IEICE TRANSACTIONS on Fundamentals
Enhanced Non-Local Means Denoising Algorithm Using Weighting Function with Switching Norm
Summary :
This letter introduces a non-local means (NLM) denoising algorithm that uses a weight function based on a switching norm. The noise level and local activity are incorporated into the NLM denoising algorithm which enhances performance. This is done by selecting a norm among l1, l2, and l4 norms to determine a weighting function. The experimental results show the capability of the proposed algorithm. In addition, the proposed algorithm is verified as effective for enhancing the performance of other NLM algorithms.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E99-A No.11 pp.2089-2094
- Publication Date
- 2016/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E99.A.2089
- Type of Manuscript
- LETTER
- Category
- Image
Authors
JongGeun OH
Soongsil University
DongYoung KIM
Soongsil University
Min-Cheol HONG
Soongsil University
Keyword
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JongGeun OH, DongYoung KIM, Min-Cheol HONG, "Enhanced Non-Local Means Denoising Algorithm Using Weighting Function with Switching Norm" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 11, pp. 2089-2094, November 2016, doi: 10.1587/transfun.E99.A.2089.
Abstract: This letter introduces a non-local means (NLM) denoising algorithm that uses a weight function based on a switching norm. The noise level and local activity are incorporated into the NLM denoising algorithm which enhances performance. This is done by selecting a norm among l1, l2, and l4 norms to determine a weighting function. The experimental results show the capability of the proposed algorithm. In addition, the proposed algorithm is verified as effective for enhancing the performance of other NLM algorithms.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.2089/_p
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@ARTICLE{e99-a_11_2089,
author={JongGeun OH, DongYoung KIM, Min-Cheol HONG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Enhanced Non-Local Means Denoising Algorithm Using Weighting Function with Switching Norm},
year={2016},
volume={E99-A},
number={11},
pages={2089-2094},
abstract={This letter introduces a non-local means (NLM) denoising algorithm that uses a weight function based on a switching norm. The noise level and local activity are incorporated into the NLM denoising algorithm which enhances performance. This is done by selecting a norm among l1, l2, and l4 norms to determine a weighting function. The experimental results show the capability of the proposed algorithm. In addition, the proposed algorithm is verified as effective for enhancing the performance of other NLM algorithms.},
keywords={},
doi={10.1587/transfun.E99.A.2089},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Enhanced Non-Local Means Denoising Algorithm Using Weighting Function with Switching Norm
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2089
EP - 2094
AU - JongGeun OH
AU - DongYoung KIM
AU - Min-Cheol HONG
PY - 2016
DO - 10.1587/transfun.E99.A.2089
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2016
AB - This letter introduces a non-local means (NLM) denoising algorithm that uses a weight function based on a switching norm. The noise level and local activity are incorporated into the NLM denoising algorithm which enhances performance. This is done by selecting a norm among l1, l2, and l4 norms to determine a weighting function. The experimental results show the capability of the proposed algorithm. In addition, the proposed algorithm is verified as effective for enhancing the performance of other NLM algorithms.
ER -
English
