Nonlocal variational model and filter algorithm to remove multiplicative noise

Daiqiang Chen; Hui Zhang; Lizhi Cheng

doi:10.1117/1.3463019

1 July 2010 Nonlocal variational model and filter algorithm to remove multiplicative noise

Daiqiang Chen, Hui Zhang, Lizhi Cheng

Author Affiliations +

Optical Engineering, Vol. 49, Issue 7, 077002 (July 2010). https://doi.org/10.1117/1.3463019

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.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Daiqiang Chen, Hui Zhang, and Lizhi Cheng "Nonlocal variational model and filter algorithm to remove multiplicative noise," Optical Engineering 49(7), 077002 (1 July 2010). https://doi.org/10.1117/1.3463019

Published: 1 July 2010

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