Simultaneous image fusion and denoising with adaptive sparse representation (Englisch)
Freier Zugriff
- Neue Suche nach: Liu, Yu
- Neue Suche nach: Wang, Zengfu
- Neue Suche nach: Liu, Yu
- Neue Suche nach: Wang, Zengfu
In:
IET Image Processing
;
9
, 5
;
347-357
;
2015
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Simultaneous image fusion and denoising with adaptive sparse representation
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Beteiligte:Liu, Yu ( Autor:in ) / Wang, Zengfu ( Autor:in )
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Erschienen in:IET Image Processing ; 9, 5 ; 347-357
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:01.05.2015
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Format / Umfang:11 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:image classification , potential visual artefacts , image fusion , high computational cost , learning (artificial intelligence) , image representation , ASR model , gradient information , signal reconstruction requirement , single redundant dictionary learning , multimodal image sets , image reconstruction , visual quality , simultaneous image fusion , high-quality image patches , source image patches , objective assessment , image denoising , multifocus image sets , compact sub-dictionaries , adaptive sparse representation , signal modelling technique , image processing
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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