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Quaternion-based color image filtering for impulsive noise suppression

[+] Author Affiliations
Lianghai Jin

Huazhong University of Science and Technology, School of Computer Science and Technology and Key Laboratory of Education Ministry for Image Processing and Intelligent Control, Wuhan 430074, China

Hong Liu

Huazhong University of Science and Technology, School of Computer Science and Technology and Key Laboratory of Education Ministry for Image Processing and Intelligent Control, Wuhan 430074, China

Xiangyang Xu

Huazhong University of Science and Technology, School of Computer Science and Technology and Key Laboratory of Education Ministry for Image Processing and Intelligent Control, Wuhan 430074, China

Enmin Song

Huazhong University of Science and Technology, School of Computer Science and Technology and Key Laboratory of Education Ministry for Image Processing and Intelligent Control, Wuhan 430074, China

J. Electron. Imaging. 19(4), 043003 (December 09, 2010). doi:10.1117/1.3491498
History: Received December 02, 2009; Revised June 16, 2010; Accepted August 12, 2010; Published December 09, 2010; Online December 09, 2010
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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.

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© 2010 SPIE and IS&T

Citation

Lianghai Jin ; Hong Liu ; Xiangyang Xu and Enmin Song
"Quaternion-based color image filtering for impulsive noise suppression", J. Electron. Imaging. 19(4), 043003 (December 09, 2010). ; http://dx.doi.org/10.1117/1.3491498


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