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A new low‐complexity patch‐based image super‐resolution

In this study, a novel single image super‐resolution (SR) method, which uses a generated dictionary from pairs of high‐resolution (HR) images and their corresponding low‐resolution (LR) representations, is proposed. First, HR and LR dictionaries are created by dividing HR and LR images into patches...

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Bibliografische Detailangaben
Hauptverfasser: Pejman Rasti, Kamal Nasrollahi, Olga Orlova, Gert Tamberg, Cagri Ozcinar, Thomas B. Moeslund, Gholamreza Anbarjafari
Format: Artigo
Sprache:Inglês
Veröffentlicht: Wiley 2017-10-01
Schriftenreihe:IET Computer Vision
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Online-Zugang:https://doi.org/10.1049/iet-cvi.2016.0463
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