Generalized adaptive vector sigma filters

Authors:
R. Lukac;B. Smolka;K. N. Plataniotis;A. N. Venetsanopoulos
Affiliations:
Slovak Image Process. Center, Dobsina, Slovakia;Dept. of Autom., Tsinghua Univ., Beijing, China;Dept. of Autom., Tsinghua Univ., Beijing, China;Dept. of Electron. & Inf. Process., Vrije Univ., Brussels, Belgium
Venue:
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Year:
2003

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Abstract

In this paper we provide a new filtering scheme for the detection and the removal of impulsive noise in digital color images. The proposed adaptive nonlinear vector filters take the advantages of the robust order-statistic theory, generalized directional distance filter and standard sigma filter concept. The principles of the design are explained in detail. Simulation studies indicate that the proposed method is computationally attractive and is able to achieve excellent balance between the image-detail preservation and the noise attenuation.