CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Super Resolution Applications in Modern Digital Image Processing

by Amanjot Singh, Jagroop Singh Sidhu
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 150 - Number 2
Year of Publication: 2016
Authors: Amanjot Singh, Jagroop Singh Sidhu
10.5120/ijca2016911458

Amanjot Singh, Jagroop Singh Sidhu . Super Resolution Applications in Modern Digital Image Processing. International Journal of Computer Applications. 150, 2 ( Sep 2016), 6-8. DOI=10.5120/ijca2016911458

@article{ 10.5120/ijca2016911458,
author = { Amanjot Singh, Jagroop Singh Sidhu },
title = { Super Resolution Applications in Modern Digital Image Processing },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 150 },
number = { 2 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 6-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume150/number2/26063-2016911458/ },
doi = { 10.5120/ijca2016911458 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:54:48.603551+05:30
%A Amanjot Singh
%A Jagroop Singh Sidhu
%T Super Resolution Applications in Modern Digital Image Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 150
%N 2
%P 6-8
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper gives the various applications of Super Resolution (SR) in today’s time modern digital image processing. It has been seen that SR implementation results are always increasing the performance of digital image processing techniques. Modern digital communication includes many applications which generate the data in the form of images and videos. Along with the other techniques of processing of images and videos, Super resolution of images has also grown. In the world of powerful processors and advanced display systems, SR has shown its existence and an overview of various applications based on super resolution has been given in this paper.

References
  1. S. C. Park, M. K. Park, and M. G. Kang, “Super-resolution image reconstruction: a technical overview,” IEEE Signal Processing Magazine, vol. 20, no. 3, pp. 21–36, 2003.
  2. M. Liu, J. Huang, M. Gao, and S. Qin, High Performance Super-Resolution Reconstruction of Multiple Images Based on Fast Registration and Edge Enhancement, Intelligence Science and Big Data Engineering, Springer, 2013.
  3. M. Irani and S. Peleg, “Improving resolution by image registration,” Graphical Models and Image Processing, vol. 53, no. 3, pp. 231–239, 1991.
  4. B.Sreenivas. , B.Narasimha Chary , Processing of Satellite Image Using Digital Image Processing , Geospatial World Forum ,18-21jan, 2011 , Hyderabad ,India.
  5. C. Heltin Genitha , K. Vani Super resolution mapping of satellite images using Hopfield neural networks, Recent Advances in Space Technology Services and Climate Change (RSTSCC), 2010, Page(s): 114 – 118 .ISBN: 978-1-4244-9184-1
  6. H. Zhang, Z. Yang, L. Zhang, and H. Shen, “Super-resolution reconstruction for multi-angle remote sensing images considering resolution differences,” Remote Sensing, vol. 6, no. 1, pp. 637–657, 2014.
  7. Tolpekin, V.A., Ardila Lopez, J.P. and Bijker, W. (2010) Super - resolution mapping for extraction of urban tree crown objects from VHR satellite images. In: GEOBIA 2010 : geographic object - based image analysis, 29 June-2 July 2010,
  8. G. S. Sable1 , Dr. A.N. Gaikwad2 , A Novel Approach for Super Resolution in Medical Imaging, International Journal of Emerging Technology and Advanced Engineering , Website: www.ijetae.com (ISSN 2250-2459, Volume 2, Issue 11, November 2012).
  9. Hayit Greenspan, “Super-Resolution in Medical Imaging”, The Computer Journal , Oxford University Press Oxford, UK . Volume 52 Issue 1, January 2009, Pages 43-63
  10. H. Greenspan, G. Oz, N. Kiryati, and S. Peled. MRI inter-slice reconstruction using super-resolution. Magnetic Resonance Imaging, 20(5):437–446, 2002.
  11. J.A. Kennedy, O. Israel, A. Frenkel, R. Bar-Shalom, and H. Azhari. Super-resolution in PET imaging. IEEE transactions on medical imaging, 25(2):137–147, 2006.
  12. J.A. Kennedy, O. Israel, A. Frenkel, R. Bar-Shalom, and H. Azhari. Improved image fusion in PET/CT using hybrid image reconstruction and super-resolution. Int. J. Biomed. Imaging, 46846, 2007.
  13. R.R. Peeters, P. Kornprobst, M. Nikolova, S. Sunaert, T. Vieville, G. Malandain, R. Deriche, O. Faugeras, M. Ng, and P. Van Hecke. The use of super-resolution techniques to reduce slice thickness in functional MRI. International Journal of Imaging Systems and Technology, 14(3):131–138, 2004.
  14. S. Peled and Y. Yeshurun. Superresolution in MRI: Application to human white matter fiber tract visualization by diffusion tensor imaging. Magnetic resonance in medicine, 45(1):29–35, 2001.
  15. M. Dirk Robinson, Stephanie J. Chiu, Cynthia A. Toth, Joseph A. Izatt, Joseph Y. Lo ,Sina Farsiu, “New Applications of Super-resolution in Medical Imaging, Digital Imaging and Computer Vision, CRC Press.
  16. http://zeisscampus.magnet.fsu.edu/articles/superresolution/introduction.html
  17. Alex Small & Shane Stahlheber, Fluorophore localization algorithms for super-resolution microscopy, Nature Methods 11, 267–279 (2014) doi:10.1038/nmeth.2844
  18. K. Malczewski , R. Stasiński , “Super Resolution for Multimedia, Image, and Video Processing Applications”, Recent Advances in Multimedia Signal Processing and Communications ,Volume 231 of the series Studies in Computational Intelligence pp 171-208
  19. Astronomical Data Analysis Software and Systems XIII ASP Conference Series, Vol. 314, 2004 F.
  20. L. Zhang, H. Zhang, H. Shen, and P. Li, “A super-resolution reconstruction algorithm for surveillance images,” Signal Processing, vol. 90, no. 3, pp. 848–859, 2010
  21. Liangpei Zhanga, , Hongyan Zhanga, Huanfeng Shenb, Pingxiang Lia, A super-resolution reconstruction algorithm for surveillance images, Volume 90, Issue 3, March 2010, Pages 848–859.
  22. http://www.icst.pku.edu.cn/course/icb/Research.html
  23. http://medicalimaging.spiedigitallibrary.org/article.aspx?articleid=2088621
  24. http://www.kurzweilai.net/a-new-technique-for-super-resolution-digital-microscopy
  25. http://www.gla.ac.uk/schools/physics/research/groups/imagingconcepts/research_areas/computationalimaging/
  26. http://www.qstorm.org/2014/10/08/nobel-prize-for-super-resolution-imaging/
Index Terms

Computer Science
Information Sciences

Keywords

FMRI PET OCT

Powered by PhDFocusTM