We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 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

Dual Tree Complex Wavelet Transform (DTCWT) based Adaptive Interpolation Technique for Enhancement of Image Resolution

by Mayuri Patil, Shivkumar Singh Tomar, Setu K. Chaturvedi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Number 14
Year of Publication: 2013
Authors: Mayuri Patil, Shivkumar Singh Tomar, Setu K. Chaturvedi
10.5120/13933-1957

Mayuri Patil, Shivkumar Singh Tomar, Setu K. Chaturvedi . Dual Tree Complex Wavelet Transform (DTCWT) based Adaptive Interpolation Technique for Enhancement of Image Resolution. International Journal of Computer Applications. 80, 14 ( October 2013), 37-42. DOI=10.5120/13933-1957

@article{ 10.5120/13933-1957,
author = { Mayuri Patil, Shivkumar Singh Tomar, Setu K. Chaturvedi },
title = { Dual Tree Complex Wavelet Transform (DTCWT) based Adaptive Interpolation Technique for Enhancement of Image Resolution },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 80 },
number = { 14 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 37-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume80/number14/13933-1957/ },
doi = { 10.5120/13933-1957 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:54:35.389260+05:30
%A Mayuri Patil
%A Shivkumar Singh Tomar
%A Setu K. Chaturvedi
%T Dual Tree Complex Wavelet Transform (DTCWT) based Adaptive Interpolation Technique for Enhancement of Image Resolution
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 14
%P 37-42
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image resolution enhancement is one of the first steps in image processing. Enhancement of image with respect to spatial coordinates of the image, basically improves interpretability and perception of an image. Adaptive interpolation along with dual tree complex wavelet transform results in better quality superresoved images. Greater directional selectivity and phase information properties of redundant CWT implies superresolved image from original low resolution image. While improving the resolution of an image high frequency components are required to preserve other than enlarging the image. In this paper, dual tree complex wavelet transform (DTCWT) based superresolved imaging system along with non iterative orientation interpolation process is proposed. Image quality measuring factors such as PSNR value, RSNI approximation proves that efficiency of images obtained by proposed method is better than state of the art system of resolution enhancement.

References
  1. Raman Maini and Himanshu Aggarwal,"A Comprehensive Review of Image Enhancement Techniques" Journal of computing, volume 2, issue 3, march 2010.
  2. Zhang Min, Wang Jiechao, LI Zhiwei and LI Yonghua ,"An Adaptive Image Zooming Method with Edge Enhancement?" ,3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), 2010.
  3. Zhou Dengwen and Shen Xiaoliu , " An Effective Color Image Interpolation Algorithm",4th International Congress on Image and Signal Processing,2011.
  4. Felix C. A. Fernandes, Rutger L. C. ,"A New Framework for Complex Wavelet Transform" IEEE Trans. On signal processings, vol. 51,no. 7,July,2003.
  5. A. Temizel and T. Vlachos, "Wavelet Domain Image Resolution Enhancement using Cycle-spinning", Electronics Letters, Vol. 41, No. 3, Feb. 2005
  6. Y. Piao, I. Shin, and H. W. Park, "Image resolution enhancement using inter-subband correlation in wavelet domain", in Proc. ICIP, vol 1,2007.
  7. Hasan Demirel and Gholamreza Anbarjafari,"Image Resolution Enhancement by Using Discrete and Stationary Wavelet Decomposition" IEEE transactions on image processing, vol. 20, no. 5, may 2011.
  8. Hasan Demirel and Gholamreza Anbarjafari,"Discrete Wavelet Transform-Based Satellite Image Resolution Enhancement", IEEE Trans. geoscience and remote sensing letters,vol. 49,no. 6, June 2011. .
  9. Hasan Demirel and Gholamreza Anbarjafari,"Satellite Image Resolution Enhancement Using Complex Wavelet Transform" ,IEEE Trans. geoscience and remote sensing letters,vol. 7,no. 1,January 2010.
  10. Nick Kingsbury,"Shift invariant properties of the dual tree Complex Wavelet Transform" IEEE Trans. On signal processing letters, 1999.
  11. R. C. Gonzalez, R. E. Woods, ?Digital Image Processing?, 2nd ed. , Prentice Hall.
  12. A K Jain, 'Fundamentals of Digital Image Processing', Prentice Hall, NJ, 1990.
  13. W. K. Pratt, Digital image processing, Prentice Hall, 1989.
  14. R. C. Gonzalez, R. E. Woods, "Digital Image Processing using Matlab", 2nd ed. , Prentice Hall.
  15. www. mathworks. com, MATLAB Version 6. 5, The MathWorks Inc, 2001.
Index Terms

Computer Science
Information Sciences

Keywords

DTCWT PSNR RSNI

Powered by PhDFocusTM