For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
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
Publication Date: 2005/09/01
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Digital Signal Processing
median filter, rank-order filter, impulse noise,
Full Text: PDF>>
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.