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Reducible dictionaries for single image super-resolution based on patch matching and mean shifting

[+] Author Affiliations
Pejman Rasti

University of Tartu, Institute of Technology, iCV Research Group, Tartu, Estonia

Kamal Nasrollahi, Thomas B. Moeslund

Aalborg University, Visual Analysis of People Laboratory, Aalborg, Denmark

Olga Orlova, Gert Tamberg

Tallinn University of Technology, School of Science, Division of Mathematics, Department of Cybernetics, Tallinn, Estonia

Gholamreza Anbarjafari

University of Tartu, Institute of Technology, iCV Research Group, Tartu, Estonia

Hasan Kalyoncu University, Department of Electrical and Electronic Engineering, Gaziantep, Turkey

J. Electron. Imaging. 26(2), 023024 (Apr 22, 2017). doi:10.1117/1.JEI.26.2.023024
History: Received December 24, 2016; Accepted April 7, 2017
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Abstract.  A single-image super-resolution (SR) method is proposed. The proposed method uses a generated dictionary from pairs of high resolution (HR) images and their corresponding low resolution (LR) representations. First, HR images and the corresponding LR ones are divided into patches of HR and LR, respectively, and then they are collected into separate dictionaries. Afterward, when performing SR, the distance between every patch of the input LR image and those of available LR patches in the LR dictionary is calculated. The minimum distance between the input LR patch and those in the LR dictionary is taken, and its counterpart from the HR dictionary is passed through an illumination enhancement process. By this technique, the noticeable change of illumination between neighbor patches in the super-resolved image is significantly reduced. The enhanced HR patch represents the HR patch of the super-resolved image. Finally, to remove the blocking effect caused by merging the patches, an average of the obtained HR image and the interpolated image obtained using bicubic interpolation is calculated. The quantitative and qualitative analyses show the superiority of the proposed technique over the conventional and state-of-art methods.

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Citation

Pejman Rasti ; Kamal Nasrollahi ; Olga Orlova ; Gert Tamberg ; Thomas B. Moeslund, et al.
"Reducible dictionaries for single image super-resolution based on patch matching and mean shifting", J. Electron. Imaging. 26(2), 023024 (Apr 22, 2017). ; http://dx.doi.org/10.1117/1.JEI.26.2.023024


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