Anti-shielding face super-resolution method and system based on global context prior constraint

Abstract

The invention discloses an anti-shielding face super-resolution method and system based on global context prior constraint. The method comprises the steps of S1, constructing a high-low resolution training library; S2, dividing the low-resolution face image to be processed and the image in the training library into image blocks with overlapped parts by adopting the same blocking mode; S3, calculating the degree of association between the position of each face image block in the high-resolution face image library and the positions of other face image blocks; S4, a correlation degree deletion module, which is used for removing all connections with weak correlation degrees and leaving a specified number of connections with high correlation degrees; S5, traversing and preprocessing each blockposition of the low-resolution face image to be processed, and judging the shielding degree of each block to be processed; S6, recovering each unshielded to-be-processed image block; S7, recovering each shielded image block to be processed; and S8, splicing the high-resolution face image blocks. The method can remarkably improve the visual perception of the recovered image, and is particularly suitable for recovering the face image in a low-quality monitoring environment.

Description

technical field [0001] The invention relates to the technical field of image processing and image restoration, in particular to an anti-occlusion face super-resolution method and system based on global context prior constraints. Background technique [0002] Face super-resolution technology is to learn the corresponding relationship between high and low resolution through the auxiliary training library, and then achieve the purpose of estimating high-resolution face images from existing low-resolution face images. Face super-resolution is now widely used in many fields, one of the most representative fields is face image enhancement in surveillance video. With the widespread popularization of surveillance systems, surveillance video is playing an increasingly important role in the process of criminal evidence collection and criminal investigation. Face images, as one of the direct evidence, occupy an important position in case analysis and court evidence collection. Howeve...

AI Technical Summary

Problems solved by technology

Therefore, although in the process of reconstructing low-quality images in general environments, good results can be obtained, but in the face of severe noise images represented by surveillance, the damage of high-frequency details has led to this kind of high-frequency details as the main consideration. The distance measurement criterion is no longer accurate, which seriously affects the accuracy of the local relationship description. Therefore, the subspace information of the image itself is easily damaged, and the image restored by traditional methods is not satisfactory.

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