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Reseach Article

Image Super-Resolution based on Efficient Novel Two-Stage Super-Resolution Technique

Published on June 2015 by Smita G. Chawhan, V.m. Thakare
National Conference on Recent Trends in Computer Science and Engineering
Foundation of Computer Science USA
MEDHA2015 - Number 3
June 2015
Authors: Smita G. Chawhan, V.m. Thakare
252feebf-5097-4798-95e3-9c8a354f480a

Smita G. Chawhan, V.m. Thakare . Image Super-Resolution based on Efficient Novel Two-Stage Super-Resolution Technique. National Conference on Recent Trends in Computer Science and Engineering. MEDHA2015, 3 (June 2015), 1-4.

@article{
author = { Smita G. Chawhan, V.m. Thakare },
title = { Image Super-Resolution based on Efficient Novel Two-Stage Super-Resolution Technique },
journal = { National Conference on Recent Trends in Computer Science and Engineering },
issue_date = { June 2015 },
volume = { MEDHA2015 },
number = { 3 },
month = { June },
year = { 2015 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/medha2015/number3/21438-8035/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computer Science and Engineering
%A Smita G. Chawhan
%A V.m. Thakare
%T Image Super-Resolution based on Efficient Novel Two-Stage Super-Resolution Technique
%J National Conference on Recent Trends in Computer Science and Engineering
%@ 0975-8887
%V MEDHA2015
%N 3
%P 1-4
%D 2015
%I International Journal of Computer Applications
Abstract

Super resolution increases the resolution of the image. This paper proposes the two stage novel SR method. . In the firststage, of the proposed method first jointly train two dictionaries for the high and low resolution image patches. Then apply a sparse representation for each low-resolution image patch, and correspondingly generate a high-resolution intermediate image by exploiting the high-resolution dictionary and low-resolution dictionary. In the second stage,of the proposed method a higher resolution image is obtained by fusing the intermediate high-resolution image sequence based on projection onto convex sets (POCS) method, increase image magnification while keeping goodeffectiveness. Experiment results show theeffectiveness of the proposed method and improved performance over other SR algorithms.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Super-resolution Sparse Representation Pocs