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

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Hybrid Super Resolution using SWT and CT

by Deepa K Davis, Rajesh Cherian Roy
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 7
Year of Publication: 2012
Authors: Deepa K Davis, Rajesh Cherian Roy
10.5120/9558-4019

Deepa K Davis, Rajesh Cherian Roy . Hybrid Super Resolution using SWT and CT. International Journal of Computer Applications. 59, 7 ( December 2012), 9-14. DOI=10.5120/9558-4019

@article{ 10.5120/9558-4019,
author = { Deepa K Davis, Rajesh Cherian Roy },
title = { Hybrid Super Resolution using SWT and CT },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 7 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 9-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number7/9558-4019/ },
doi = { 10.5120/9558-4019 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:03:31.894095+05:30
%A Deepa K Davis
%A Rajesh Cherian Roy
%T Hybrid Super Resolution using SWT and CT
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 7
%P 9-14
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Super resolution is the process of reconstructing high resolution(HR) image from multiple low resolution(LR) images of a scene . LR images are at a specific pixel shift from each other. High Resolution(HR) grids are formed from these LR images using Stationary Wavelet Transform (SWT) by image registration. Interpolation of the missing pixel in the HR grid is done using Curvelet Transform(CT). Experimental results show that our method has got high PSNR compared to Curvelet Transform based super resolution. Also, it is verified that there is no need of filter to avoid interpolation errors

References
  1. Xuelong Li, Yanting Hu, Xinbo Gao, Dacheng Tao, Beijia Ning "A multiframe image super resolution method", signal processing 2010, vol 90, Iss 2, pp 405-414
  2. R Y Tsai, T S Huang," Multiframe image restoration and registration",Advances in computer vision and image processing 1984,vol 1,pp 317-339
  3. K D Sauer, J P Allebach,"Iterative reconstruction of bandlimited images from non-uniformed spaced sample" IEEE Transc Circuits and systems,1987, vol 34,pp 1497-1505
  4. K Aizawa ,T Komastu,T Saito "Acquisition of very high resolution images using stereo cameras", Proc SPIE visual communication and image processing, Nov 1991,pp 318-328
  5. M. Irani and S Peleg" Improving resolution by Image Registration" CVGIP Graph Models Image Processing,53:324-335,Dec-1993
  6. I Abdou,"Image Restoration of multiple frame sequences" In Proc. SPIE applications of digital image processing X1X,vol2847,pages 192-202,Denver Co,Aug 1996
  7. N. Nguyen , P. Milanfar, "A wavelet-based interpolation-restoration method for Superresolution", Circuits Systems Signal Processing, 2000, vol 19, issue 4, pp. 321-338.
  8. D. L. Ward, "Redundant discrete wavelet transform based super-resolution using sub-pixel image registration", Master's thesis, Air Force Inst. Of Tech Wright-Patterson AFB OH School of Engineering and Management, 2003.
  9. Anil A Patil ,Rakesh Singhai , Jyoti singhai,"Curveelt Transform Based Super resolution using sub pixel image registration",computer science and electronic engineering conference,2010,pp 1-6
  10. Candes E J, Donoho D L and Ying L," Fast Discrete Curvelet Transform", Journal of Multiscale modeling & Simulation,2006, vol 5, issue 3, pp. 861-899.
  11. G P Nason, B W Silverman , "The stationary wavelet transform and some statistical Applications"Lecture Notes in Statistics, 103, pp. 281-299
  12. Zhang Xiangjun, Wu Xiaolin, "Image coding on Quincunx lattice with adaptive lifting and interpolation", IEEE data compression conference 2007,pp 193-202
  13. Jianwei Ma1 , Gerlind Plonka, "Computing with Curvelets: From Image Processing to Turbulent Flows",computing in science and engineering, 2009, issue 2, vol 11, pp 72-80
Index Terms

Computer Science
Information Sciences

Keywords

Pixel Shift Image registration Interpolation

Powered by PhDFocusTM