An Extended Reweighted ℓ1 Minimization Algorithm for Image Restoration

This paper proposes an effective extended reweighted ℓ1 minimization algorithm (ERMA) to solve the basis pursuit problem minu∈Rn{||u||1:Au=f} in compressed sensing, where A∈Rm×n, m≪n. The fast algorithm is based on linearized Bregman iteration with soft thresholding operator and generalized inverse...

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Vydané v:	Mathematics (Basel) Ročník 9; číslo 24; s. 3224
Hlavní autori:	Huang, Sining, Chen, Yupeng, Qiao, Tiantian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.12.2021
Predmet:	Algorithms Food science Generalized inverse Image restoration Iterative methods Linear programming Optimization Signal to noise ratio Sparsity
ISSN:	2227-7390, 2227-7390
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