to be printed.