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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2016 Vol.6(4): 225-232 ISSN: 2010-3697
DOI: 10.7763/IJMO.2016.V6.531

Image Super-Resolution Reconstruction Using Adaptive Co-sparse Regularization with Dual Dictionary

Muhammad Sameer Sheikh, Qunsheng Cao, and Caiyun Wang
Abstract—This paper present a new method based on co-sparse with learning paired dictionary. The new framework is consisted of three parts. Firstly a paired dictionary have been learned which is used to overcome a low resolution image by utilizing an externally applied high resolution (HR) dictionary and then learn based on the internal dictionary. Process the paired dictionary which consists of low resolution (LR) and high resolution (HR) dictionary by kernel regression based on their coefficient respectively, and applied directly to construct the HR patches. Secondly, co-sparse regularization and features of self similarity have been introduced to strengthen and enhanced the image structure. In addition, propagation filtering is applied to suppress the artefacts generated from neighboring pixel of an image while reserving the image edges. Finally, the HR image is generated by reconstructing all superior HR patches. The effectiveness of the co-sparse demonstrated in real test images. The proposed method achieved good quality high resolution images that are superior compared with different SR methods in terms of peak signal to noise ratio (PSNR), and structural similarity (SSIM).

Index Terms—Dual dictionary, image resolution, propagation filter, self-similarity.

Muhammad Sameer Sheikh and Qunsheng Cao are with the College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China (e-mail: sameer.5@hotmail.com).
Caiyun Wang is with the College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China.

[PDF]

Cite: Muhammad Sameer Sheikh, Qunsheng Cao, and Caiyun Wang, "Image Super-Resolution Reconstruction Using Adaptive Co-sparse Regularization with Dual Dictionary," International Journal of Modeling and Optimization vol. 6, no. 4, pp. 225-232, 2016.

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