Sensitivity Decouple Learning for Image Compression Artifacts Reduction

arXiv:2405.09291v1 Announce Type: new
Abstract: With the benefit of deep learning techniques, recent researches have made significant progress in image compression artifacts reduction. Despite their improved performances, prevailing methods only focus on learning a mapping from the compressed image to the original one but ignore the intrinsic attributes of the given compressed images, which greatly harms the performance of downstream parsing tasks. Different from these methods, we propose to decouple the intrinsic attributes into two complementary features for artifacts reduction,ie, …

abstract arxiv attributes benefit compression cs.ai cs.cv deep learning deep learning techniques eess.iv focus image intrinsic mapping performances progress sensitivity type