DocumentCode :
2153511
Title :
Noise Removal Using Nonlinear Anisotropic Diffusion Filtering Based on Statistic-Local Open System
Author :
Wu, Weixin ; Liu, Hongchen
Volume :
3
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
372
Lastpage :
378
Abstract :
In this paper a novel nonlinear anisotropic diffusion filter model based on statistic-local open system is proposed. In impulse noise removal using the new model, only estimated noised pixels are processed, unnecessary blurring caused by pure pixels energy diffusion can be reduced. In the new filter model, some pixels are devised as "origin" pixels and "convergence" pixels to make up energy loss and eradicate noise energy. And a newly designed conduction coefficient is adopted to avoid energy flow from noised neighbor pixels. We test the performance in unipolar and bipolar impulse noise removal respectively and compare filtering effect using P-M, Catte, Median and proposed filter. Experimental results demonstrate the improvement in noise removal and edge preservation.
Keywords :
Anisotropic magnetoresistance; Energy loss; Filtering algorithms; Filters; Image restoration; Noise reduction; Open systems; Pixel; Signal processing; Statistics; Nonlinear image filtering; anisotropic diffusion; impulse noise removal; statistic-local open diffusion system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.10
Filename :
4566509
Link To Document :
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