Global optimization image completion processing based on generative countermeasure network

Abstract

In order to improve image clarity and ensure image processing effects, a global optimization image completion method based on generative confrontation network is proposed. The defect area of the image is collected and detected, and the feature changes of the globally optimized image are analyzed, thereby effectively de-noising the image information and effectively improving the image quality. Finally, experiments show that the global optimization image completion processing method based on the generative confrontation network can better improve the image definition and has high practicability.