Image compressive sensing reconstruction via nonlocal low-rank residual-based ADMM framework

• Main Authors: Zhang, Junhao, Yap, Kim-Hui, Chau, Lap-Pui, Zhu, Ce
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2025
• Subjects: Computer and Information Science; Image compressive sensing reconstruction; Nonlocal self-similarity
• Online Access: https://hdl.handle.net/10356/182293
• Institution: Nanyang Technological University

The nonlocal low-rank (LR) modeling has proven to be an effective approach in image compressive sensing (CS) reconstruction, which starts by clustering similar patches using the nonlocal self-similarity (NSS) prior into nonlocal image group and then imposes an LR penalty on each nonlocal image group...