A Fourth Order Dual Method for Iteration Regularization with H-1 Fidelity Based Denoising
Year: 2007
Journal of Information and Computing Science, Vol. 2 (2007), Iss. 3 : pp. 172–178
Abstract
In this paper, we propose iterative regularization for image denoising problems, based on the total variation minimizing models proposed by Rudin, Osher, and Fatemi(ROF). Besides, considering the staircase occuring in the process of denoising, we combine the higher order derivatives, and use iterative scheme. The fourth order dual method is used to solve the minimization problems. The numerical experiments show the iterative procedure preserves more details and reduces staircasing. Besides, it can be claimed that the fourth order dual method is more faster and stable than time marching algorithms.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22795
Journal of Information and Computing Science, Vol. 2 (2007), Iss. 3 : pp. 172–178
Published online: 2007-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 7