Wavelet-Based Single Image Super-Resolution With An Overall Enhancement Procedure

Authors(3) :-K. Surendra, K. Diwakar, M. Satish Kumar

Single image super resolution is vital with a specific end goal to make high resolution picture from given low-resolution. K-SVD/OMP is the method in which there will be sparse representation process in which we obtain lower computational complexity. This method extracts diverse kinds of features in low-resolution image and high-resolution images to create the mapping relation. A single low resolution (LR) is degraded into different sub bands using operators DWT.The initiation of DWT has given a major stimulus to many techniques based on achieving super resolution starting with a single low-resolutionimage. The higher recurrence sub-bandsbesides the inadequate added LR picture are consolidated to give a high determination (HR) picture utilizing opposite discrete wavelet change (IDWT). We proposed a method local Lipschitz regularity constraint for enhancement and structure-keeping constraint to percept the optimization problem in SR. Here we will use same kind of feature for mapping relation. It is reviewed that the higher PSNR is obtained for the proposed technique than the existing methods.

Authors and Affiliations

K. Surendra
MCA Student, Department of DCA, SVCET, Chittoor, Andhra Pradesh, India
K. Diwakar
MCA Student, Department of DCA, SVCET, Chittoor, Andhra Pradesh, India
M. Satish Kumar
Associate Professor, Departmento of DCA, SVCET, And Chittoor, Andhra Pradesh, India

Super Image Super Resolution, Discrete Wavelet Transform, Lipschitz Regularization, Structure-Keeping.

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Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1253-1256
Manuscript Number : CSEIT1833594
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

K. Surendra, K. Diwakar, M. Satish Kumar, "Wavelet-Based Single Image Super-Resolution With An Overall Enhancement Procedure", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.1253-1256, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833594

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