An adaptive fixed-point proximity algorithm for solving total variation denoising models

DOI10.1016/j.ins.2017.03.023zbMath1454.94018OpenAlexW2597595022MaRDI QIDQ2293175

Xing-Hua Hao, Jin-He Wang, Fan-Yun Meng, Li-Ping Pang

Publication date: 7 February 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2017.03.023

zbMATH Keywords

image denoisingsplit Bregmanfixed-point algorithmROF total variation

Mathematics Subject Classification ID

Convex programming (90C25) Numerical methods for wavelets (65T60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items

Tripled fuzzy metric spaces and fixed point theorem ⋮ Multi-band weighted \(l_p\) norm minimization for image denoising ⋮ Kernel Wiener filtering model with low-rank approximation for image denoising ⋮ Image multiplicative denoising using adaptive Euler's elastica as the regularization

Uses Software

• UNLocBoX

Cites Work

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