Single Image High Resolution Using L2-Regularization

Authors(1) :-Varsha Patil

Research on single image super resolution, which consists of improving a high-resolution image from its blurred, decimated and noisy version. The purpose of this review paper is to provide the knowledge of image enhancement or image scaling up and estimating a high-resolution image from a low-resolution image.

Authors and Affiliations

Varsha Patil
Electronics and instrumentation Engineering, Dayananda Sagar College Of Engineering, Bengaluru, Karnataka, India

Single Image Super-Resolution, Sparse Optimization, Single Image Super-Resolution, Deconvolution, Decimation

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Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 640-642
Manuscript Number : CSEIT1846120
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Varsha Patil, "Single Image High Resolution Using L2-Regularization", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.640-642, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1846120

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