Research on Image Restoration Technology Based on Generative Adversarial Networks
Generative Adversarial Network is a deep learning model consisting of generators and discriminators,which compete with each other to improve the quality of generated images.The generator is responsible for generating images that are close to reality,while the discriminator at-tempts to distinguish between the generated image and the real image.This structure makes GAN particularly suitable for image restoration techniques,which can effectively restore dam-aged or incomplete images.Due to its powerful learning ability,GAN has demonstrated signifi-cant results in various fields such as natural image editing and old photo restoration.This article discusses in detail the application of generative adversarial networks in the field of image resto-ration,including network structure,training process,and specific design of generators and dis-criminators.The effectiveness of the proposed method in real-time image restoration technology was verified through comparative experiments,and the potential and effectiveness of the tech-nology in practical applications were demonstrated through technical testing.
Generative Adversarial NetworkImage Restoration Technologytechnical study
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