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Optical Engineering

Nonlocal variational model and filter algorithm to remove multiplicative noise
Author(s): Daiqiang Chen; Hui Zhang; Lizhi Cheng
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Paper Abstract

The nonlocal (NL) means filter proposed by Buades, Coll, and Morel (SIAM Multiscale Model. Simul. 4(2), 490-530, 2005), which makes full use of the redundancy information in images, has shown to be very efficient for image denoising with Gauss noise added. On the basis of the NL method and a striver to minimize the conditional mean-square error, we design a NL means filter to remove multiplicative noise, and combining the NL filter to regularity method, we propose a NL total variational (TV) model and present a fast iterated algorithm for it. Experiments demonstrate that our algorithm is better than TV method; it is superior in preserving small structures and textures and can obtain an improvement in peak signal-to-noise ratio.

Paper Details

Date Published: 1 July 2010
PDF: 7 pages
Opt. Eng. 49(7) 077002 doi: 10.1117/1.3463019
Published in: Optical Engineering Volume 49, Issue 7
Show Author Affiliations
Daiqiang Chen, National Univ. of Defense Technology (China)
Hui Zhang, National Univ. of Defense Technology (China)
Lizhi Cheng, National Univ. of Defense Technology (China)

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