Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models

Image nonlocal self-similarity (NSS) property has been widely exploited via various sparsity models such as joint sparsity (JS) and group sparse coding (GSC). However, the existing NSS-based sparsity models are either too restrictive, e.g. , JS enforces the sparse codes to share the same support, or...

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Vydané v:	IEEE transactions on image processing Ročník 30; s. 5223 - 5238
Hlavní autori:	Zha, Zhiyuan, Wen, Bihan, Yuan, Xin, Zhou, Jiantao, Zhu, Ce
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptation models adaptive parameter adjustment Algorithms alternating minimization Coding Dictionaries Group sparse coding Image coding Image denoising Image restoration low-rank regularized group sparse coding Mathematical models Minimization Noise reduction Optimization Self-similarity Sparse matrices Sparsity
ISSN:	1057-7149, 1941-0042, 1941-0042
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