DocumentCode :
2976376
Title :
Adaptive working window for impulse noise reduction
Author :
Chen, T.H. ; Huang, S.-F. ; Chen, C.-Y. ; Lin, Z.-H.
Author_Institution :
National Kaohsiung University of Applied Sciences, Taiwan
fYear :
2006
fDate :
18-20 Dec. 2006
Abstract :
We propose an effective method to choose an adaptive working window for impulse noise reduction. Every pixel has the pixel-correlation between itself and its neighbor pixels in an image. Based on the pixel-correlation, we define a formula to gather the statistics for impulse noise intensity estimation. Because the image corrupted by impulse noise would degrade the pixel-correlation, a simple rule is introduced for different median-based filters which are developed with adaptive working window to reduce impulse noise. The reported multi-state median (MSM) filter and switching median (SM) filter are simulated with the simple rule. The experimental results show that our method would improve the reliability of MSM filter and SM filter for impulse noise reduction.
Keywords :
Adaptive filters; Gray-scale; Image processing; Image restoration; Image sensors; Information filtering; Information filters; Noise reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2006. IIH-MSP '06. International Conference on
Conference_Location :
Pasadena, CA, USA
Print_ISBN :
0-7695-2745-0
Type :
conf
DOI :
10.1109/IIH-MSP.2006.265057
Filename :
4041777
Link To Document :
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