Research on Denoising Technology of Generative Adversarial Networks (GAN) Based on Big Data

摘要

At present, there are more and more urgent demands to realize image/video adaptive enhancement inmany different fields. In the case of large data, it is of great practical significance to study how to removeredundant noise from image/video, design a denoising image restoration technology based on large dataantagonism generation network, and realize image/video enhancement technology in many fields. This papermainly studies the further improvement and optimization of GAN, including image denoising oriented GAN modelconstruction, GAN model improvement and training optimization, mobile phone image enhancement based onlarge data, etc. The experimental results show that GAN network denoising technology has been successfullyapplied in many image processing applications.