Color image restoration using explicit local segmentation

Phu, M, Tischer, P and Wu, H 2005, 'Color image restoration using explicit local segmentation', in J. Carbonell and J. Siekmann (ed.) Proceedings of the Ninth International Conference on Knowledge-Based Intelligent Information and Engineering Systems, Melbourne, Australia, 14-16 September 2005.


Document type: Conference Paper
Collection: Conference Papers

Title Color image restoration using explicit local segmentation
Author(s) Phu, M
Tischer, P
Wu, H
Year 2005
Conference name International Conference on Knowledge-Based Intelligent Information and Engineering Systems
Conference location Melbourne, Australia
Conference dates 14-16 September 2005
Proceedings title Proceedings of the Ninth International Conference on Knowledge-Based Intelligent Information and Engineering Systems
Editor(s) J. Carbonell
J. Siekmann
Publisher Springer
Place of publication Berlin, Germany
Abstract A local segmentation structure is proposed for color image denoising and restoration. Most state-of-the-art filters suppress impulse noise well but tend to destroy thin lines, edges, and high image details. The proposed filters facilitate local segmentation technique to preserve image structures and noise reduction. Firstly, the K-VMF is used for local segmentation and then the selection of vector filters for reconstruction of the current pixel. The proposed filters demonstrated acceptable results for both objective and subjective assessments.
Copyright notice © 2005 Springer-Verlag
ISSN 0302-9743
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