A New Approach to Impulse Noise Removal for Color Image

This paper presents a new two-stage approach to impulse noise removal for color image. The first step is the impulse detection, in which the so-called rank-ordered absolute differences (ROAD) is used to determine whether a pixel is impulsive to be removed. The second step does noise suppression based on maximizing the proposed pixel similarity measure that considers both magnitude and angular information of pixel vectors´ difference. Experimental results show that our method can remove impulse noise effectively, and in the meantime can preserve chromaticity and image details very well.