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

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

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...

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Bibliographic Details
Main Authors: Zhang, Junhao, Yap, Kim-Hui, Chau, Lap-Pui, Zhu, Ce
Other Authors: School of Electrical and Electronic Engineering
Format: Journal 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

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