Minimum-Maximum Exclusive Weighted-Mean Filter with Adaptive Window

Autor:	Changhoon Lee, Jinsung Oh, Younam Kim
Rok vydání:	2005
Předmět:	Noise measurement Applied Mathematics Salt-and-pepper noise Impulse noise Computer Graphics and Computer-Aided Design Adaptive filter Noise Filter design Nonlinear filter Control theory Signal Processing Median filter Electrical and Electronic Engineering Algorithm Mathematics
Zdroj:	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :2451-2454
ISSN:	1745-1337 0916-8508
DOI:	10.1093/ietfec/e88-a.9.2451
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ba7475c53d1ec82a2c74fe8c45c966bb https://doi.org/10.1093/ietfec/e88-a.9.2451 Zobrazit plný text záznamu