@Article{JCM-43-540,
author = {Chen , MiaoTang , YuchaoZhang , Jie and Zeng , Tieyong},
title = {Proximal ADMM Approach for Image Restoration with Mixed Poisson-Gaussian Noise},
journal = {Journal of Computational Mathematics},
year = {2024},
volume = {43},
number = {3},
pages = {540--568},
abstract = {<p style="text-align: justify;">Image restoration based on total variation has been widely studied owing to its edge-preservation properties. In this study, we consider the total variation infimal convolution
(TV-IC) image restoration model for eliminating mixed Poisson-Gaussian noise. Based on
the alternating direction method of multipliers (ADMM), we propose a complete splitting
proximal bilinear constraint ADMM algorithm to solve the TV-IC model. We prove the
convergence of the proposed algorithm under mild conditions. In contrast with other
algorithms used for solving the TV-IC model, the proposed algorithm does not involve
any inner iterations, and each subproblem has a closed-form solution. Finally, numerical
experimental results demonstrate the efficiency and effectiveness of the proposed algorithm.</p>},
issn = {1991-7139},
doi = {https://doi.org/10.4208/jcm.2212-m2022-0122},
url = {http://global-sci.org/intro/article_detail/jcm/23549.html}
}