Title :
Detail-preserving approach for impulse noise removal from images
Author :
Xiao, Xiaokui ; Li, Shaofa
Author_Institution :
Shenzhen Polytech., China
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;
Conference_Titel :
Computer and Information Technology, 2004. CIT '04. The Fourth International Conference on
Print_ISBN :
0-7695-2216-5
DOI :
10.1109/CIT.2004.1357170