Color impulsive noise removal based on quaternion representation and directional vector order-statistics

Authors:
Lianghai Jin;Hong Liu;Xiangyang Xu;Enmin Song
Affiliations:
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China and Key Laboratory of Education Ministry for Image Processing and Intelligent Control, ...;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China and Key Laboratory of Education Ministry for Image Processing and Intelligent Control, ...;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China and Key Laboratory of Education Ministry for Image Processing and Intelligent Control, ...;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China and Key Laboratory of Education Ministry for Image Processing and Intelligent Control, ...
Venue:
Signal Processing
Year:
2011

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Abstract

A new method for detecting and suppressing impulsive noise in color images is presented in this paper. The proposed method is a type of switching vector filters, where the impulse detection is based on the order-statistic information about the color samples in the horizontal, vertical, and diagonal directions. The new solution first uses quaternion-based representation of color differences and median deviation-based techniques to search for the edge direction with the maximum number of similar pixels, and then utilizes the samples aligning with this edge direction to judge whether the current pixel is noisy or not and control the switching between identity (no filtering) and vector median filtering actions. Extensive experimental comparisons exhibit the validity of the proposed approach by showing significant performance improvements over other well-known color image filtering techniques.