Translator Disclaimer
1 October 2010 Quaternion-based color image filtering for impulsive noise suppression
Author Affiliations +
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.
©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Lianghai Jin, Hong Liu, Xiangyang Xu, and Enmin Song "Quaternion-based color image filtering for impulsive noise suppression," Journal of Electronic Imaging 19(4), 043003 (1 October 2010).
Published: 1 October 2010


Adaptive multivariate smoothing of satellite image data
Proceedings of SPIE (November 17 1995)
A variety of multichannel sigma filters
Proceedings of SPIE (October 09 2003)
Adaptive neighborhood filters for color image filtering
Proceedings of SPIE (April 06 1998)

Back to Top