Explicit local segmentation based impulsive noise reduction for color images

Explicit local segmentation based impulsive noise reduction for color images

Phu, M, Tischer, P and Wu, H 2005, 'Explicit local segmentation based impulsive noise reduction for color images', in K. N. Ngan and W. C. Siu (ed.) Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, Hong Kong, 13-16 December 2005, pp. 657-660.

Document type:	Conference Paper
Collection:	Conference Papers

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Title	Explicit local segmentation based impulsive noise reduction for color images
Author(s)	Phu, M Tischer, P Wu, H
Year	2005
Conference name	International Symposium on Intelligent Signal Processing and Communication Systems
Conference location	Hong Kong
Conference dates	13-16 December 2005
Proceedings title	Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems
Editor(s)	K. N. Ngan W. C. Siu
Publisher	IEEE
Place of publication	Hong Kong
Start page	657
End page	660
Abstract	A family of local segmentation vector filters for color image noise suppression and detail preservation is proposed. Most state-of-the-art filters alleviate impulse noise well but tend to destroy thin lines, edges and fine image details. The proposed filters facilitate local segmentation to preserve image structures and noise suppression. First the K-VMF is developed and used for local segmentation, and then a selection of vector filters is used to reconstruct the current pixel. In addition, once pixels have been marked as being noisy, their values are not used in processing subsequent pixels. The proposed filters also demonstrated acceptable results for both objective and subjective assessments.
Subjects	Image Processing
Keyword(s)	segmentation image filtering
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