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

• المؤلفون الرئيسيون: Guo, Lanqing, Zha, Zhiyuan, Ravishankar, Saiprasad, Wen, Bihan
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Image Restoration; Block Matching
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/162130

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...