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

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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Bibliographic Details
Main Authors: Pejman Rasti, Kamal Nasrollahi, Olga Orlova, Gert Tamberg, Cagri Ozcinar, Thomas B. Moeslund, Gholamreza Anbarjafari
Format: Article
Language:English
Published: Wiley 2017-10-01
Series:IET Computer Vision
Subjects:
low-complexity patch
single image super-resolution method
SR method
high-resolution images
HR images
LR images
Online Access:https://doi.org/10.1049/iet-cvi.2016.0463

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