Image recovery via transform learning and low-rank modeling: the power of complementary regularizers

• المؤلفون الرئيسيون: Wen, Bihan, Li, Yanjun, Bresler, Yoram
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Sparse Representation; Image Denoising
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/161037
• المؤسسة: Nanyang Technological University

Recent works on adaptive sparse and on low-rank signal modeling have demonstrated their usefulness in various image/video processing applications. Patch-based methods exploit local patch sparsity, whereas other works apply low-rankness of grouped patches to exploit image non-local structures. Howeve...