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Improved Cancellation of Impulse Noise Using Rank-Order Method  

Ko, Kyung-Woo (School of Electrical Engineering and Computer Science, Kyungpook National University)
Lee, Cheol-Hee (Computer Engineering, Andong National University)
Ha, Yeong-Ho (School of Electrical Engineering and Computer Science, Kyungpook National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.46, no.4, 2009 , pp. 9-15 More about this Journal
Abstract
This paper proposes a cancellation algorithm of impulse noise using a rank-order method. The proposed method is a fast and simple algorithm that is composed of two parts. The first part involves noise detection using a fuzzy technique, where an image is divided into RGB color channels. Then every pixel in each color channel is investigated and assigned a probability indicating its chances of being a noise pixel. At this time, the rank order method using a noise-detection mask is utilized for accurate noise detection. Thereafter, the second part involves noise-cancellation, where each noise-pixel value in an image is replaced in proportion to its fuzzy probability. Through the experiments, both the conventional and proposed methods were simulated and compared. As a result, it is shown that proposed method is able to detect noisy pixels more accurately, and produce resulting images with high PSNR values.
Keywords
Rank-order method; fuzzy technique; impulse noise; noise detecting mask;
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