Comparative Analysis of the Prox Penalty and Bregman Algorithms for Image Denoising

An adaptive method for image restoration based on high-order total variation and inverse gradient

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The Robustness of Proximal penalty algorithms in Restoration of noisy Image

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Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle–Pock algorithm

(2012) Emil Y Sidky et al.   PHYSICS IN MEDICINE AND BIOLOGY

Proximity algorithms for image models: denoising

(2011) Charles A Micchelli et al.   INVERSE PROBLEMS

Primal and Dual Bregman Methods with Application to Optical Nanoscopy

(2010) Christoph Brune et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A fast algorithm for the total variation model of image denoising

(2009) Rong-Qing Jia et al.   ADVANCES IN COMPUTATIONAL MATHEMATICS

Convergence analysis of the Bregman method for the variational model of image denoising

(2009) Rong-Qing Jia et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

Split Bregman Methods and Frame Based Image Restoration

(2009) Jian-Feng Cai et al.   MULTISCALE MODELING & SIMULATION

The Split Bregman Method for L1-Regularized Problems

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