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Proceedings Paper

Color image filtering based on impulsive noise detection
Author(s): Dehua Li; Lianghai Jin; Xingzhong Yao; Caiquan Xiong
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Paper Abstract

This paper introduces a new class of switching vector median filter. The proposed algorithm first uses four directional masks to analyze the color difference between the central pixel and its neighborhood pixels in the RGB color space and classify each color pixel into noisy pixel or noise-free one, and then employs the standard vector median filtering operations in the detected noisy locations to restore the corrupted pixels and leave the noise-free ones unchanged. The simulation results show that the proposed method excellently suppresses impulsive noise as well as preserving the image details well, and significantly outperforms the existing vector filtering solutions in terms of both the objective measures and the perceptual visual quality.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860M (15 November 2007); doi: 10.1117/12.750925
Show Author Affiliations
Dehua Li, Huazhong Univ. of Science and Technology (China)
Lianghai Jin, Huazhong Univ. of Science and Technology (China)
Xingzhong Yao, Huazhong Univ. of Science and Technology (China)
The Second Artillery Command College (China)
Caiquan Xiong, Huazhong Univ. of Science and Technology (China)
Hubei Univ. of Technology (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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