Year: 2012
Numerical Mathematics: Theory, Methods and Applications, Vol. 5 (2012), Iss. 2 : pp. 260–277
Abstract
We propose an efficient gradient-type algorithm to solve the fourth-order LLT denoising model for both gray-scale and vector-valued images. Based on the primal-dual formulation of the original nondifferentiable model, the new algorithm updates the primal and dual variables alternately using the gradient descent/ascent flows. Numerical examples are provided to demonstrate the superiority of our algorithm.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/nmtma.2012.m1047
Numerical Mathematics: Theory, Methods and Applications, Vol. 5 (2012), Iss. 2 : pp. 260–277
Published online: 2012-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 18
Keywords: LLT model image denoising primal-dual.
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Primal–dual algorithm based on Gauss–Seidel scheme with application to multiplicative noise removal
Chen, Dai-Qiang
Du, Xin-Peng
Zhou, Yan
Journal of Computational and Applied Mathematics, Vol. 292 (2016), Iss. P.609
https://doi.org/10.1016/j.cam.2015.04.003 [Citations: 8]