Image deblocking via shape-adaptive low-rank prior and sparsity-based detail enhancement

作者：

Highlights：

• A deblocking method based on internal and external image information is proposed.

• The shape-adaptive low-rank prior is incorporated in the deblocking model.

• The sparsity-based detail enhancement process is adopted to enhance image details.

• The proposed method has superior performance subjectively and objectively.

摘要

•A deblocking method based on internal and external image information is proposed.•The shape-adaptive low-rank prior is incorporated in the deblocking model.•The sparsity-based detail enhancement process is adopted to enhance image details.•The proposed method has superior performance subjectively and objectively.

论文关键词：Image deblocking,Shape-adaptive low-rank prior,Quantization constraint,Detail enhancement

论文评审过程：Received 16 April 2019, Revised 27 December 2019, Accepted 6 May 2020, Available online 15 May 2020, Version of Record 21 May 2020.

论文官网地址：https://doi.org/10.1016/j.image.2020.115874