A New Efficient Impulse Detection Algorithm for the Removal of Impulse Noise
Summary :
A new impulse noise detection algorithm is presented, which can successfully remove impulse noise from corrupted images while preserving image details. The impulse detection algorithm is combined with median filtering to achieve noise removal. The main advantage of the proposed algorithm is that it can detect the impulse noise with high accuracy while reducing the probability of detecting image details as impulses. Also, it can be applied iteratively to improve the quality of restored images. It is efficient and low in complexity. Furthermore, it requires no previous training. Extensive experimental results show that the proposed approach significantly outperforms many well-known techniques.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.10 pp.2579-2586
- Publication Date
- 2005/10/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.10.2579
- Type of Manuscript
- Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
- Category
Authors
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Wenbin LUO, "A New Efficient Impulse Detection Algorithm for the Removal of Impulse Noise" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 10, pp. 2579-2586, October 2005, doi: 10.1093/ietfec/e88-a.10.2579.
Abstract: A new impulse noise detection algorithm is presented, which can successfully remove impulse noise from corrupted images while preserving image details. The impulse detection algorithm is combined with median filtering to achieve noise removal. The main advantage of the proposed algorithm is that it can detect the impulse noise with high accuracy while reducing the probability of detecting image details as impulses. Also, it can be applied iteratively to improve the quality of restored images. It is efficient and low in complexity. Furthermore, it requires no previous training. Extensive experimental results show that the proposed approach significantly outperforms many well-known techniques.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.10.2579/_p
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@ARTICLE{e88-a_10_2579,
author={Wenbin LUO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A New Efficient Impulse Detection Algorithm for the Removal of Impulse Noise},
year={2005},
volume={E88-A},
number={10},
pages={2579-2586},
abstract={A new impulse noise detection algorithm is presented, which can successfully remove impulse noise from corrupted images while preserving image details. The impulse detection algorithm is combined with median filtering to achieve noise removal. The main advantage of the proposed algorithm is that it can detect the impulse noise with high accuracy while reducing the probability of detecting image details as impulses. Also, it can be applied iteratively to improve the quality of restored images. It is efficient and low in complexity. Furthermore, it requires no previous training. Extensive experimental results show that the proposed approach significantly outperforms many well-known techniques.},
keywords={},
doi={10.1093/ietfec/e88-a.10.2579},
ISSN={},
month={October},}
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TY - JOUR
TI - A New Efficient Impulse Detection Algorithm for the Removal of Impulse Noise
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2579
EP - 2586
AU - Wenbin LUO
PY - 2005
DO - 10.1093/ietfec/e88-a.10.2579
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2005
AB - A new impulse noise detection algorithm is presented, which can successfully remove impulse noise from corrupted images while preserving image details. The impulse detection algorithm is combined with median filtering to achieve noise removal. The main advantage of the proposed algorithm is that it can detect the impulse noise with high accuracy while reducing the probability of detecting image details as impulses. Also, it can be applied iteratively to improve the quality of restored images. It is efficient and low in complexity. Furthermore, it requires no previous training. Extensive experimental results show that the proposed approach significantly outperforms many well-known techniques.
ER -
English
