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A Survey on Various Techniques of Super Resolution Imaging

by Robinson Macwan, Nehal Patel, Priteshkumar Prajapati, Jaimin Chavda
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 1
Year of Publication: 2014
Authors: Robinson Macwan, Nehal Patel, Priteshkumar Prajapati, Jaimin Chavda
10.5120/15539-4214

Robinson Macwan, Nehal Patel, Priteshkumar Prajapati, Jaimin Chavda . A Survey on Various Techniques of Super Resolution Imaging. International Journal of Computer Applications. 90, 1 ( March 2014), 19-22. DOI=10.5120/15539-4214

@article{ 10.5120/15539-4214,
author = { Robinson Macwan, Nehal Patel, Priteshkumar Prajapati, Jaimin Chavda },
title = { A Survey on Various Techniques of Super Resolution Imaging },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 1 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number1/15539-4214/ },
doi = { 10.5120/15539-4214 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:57.872694+05:30
%A Robinson Macwan
%A Nehal Patel
%A Priteshkumar Prajapati
%A Jaimin Chavda
%T A Survey on Various Techniques of Super Resolution Imaging
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 1
%P 19-22
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Resolution plays a major role for interpretation and analysis of an image. Super Resolution is a technique to enhance the resolution of an image from single or multiple low resolved images, which gives detailed information present in an image. In this paper, we describe several methods for Super Resolution (SR) that enhances the quality of an image. Mainly the methods are divided into frequency domain and spatial domains. Here, we stated comparison of different approaches, challenges and issues for SR and applications of SR in practical world e. g. in medical imaging, satellite imaging, and forensics.

References
  1. Sung Cheol Park, Min KyuPark, and Moon Gi Kang, 2003 Super-Resolution Image Reconstruction: A Technical Overview. IEEE Signal Processing Magazine.
  2. Pandya Hardeep, Prof. Prashant B. Swadas, Prof. Mahasweta Joshi, 2013,A Survey on Techniques and Challenges in Image Super Resolution Reconstruction. International Journal of Computer Science and Mobile Computing.
  3. Tsai and Huang, 2010. A survey on super-resolution imaging. Springer.
  4. R. SudheerBabu, Dr. K. E. Sreenivasa Murthy, 2011. A Survey on the Methods of Super-Resolution Image Reconstruction. International Journal of Computer Applications. Volume 15-No. 2.
  5. Ankit Prajapati, Sapan Naik, Sheetal Mehta, 2012. Evaluation Of Different Image Interpolation Algorithms, International Journal of Computer Application. Volume 58-No. 12.
  6. Rujul R Makwana, Nita D Mehta, 2013. Survey on Single Image Super Resolution Techniques. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE). Volume 5, Issue 5.
  7. Amisha J. Shah1, Suryakant B. Gupta, 2012. Image Super Resolution – A Survey. IEEE.
  8. Daniel Glasner Shai Bagon Michal Irani, 2009. Super-Resolution from a Single Image. IEEE.
  9. Qiang Zhou, Shifeng Chen, Jianzhuang Liu and Xiaoou Tang, 2011. Edge preserving single image Super Resolution. ACM.
  10. Jianchao Yang and Thomas Huang. Image super-resolution: Historical overview and future challenges. University of illinois at Urbana-Champaign.
Index Terms

Computer Science
Information Sciences

Keywords

Low Resolution High Resolution Super Resolution Interpolation.

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