DocumentCode :
466834
Title :
Application of the Rough Set to Image Median Denoising
Author :
Bo, Chen ; Zexun, Geng ; Yang, Yang ; Xiaosong, Liu
Author_Institution :
Inf. Eng. Univ. of PLA, Zhengzhou
Volume :
1
fYear :
2007
fDate :
July 30 2007-Aug. 1 2007
Firstpage :
75
Lastpage :
78
Abstract :
Image denoising that is a kind of basal pre- treatment can improve visual effect of original images. Rough set is a new mathematical tool to deal with problems on vagueness and uncertainty. It is regarded as a soft computation method. Being the same as fuzzy method, genetic algorithm, neural networks, it is an intellective information processing method. Rough set applies to gray image, and a new image median denoising algorithm based on rough set (RSMD) is proposed in this paper. Comparing experiments are done using classical median denoising (CMD) and the denoising algorithm presented in this paper. Experimental results show that the new algorithm denoising outperforms the classical median denoising.
Keywords :
image denoising; median filters; rough set theory; gray image; image median denoising; intellective information processing method; rough set; soft computation method; Application software; Artificial intelligence; Distributed computing; Image denoising; Noise reduction; Partitioning algorithms; Programmable logic arrays; Software engineering; Uncertainty; Visual effects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
Type :
conf
DOI :
10.1109/SNPD.2007.201
Filename :
4287477
Link To Document :
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