Low-quality face image enhancement method, system and device, and storage medium

Abstract

The invention provides a low-quality face image enhancement method, system and device, and a storage medium. The method comprises the following steps: synthesizing a low-quality face image based on animage processing method; calculating a face weight matrix of the low-quality face image with respect to a five-sense-organ area of the low-quality face image; constructing a deep neural network, fitting parameters by using the low-quality face image, the real image and the corresponding face weight matrix as a training set, and generating an image enhancement model; and processing the input low-quality face image by using the image enhancement model to enhance the low-quality face image of the image. Low-quality face images caused by various reasons in a real environment are simulated by synthesizing the low-quality face images, so that the universality of the generated image enhancement model is improved; in the face recognition process, the GAN model is trained by using the supervisionsignal of the face feature similarity, so that the face recognition performance in a low-quality face image scene is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a low-quality face image enhancement method, system, device and storage medium. Background technique [0002] With the improvement of face recognition performance, face recognition technology has gradually landed and applied to various fields of reality. The face recognition system generally needs to collect or capture the on-site photos of the target person in the application scene, and extract the facial features together with the photo of the person's ID card or the photos in the search library. The degree of similarity realizes face recognition. [0003] However, in some application scenarios, due to factors such as uncontrollable on-site environment and inability of users to cooperate, high-quality face photos are often not captured, which affects the extraction of face features and the comparison of face similarity . Low-quality images refer to situation...

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Problems solved by technology

[0004] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a low-quality face image enhancement method, system, equipment and storage medium, which is used to solve the problem of enhancing low-quality face images in the prior art to enhance the facial features. The problem of recognition accuracy

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