Robust face super-resolution processing method and system driven by edge data
An edge data and super-resolution technology, which is applied in the field of robust face super-resolution processing, can solve problems such as pixel destruction and aliasing, image subspace information is easily damaged, and the effect is not satisfactory. Obvious, good recovery effect
Active Publication Date: 2018-05-29
WUHAN UNIV
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However, when the image quality is very low, the pixels will be severely damaged and aliased, and the subspace information of the image itself will be easily damaged. The image restored by traditional methods is not satisfactory.
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[0044] The invention utilizes the edge information of the image block to enhance the representation ability of the image block. In extremely low-quality images with severe noise or interference, the larger image block centered on the target image block can provide edge information around the target image block, which can reflect the texture structure of the target image block from a more macroscopic perspective. In terms of representation ability, it has a strong robust effect on the interference of pixel noise. Therefore, the present invention introduces edge information as a constraint in the local embedding-based face super-resolution distance measurement and weight assignment framework, and uses the difference ratio to assign weights to enhance noise robustness and improve the objective quality and similarity of restoration results.
[0045] The robustness of the representation ability of edge information to pixel noise interference is specifically: when the image pixels a...
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The invention relates to an edge data driven robustness-based face super-resolution processing method and system. The method includes the following steps that: S1: a training base is constructed; S2: a low-resolution face image to be processed and an image in the training base are divided into image blocks with overlapping parts through adopting same blocking mode; S3: corresponding edge constraint blocks are extracted from the image blocks in the low-resolution face image in the training base and the low-resolution face image to be processed; S4: a reconstruction coefficient of the image blocks in the low-resolution face image to be processed is generated; S5: the image blocks are recovered according to the reconstruction coefficient, so that high-resolution face image blocks corresponding to the image blocks are obtained; and S6: the high-resolution face image blocks are spliced. With the edge data driven robustness-based face super-resolution processing method and system of the invention adopted, the visual perception of the recovered image can be significantly improved. The method and system are especially suitable for the recovery of face images under low-quality surveillance environments.
Description
technical field [0001] The invention relates to the technical field of image processing and image restoration, in particular to an edge data-driven robust face super-resolution processing method and system. 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. However, due to the existing...
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IPC IPC(8): G06T3/40
CPCG06T3/4053
Inventor 胡瑞敏陈亮韩镇陈军李青卢正杨振国马芸魏雪丽丁新关健
Owner WUHAN UNIV