CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Survey on Multiframe Super-Resolution

by Jagruti Rajput, Bhailal Limbasiya
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 6
Year of Publication: 2015
Authors: Jagruti Rajput, Bhailal Limbasiya
10.5120/19545-1411

Jagruti Rajput, Bhailal Limbasiya . Survey on Multiframe Super-Resolution. International Journal of Computer Applications. 111, 6 ( February 2015), 29-31. DOI=10.5120/19545-1411

@article{ 10.5120/19545-1411,
author = { Jagruti Rajput, Bhailal Limbasiya },
title = { Survey on Multiframe Super-Resolution },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 6 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 29-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number6/19545-1411/ },
doi = { 10.5120/19545-1411 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:47:11.172644+05:30
%A Jagruti Rajput
%A Bhailal Limbasiya
%T Survey on Multiframe Super-Resolution
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 6
%P 29-31
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Super-resolution technique is used for resolution enhancement. In multiframe super-resolution multiple low resolution images are combined to get high resolution image. This paper addresses multiframe super-resolution in which one or more low resolution images are combined to get high resolution image which can increase spatial resolution of image and different image quality matrices to measure the quality of the original image and reconstructed image.

References
  1. S. C. Park, M. K. Park and M. G. Kang, "Super- resolution image reconstruction- A technical review"- IEEE Signal Processing Mag. , vol. 20, pp. 21–36, May 2003.
  2. Xuelong Li,Yanting Hu, Xinbo Gao, et. al, "A multi-frame image super-resolution method", IEEE Transactions on Signal Processing 90, pp. 405-414, 2010.
  3. Kassem Al Ismaeil;Djamila Aouada;Bruno Mirbach, "Multi-Frame Super-Resolution by Enhanced Shift & Add", 8th International Symposium on Image and Signal Processing and Analysis ,September 4-6, 2013.
  4. Zhuozheng Wang;J. R. Deller, "Multi-Frame Super Resolution Based On Sparse Representation And Matrix Completion", IEEE Transactions on Signal Processing,2013.
  5. Hamid Palangi; Shohreh Kasaei, "Fast and robust multiframe superresolution using inhibition principle",Fourth International Conference on Digital Telecommunications,2009.
  6. Yan Cheng, Xiangzhong Fang, Jun Hou, Songyu Yu, "Multiframe super-resolution reconstruction based on cycle-spinning", IEEE Transactions on Signal Processing,2007.
  7. Bareja, M. N; Modi,C. K, "An effective Iterative Back Projection Based Single Image Super Resolution Approch",International Conference On Communication Systems and Network Technologies, 2012.
  8. Yusra A. Y. Al-Najjar, Dr. Der Chen Soong, "Comparison of Image Quality Assessment: PSNR, HVS, SSIM, UIQI", International Journal of Scientific & Engineering Research, Volume 3, Issue 8, August-2012.
  9. Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity", IEEE Trans. Image Process. , vol. 13, no. 4, pp. 600-612, 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Spatial resolution multiframe super-resolution

Powered by PhDFocusTM