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

Image Super Resolution on the Basis of DWT and Bicubic Interpolation

by Gaurav Kumar, Kulbir Singh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 15
Year of Publication: 2013
Authors: Gaurav Kumar, Kulbir Singh
10.5120/10999-6180

Gaurav Kumar, Kulbir Singh . Image Super Resolution on the Basis of DWT and Bicubic Interpolation. International Journal of Computer Applications. 65, 15 ( March 2013), 12-17. DOI=10.5120/10999-6180

@article{ 10.5120/10999-6180,
author = { Gaurav Kumar, Kulbir Singh },
title = { Image Super Resolution on the Basis of DWT and Bicubic Interpolation },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 15 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number15/10999-6180/ },
doi = { 10.5120/10999-6180 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:18:53.995847+05:30
%A Gaurav Kumar
%A Kulbir Singh
%T Image Super Resolution on the Basis of DWT and Bicubic Interpolation
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 15
%P 12-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes a super-resolution technique based on interpolation of the high-frequency subband images obtained by discrete wavelet transform (DWT) and the input image. This technique uses DWT to decompose an image into different subband images. Then the high-frequency subband images and the low-resolution input image have been interpolated, followed by combining all these images to generate a new super-resolved image by using inverse discrete wavelet transform (IDWT). This super resolution technique has been tested on various images. The peak signal-to-noise ratio (PSNR) and visual results show the superiority of this technique over the conventional and state-of-art image resolution enhancement techniques.

References
  1. Yi-bo, L. , Hong, X. and Sen-yue, Z. "The Wrinkle Generation Method for Facial Reconstruction Based on Extraction of Partition Wrinkle Line Features and Fractal Interpolation," 4thInt. Conf. Image Graphics, Aug. 22-24, 2007, pp. 933-937.
  2. Rener, Y. , Wei, J. and Ken, C. "Down sample-Based Multiple Description Coding and Post-Processing of Decoding," 27th Chinese Control Conf. , 2008, pp. 253-256.
  3. Piao, Y. , Shin, L. , and Park, H. W. "Image Resolution Enhancement Using Inter-Subband Correlation in Wavelet Domain," Int. Conf. Image Process. , vol. 1, 2007, pp. I–445-448.
  4. Carey, W. K. , Chuang, D. B. , and Hemami, S. S. "Regularity- Preserving Image Interpolation," IEEE Trans. Image Proc. , vol. 8, no. 9, Sept. 1999, pp. 1293-1297.
  5. Parker, J. , Kenyon, R. , and Troxel, D. "Comparison of interpolating methods for image resampling," IEEE Trans. Med. Imaging 2(1), pp. 31–39, 1983.
  6. Li, X. and Orchard, T. "New Edge-Directed Interpolation" IEEE Trans. Image Process. , vol. 10, no. 10, 2001, pp. 1521-1527.
  7. Zhao, S. , Han, H. and Peng, S. "Wavelet Domain HMT-Based Image Super Resolution," IEEE Int. Conf. Image Process, vol. 2, Sept. 2003, pp. 933-936.
  8. Temizel, A. and Vlachos, T. "Wavelet Domain Image Resolution Enhancement Using Cycle-Spinning," Electron. Letter, vol. 41, no. 3, Feb. 2005, pp. 119-121.
  9. Temizel, A. and Vlachos, T. "Image Resolution Up scaling in the Wavelet Domain Using Directional Cycle Spinning," J. Electron. Imaging, vol. 14, no. 4, 2005.
  10. Thvenaz, P. , Blu, T. and Unser, M. "Image Interpolation and Re sampling," Handbook of Medical Imaging, Processing and Analysis, I. N. Bankman, Ed. , Academic Press, San Diego CA, USA, pp. 393-420, 2000.
  11. Lin, C. and Liu (2010), A Tutorial of the Wavelet Transform.
  12. Anbarjafari, G. and Demirel, H. "Image super resolution based on interpolation of wavelet domain high frequency subbands and the spatial domain input image," ETRI J. , vol. 32, no. 3, pp. 390–394, Jun. 2010.
  13. Gonzalez, R. C and Woods, R. E. "Digital image processing", 3rd edition, Pearson Prentice Hall, 2008.
  14. Mallat, S. A Wavelet Tour of Signal Processing, 2nd ed. , Academic Press, 1999.
  15. Temizel, A. "Image Resolution Enhancement Using Wavelet Domain Hidden Markov Tree and Coefficient Sign Estimation,"Int. Conf. Image Process, vol. 5, 2007, pp. 381-384.
Index Terms

Computer Science
Information Sciences

Keywords

Discrete wavelet transform super- resolution

Powered by PhDFocusTM