Minimum-Maximum Exclusive Interpolation Filter for Image Denoising
Summary :
In this paper, we present a directional interpolation filter in which the minimum and maximum pixels in the given window are excluded. Image pixels within a predefined window are ranked and classified as minimum-maximum or exclusive level, and then passed through the interpolation and identity filters, respectively. Extensive simulations show that the proposed filter performs better than other nonlinear filters in preserving desired image features while reducing impulse noise effectively.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.6 pp.1228-1231
- Publication Date
- 2007/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e90-a.6.1228
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Keyword
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Jinsung OH, Younam KIM, "Minimum-Maximum Exclusive Interpolation Filter for Image Denoising" in IEICE TRANSACTIONS on Fundamentals,
vol. E90-A, no. 6, pp. 1228-1231, June 2007, doi: 10.1093/ietfec/e90-a.6.1228.
Abstract: In this paper, we present a directional interpolation filter in which the minimum and maximum pixels in the given window are excluded. Image pixels within a predefined window are ranked and classified as minimum-maximum or exclusive level, and then passed through the interpolation and identity filters, respectively. Extensive simulations show that the proposed filter performs better than other nonlinear filters in preserving desired image features while reducing impulse noise effectively.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.6.1228/_p
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@ARTICLE{e90-a_6_1228,
author={Jinsung OH, Younam KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Minimum-Maximum Exclusive Interpolation Filter for Image Denoising},
year={2007},
volume={E90-A},
number={6},
pages={1228-1231},
abstract={In this paper, we present a directional interpolation filter in which the minimum and maximum pixels in the given window are excluded. Image pixels within a predefined window are ranked and classified as minimum-maximum or exclusive level, and then passed through the interpolation and identity filters, respectively. Extensive simulations show that the proposed filter performs better than other nonlinear filters in preserving desired image features while reducing impulse noise effectively.},
keywords={},
doi={10.1093/ietfec/e90-a.6.1228},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - Minimum-Maximum Exclusive Interpolation Filter for Image Denoising
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1228
EP - 1231
AU - Jinsung OH
AU - Younam KIM
PY - 2007
DO - 10.1093/ietfec/e90-a.6.1228
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2007
AB - In this paper, we present a directional interpolation filter in which the minimum and maximum pixels in the given window are excluded. Image pixels within a predefined window are ranked and classified as minimum-maximum or exclusive level, and then passed through the interpolation and identity filters, respectively. Extensive simulations show that the proposed filter performs better than other nonlinear filters in preserving desired image features while reducing impulse noise effectively.
ER -
English
