DocumentCode
1917113
Title
Detail-preserving approach for impulse noise removal from images
Author
Xiao, Xiaokui ; Li, Shaofa
Author_Institution
Shenzhen Polytech., China
fYear
2004
fDate
14-16 Sept. 2004
Firstpage
28
Lastpage
32
Abstract
An impulse removal algorithm is proposed to overcome the difficulty of detail preservation which is commonly encountered by existing methods. At the impulse detection stage, a directional impulse detection method is employed to avoid the misclassification of thin lines as impulses. As for the noise filtering stage, a hybrid algorithm which combines median-based filtering with pattern matching technique is adopted. Experiments show that the proposed approach outperforms a number of existing algorithms and the improvement on detail preservation is significant.
Keywords
image classification; image denoising; impulse noise; median filters; pattern matching; detail preservation; directional impulse detection; hybrid algorithm; impulse detection stage; impulse noise removal; median-based filtering; noise filtering stage; pattern matching; thin line misclassification; Detectors; Filtering algorithms; Gray-scale; Image restoration; Image texture; Impulse testing; Matched filters; Pattern matching; Pixel; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology, 2004. CIT '04. The Fourth International Conference on
Print_ISBN
0-7695-2216-5
Type
conf
DOI
10.1109/CIT.2004.1357170
Filename
1357170
Link To Document