Texture enhancement method and device based on texture image, equipment and storage medium

Abstract

The invention relates to a texture enhancement method and device based on a texture image, computer equipment and a storage medium. The method comprises the steps of obtaining a to-be-processed sourcetexture image; performing fitting processing on the source texture image based on the principal component of the sample texture image corresponding to the source texture image to obtain a corresponding fitting texture image, wherein the principal component of the sample texture image is obtained by performing principal component analysis on the sample texture image; carrying out smoothing processing on the fitting texture image to obtain a corresponding smooth texture image, wherein the smoothing processing is used for carrying out noise suppression on the fitting texture image; and performing texture enhancement processing on the smooth texture image through a generator in a generative adversarial network, and outputting a target texture image corresponding to the source texture image. By adopting the method, the texture enhancement effect can be greatly improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a texture image-based texture enhancement method, device, computer equipment and storage medium. Background technique [0002] With the development of computer technology, people's work and life have brought great changes. For example, the original animation production or game production is usually based on flat characters, but now with the development of technology, there are more and more scenes that support three-dimensional characters, so correspondingly, a large number of high-definition texture images are required , such as high-definition facial texture images. [0003] The traditional method of generating high-definition facial texture images usually adopts an adaptive brightness restoration method, that is, uniforms the brightness of the facial image, stretches the heterogeneous histogram, minimizes the distance within the facial background class and ...

AI Technical Summary

Problems solved by technology

However, the traditional texture enhancement method is suitable for poor image quality caused by uneven lighting. It cannot repair image noise or blurred images, and it is difficult to reconstruct detailed texture information such as pores and hair, resulting in texture enhancement effects. bad

Images