Learning nonlocal sparse and low-rank models for image compressive sensing: nonlocal sparse and low-rank modeling

• المؤلفون الرئيسيون: Zha, Zhiyuan, Wen, Bihan, Yuan, Xin, Ravishankar, Saiprasad, Zhou, Jiantao, Zhu, Ce
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Compressive Sensing; Computational Imaging
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/170135
• المؤسسة: Nanyang Technological University

The compressive sensing (CS) scheme exploits many fewer measurements than suggested by the Nyquist–Shannon sampling theorem to accurately reconstruct images, which has attracted considerable attention in the computational imaging community. While classic image CS schemes employ sparsity using analyt...