Image denoising by low-rank approximation with estimation of noise energy distribution in SVD domain (Englisch)
Freier Zugriff
- Neue Suche nach: Fan, Linwei
- Neue Suche nach: Meng, Ran
- Neue Suche nach: Guo, Qiang
- Neue Suche nach: Shi, Miaowen
- Neue Suche nach: Zhang, Caiming
- Neue Suche nach: Fan, Linwei
- Neue Suche nach: Meng, Ran
- Neue Suche nach: Guo, Qiang
- Neue Suche nach: Shi, Miaowen
- Neue Suche nach: Zhang, Caiming
In:
IET Image Processing
;
13
, 4
;
680-691
;
2019
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Image denoising by low-rank approximation with estimation of noise energy distribution in SVD domain
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Beteiligte:Fan, Linwei ( Autor:in ) / Meng, Ran ( Autor:in ) / Guo, Qiang ( Autor:in ) / Shi, Miaowen ( Autor:in ) / Zhang, Caiming ( Autor:in )
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Erschienen in:IET Image Processing ; 13, 4 ; 680-691
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:07.03.2019
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Format / Umfang:12 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:SVD domain , singular value decomposition , wavelet transforms , noise standard deviation estimation approach , residual noise , noise-free image , energy characteristics , original image , signal denoising , different noise levels , singular value decomposition domain , image tasks , low-rank approximation theory , noisy images , singular values , image denoising , novel denoising method , noise energy distribution , low-rank property , approximation theory
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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