Face image restoration method based on structure and texture dual generation

The invention discloses a face image restoration method based on structure and texture dual generation, relates to the technical field of image restoration, realizes restoration of a damaged face image through a deep learning method, solves the problem of inconsistent structure and texture after face image restoration, and improves the restoration effect of a large-area damaged image. Comprising the following steps: S1, preprocessing an input image to obtain a to-be-restored face image; s2, establishing a face image restoration model based on structure and texture dual generation, and inputting the image obtained in the step S1 into the image restoration model for training; s3, carrying out continuous iterative training until the network is finally converged, and obtaining a face image restoration model; and S4, inputting the damaged face image into the trained face image restoration model to obtain a restored face image. 本发明公开了一种基于结构和纹理对偶生成的人脸图像修复方法，涉及图像修复技术领域，通过深度学习的方法实现对破损人脸图像的修复，解决人脸图像修复后结构和纹理不一致的问题，并提高大面