Convergence of Proximal Iteratively Reweighted Nuclear Norm Algorithm for Image Processing

DOI10.1109/TIP.2017.2745200zbMath1409.94567DBLPjournals/tip/SunJC17WikidataQ45946003 ScholiaQ45946003MaRDI QIDQ4619152

Hao Jiang, Tao Sun, Li-Zhi Cheng

Publication date: 5 February 2019

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (6)

A fast proximal iteratively reweighted nuclear norm algorithm for nonconvex low-rank matrix minimization problems ⋮ A new nonlocal low-rank regularization method with applications to magnetic resonance image denoising ⋮ Image cartoon-texture decomposition by a generalized non-convex low-rank minimization method ⋮ Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm ⋮ Sequence Convergence of Inexact Nonconvex and Nonsmooth Algorithms with More Realistic Assumptions ⋮ Parameter estimation for a special class of nonlinear systems by using the over-parameterisation method and the linear filter

This page was built for publication: Convergence of Proximal Iteratively Reweighted Nuclear Norm Algorithm for Image Processing