Movement Awareness-Adaptive Spatio Temporal Noise Reduction in Video
Summary :
In this letter, we present an efficient video matching-based denoising method. Two main issues are addressed in this paper: the matched points and the denoising algorithm based on an adaptive spatial temporal filter. Unlike previous algorithms, our method adaptively selects reference pixels within spatially and temporally neighboring frames. Our method uses more information about matched pixels on neighboring frames than other methods. Therefore, the proposal enhanced the accuracy of video denoising. Simulation results show that the proposed method produces cleaner and sharper images.
- Publication
- IEICE TRANSACTIONS on Information Vol.E97-D No.2 pp.380-383
- Publication Date
- 2014/02/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E97.D.380
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Sangwoo AHN
Hanyang University
Jongjoo PARK
Hanyang University
Linbo LUO
China University of Geosciences
Jongwha CHONG
Hanyang University
Keyword
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Sangwoo AHN, Jongjoo PARK, Linbo LUO, Jongwha CHONG, "Movement Awareness-Adaptive Spatio Temporal Noise Reduction in Video" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 2, pp. 380-383, February 2014, doi: 10.1587/transinf.E97.D.380.
Abstract: In this letter, we present an efficient video matching-based denoising method. Two main issues are addressed in this paper: the matched points and the denoising algorithm based on an adaptive spatial temporal filter. Unlike previous algorithms, our method adaptively selects reference pixels within spatially and temporally neighboring frames. Our method uses more information about matched pixels on neighboring frames than other methods. Therefore, the proposal enhanced the accuracy of video denoising. Simulation results show that the proposed method produces cleaner and sharper images.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.380/_p
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@ARTICLE{e97-d_2_380,
author={Sangwoo AHN, Jongjoo PARK, Linbo LUO, Jongwha CHONG, },
journal={IEICE TRANSACTIONS on Information},
title={Movement Awareness-Adaptive Spatio Temporal Noise Reduction in Video},
year={2014},
volume={E97-D},
number={2},
pages={380-383},
abstract={In this letter, we present an efficient video matching-based denoising method. Two main issues are addressed in this paper: the matched points and the denoising algorithm based on an adaptive spatial temporal filter. Unlike previous algorithms, our method adaptively selects reference pixels within spatially and temporally neighboring frames. Our method uses more information about matched pixels on neighboring frames than other methods. Therefore, the proposal enhanced the accuracy of video denoising. Simulation results show that the proposed method produces cleaner and sharper images.},
keywords={},
doi={10.1587/transinf.E97.D.380},
ISSN={1745-1361},
month={February},}
Copy
TY - JOUR
TI - Movement Awareness-Adaptive Spatio Temporal Noise Reduction in Video
T2 - IEICE TRANSACTIONS on Information
SP - 380
EP - 383
AU - Sangwoo AHN
AU - Jongjoo PARK
AU - Linbo LUO
AU - Jongwha CHONG
PY - 2014
DO - 10.1587/transinf.E97.D.380
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2014
AB - In this letter, we present an efficient video matching-based denoising method. Two main issues are addressed in this paper: the matched points and the denoising algorithm based on an adaptive spatial temporal filter. Unlike previous algorithms, our method adaptively selects reference pixels within spatially and temporally neighboring frames. Our method uses more information about matched pixels on neighboring frames than other methods. Therefore, the proposal enhanced the accuracy of video denoising. Simulation results show that the proposed method produces cleaner and sharper images.
ER -
English
