Minimum-Maximum Exclusive Weighted-Mean Filter with Adaptive Window

Jinsung OH  Changhoon LEE  Younam KIM  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E88-A   No.9   pp.2451-2454
Publication Date: 2005/09/01
Online ISSN: 
DOI: 10.1093/ietfec/e88-a.9.2451
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Digital Signal Processing
median filter,  rank-order filter,  impulse noise,  

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In this paper, we present a minimum-maximum exclusive weighted-mean filtering algorithm with adaptive window. Image pixels within the varying size of the window are ranked and classified as minimum-maximum and median levels, and then passed through the weighted-mean of median level and identity filters, respectively. The filtering window size is adaptively increasing according to noise ratio without noise measurement. Extensive simulations show that the proposed filter performs better than other median/rank-type filters in removing impulse noise of highly corrupted images.