Exploiting non-local priors via self-convolution for highly-efficient image restoration

• Main Authors: Guo, Lanqing, Zha, Zhiyuan, Ravishankar, Saiprasad, Wen, Bihan
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Image Restoration; Block Matching
• Online Access: https://hdl.handle.net/10356/162130
• Institution: Nanyang Technological University

Constructing effective priors is critical to solving ill-posed inverse problems in image processing and computational imaging. Recent works focused on exploiting non-local similarity by grouping similar patches for image modeling, and demonstrated state-of-the-art results in many image restoration a...