Color image filtering based on impulsive noise detection

Dehua Li; Lianghai Jin; Xingzhong Yao; Caiquan Xiong

doi:10.1117/12.750925

15 November 2007 Color image filtering based on impulsive noise detection

Dehua Li, Lianghai Jin, Xingzhong Yao, Caiquan Xiong

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67860M (2007) https://doi.org/10.1117/12.750925
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Dehua Li, Lianghai Jin, Xingzhong Yao, and Caiquan Xiong "Color image filtering based on impulsive noise detection", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860M (15 November 2007); https://doi.org/10.1117/12.750925

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KEYWORDS

Image filtering

Digital filtering

Optical filters

Image quality

RGB color model

Switching

Color difference

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