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Journal of Electronic Imaging

Quaternion-based color image filtering for impulsive noise suppression
Author(s): Lianghai Jin; Hong Liu; Xiangyang Xu; Enmin Song
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Paper Abstract

It is difficult to precisely detect all impulsive noise in color images due to the nonstationarity caused by edges and fine details. For many pixels, we can not absolutely classify them as noisy or noise-free, but can only describe them using the likelihood that they are corrupted by impulsive noise. Based on this consideration, we present a new filtering solution to removing impulsive noise from color images. The proposed method first utilizes the unit transforms of quaternions to represent the chromaticity difference of two color pixels, and then divides the image into noise-free and possible noisy pixels. Finally it performs adaptive weighted vector median filtering operations on only the possible noisy pixels to suppress noise. The new weighting mechanism is based on a joint spatial/quaternion-chromaticity criterion, which ensures that pixels with different contamination likelihoods have different contributions to the filter's output. The extensive simulation results indicate that the proposed method significantly outperforms some other well-known multichannel filtering techniques.

Paper Details

Date Published: 1 October 2010
PDF: 12 pages
J. Electron. Imaging. 19(4) 043003 doi: 10.1117/1.3491498
Published in: Journal of Electronic Imaging Volume 19, Issue 4
Show Author Affiliations
Lianghai Jin, Huazhong Univ. of Science and Technology (China)
Hong Liu, Huazhong Univ. of Science and Technology (China)
Xiangyang Xu, Huazhong Univ. of Science and Technology (China)
Enmin Song, Huazhong Univ. of Science and Technology (China)

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