Journal article
A Convex Variational Model for Restoring Blurred Images with Multiplicative Noise
In this paper, a new variational model for restoring blurred images with multiplicative noise is proposed. Based on the statistical property of the noise, a quadratic penalty function technique is utilized in order to obtain a strictly convex model under a mild condition, which guarantees the uniqueness of the solution and the stabilization of the algorithm.
For solving the new convex variational model, a primal-dual algorithm is proposed, and its convergence is studied. The paper ends with a report on numerical tests for the simultaneous deblurring and denoising of images subject to multiplicative noise. A comparison with other methods is provided as well.
Language: | English |
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Publisher: | Society for Industrial and Applied Mathematics |
Year: | 2013 |
Pages: | 1598-1625 |
ISSN: | 19364954 |
Types: | Journal article |
DOI: | 10.1137/120870621 |
ORCIDs: | Dong, Yiqiu |