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Stagewise Training for Hybrid-Distorted Image Restoration

混合失真图像复原的分阶段训练

作     者:侯舒娟 朱文萍 李海 HOU Shujuan;ZHU Wenping;LI Hai

作者机构:School of Information and ElectronicsBeijing Institute of TechnologyBeijing 100081China 

出 版 物:《Journal of Shanghai Jiaotong university(Science)》 (上海交通大学学报(英文版))

年 卷 期:2023年第28卷第6期

页      面:793-801页

核心收录:

学科分类:08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

主  题:image restoration stagewise training hybrid distortion single distortion 

摘      要:Image restoration is the problem of restoring a real degraded *** studies mostly focused on single ***,most of the real images experience multiple distortions,and single distortion image restoration algorithms can not effectively improve the image ***,few existing hybrid distortion image restoration algorithms can not deal with single ***,an end-to-end pipeline network based on stagewise training is proposed in this ***,the network selects three typical image restoration tasks:denoising,inpainting,and super *** whole training process is divided into single distortion training,hybrid distortion training of two types,and hybrid distortion training of three *** design of loss function draws on the idea of deep *** results prove that the proposed method is not only superior to other methods in hybrid-distorted image restoration,but also suitable for single distortion image restoration.

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