Minimum-Maximum Exclusive Weighted-Mean Filter with Adaptive Window

Jinsung OH; Changhoon LEE; Younam KIM

doi:10.1093/ietfec/e88-a.9.2451

Minimum-Maximum Exclusive Weighted-Mean Filter with Adaptive Window

Jinsung OH, Changhoon LEE, Younam KIM

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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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.9 pp.2451-2454

Publication Date: 2005/09/01

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DOI: 10.1093/ietfec/e88-a.9.2451

Type of Manuscript: LETTER

Category: Digital Signal Processing

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Jinsung OH, Changhoon LEE, Younam KIM, "Minimum-Maximum Exclusive Weighted-Mean Filter with Adaptive Window" in IEICE TRANSACTIONS on Fundamentals, vol. E88-A, no. 9, pp. 2451-2454, September 2005, doi: 10.1093/ietfec/e88-a.9.2451.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.9.2451/_p

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@ARTICLE{e88-a_9_2451,
author={Jinsung OH, Changhoon LEE, Younam KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Minimum-Maximum Exclusive Weighted-Mean Filter with Adaptive Window},
year={2005},
volume={E88-A},
number={9},
pages={2451-2454},
abstract={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.},
keywords={},
doi={10.1093/ietfec/e88-a.9.2451},
ISSN={},
month={September},}

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TY - JOUR
TI - Minimum-Maximum Exclusive Weighted-Mean Filter with Adaptive Window
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2451
EP - 2454
AU - Jinsung OH
AU - Changhoon LEE
AU - Younam KIM
PY - 2005
DO - 10.1093/ietfec/e88-a.9.2451
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2005
AB - 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.
ER -