DLS model-based cadre personnel file high-definition processing method and system

Abstract

A DLS model-based high-definition processing method and system for cadre personnel files are disclosed, an image processing DLS model is constructed to record and analyze the image boundary information. The square of L2 norm of the gradient is used as a regular constraint condition to constrain the gradient of the boundary. The regularization denoising algorithm and the image smoothing distribution logic are introduced to minimize the total variation while obtaining the best image. Based on the image processing DLS model, the cadre personnel files are scanned to obtain scanned images and stored, and meanwhile, the scanned images are transmitted to the server for high-definition processing to obtain high-definition images. The invention innovates the image high-definition processing technology, and avoids the problems of image color, shape distortion, discrimination reduction and the like caused by the unreasonable application of the image acquisition technology.

Description

technical field [0001] The invention relates to the technical field of file image processing, in particular to a method and system for high-definition processing of cadre personnel files based on the DLS model. Background technique [0002] While enjoying the convenience brought by modern file management, some problems also appeared one after another with the delay of time. Due to the long-term storage of cadres and personnel files, the original images in the files often have stains, breaks, distortions, shadows, deformations, etc. during the scanning process, resulting in image color and shape distortion in the files, and a decrease in recognition. To a large extent, it adds difficulty to the text recognition work. Therefore, in the process of management of cadres and personnel files, it is necessary to perform image processing on the images in the files, and use digital image processing technology to restore and restore the degraded images to the greatest extent. [0003...

AI Technical Summary

Problems solved by technology

[0005] In the collection and processing of original images of cadres and personnel files that are complex and require high precision in all current file processing systems, one is that the resolution is not high after processing or the image is seriously deformed, and the other is that the processing process is affected by the subjective factors of the operator. Larger, the processed file information is not accurate enough, and the third is that the general image processing technology will compress the image, which makes it difficult to restore and correct the image in the later stage

[0006] In summary, the existing image processing technology cannot meet the requirements for image processing of cadre personnel files

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