An Efficient Proximity Point Algorithm for Total-Variation-Based Image Restoration

DOI10.4208/AAMM.2013.M175zbMath1320.94017OpenAlexW2465065311WikidataQ113052120 ScholiaQ113052120MaRDI QIDQ5498905

Shi Shu, Wei Zhu, Li-Zhi Cheng

Publication date: 11 February 2015

Published in: Advances in Applied Mathematics and Mechanics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4208/aamm.2013.m175

zbMATH Keywords

total variationimage restorationfirst-order schemesproximity point operator

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (4)

A Two-Stage Color Image Segmentation Method Based on Saturation-Value Total Variation ⋮ New regularization method and iteratively reweighted algorithm for sparse vector recovery ⋮ Unnamed Item ⋮ A Total Variation Based Method for Multivariate Time Series Segmentation

Uses Software

• NESTA
• ParNes
• RecPF
• TFOCS

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