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

Article:Image Quality Prediction by Minimum Entropy Calculation for Various Filter Banks

by Sarita KumariÜ, Vijander Singh Meel, Ritu Vijay
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 5
Year of Publication: 2010
Authors: Sarita KumariÜ, Vijander Singh Meel, Ritu Vijay
10.5120/1158-1434

Sarita KumariÜ, Vijander Singh Meel, Ritu Vijay . Article:Image Quality Prediction by Minimum Entropy Calculation for Various Filter Banks. International Journal of Computer Applications. 7, 5 ( September 2010), 31-34. DOI=10.5120/1158-1434

@article{ 10.5120/1158-1434,
author = { Sarita KumariÜ, Vijander Singh Meel, Ritu Vijay },
title = { Article:Image Quality Prediction by Minimum Entropy Calculation for Various Filter Banks },
journal = { International Journal of Computer Applications },
issue_date = { September 2010 },
volume = { 7 },
number = { 5 },
month = { September },
year = { 2010 },
issn = { 0975-8887 },
pages = { 31-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume7/number5/1158-1434/ },
doi = { 10.5120/1158-1434 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:55:36.174148+05:30
%A Sarita KumariÜ
%A Vijander Singh Meel
%A Ritu Vijay
%T Article:Image Quality Prediction by Minimum Entropy Calculation for Various Filter Banks
%J International Journal of Computer Applications
%@ 0975-8887
%V 7
%N 5
%P 31-34
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

We implement image compression using various wavelet filter banks and measure performance with rate distortion characterizations. Various separable filter banks are chosen and compared. Coefficients in the subbands obtained by wavelet decomposition are quantized. The image is then reconstructed from the quantized coefficients, and distortion is measured. Three distortion measures are used: Entropy of reconstructed image, energy retained (ER) and redundancy.

References
  1. Nadenau M. J., Reichel J., and Kunt M., 2003, Wavelet Based Color Image Compression: Exploiting the Contrast Sensitivity Function, IEEE Transactions Image Processing, vol. 12, no.1, pp. 58-70.
  2. Jain Y. K., Jain S., 2007, Performance Analysis and Comparision of wavelet families Using for Image Compression, International Journal of Soft Computing, 2(1), 161-171.
  3. Talukder K. H. and Harada K., Haar, 2007, Wavelet Based Approach for Image Compression and Quality Assessment of Compressed Image, IAENG International Journal of Applied Mathematics.
  4. Z. Ye, Mohamadian H. and Y.Ye, 2007, Information Measures for Biometric Identification via 2D Discrete Wavelet Transform”, Proceedings of the 3rd Annual IEEE Conference on Automation Science and Engineering, CASE’2007, pp. 835-840.
  5. Salomon.D.: ‘Data compression’ (Springer, 2nd edn. 2000).
  6. Misiti, M. Misiti, Y. Oppenheim, G. Poggi, J-M., 2000, Wavelet Toolbox User’s Guide, Version 2.1, The Mathworks, Inc.
  7. Subhasia Saha, 2000, Image Compression – from DCT to Wavelets: A review, ACM Cross words student’s magazine, Vol.6, No.3, Springer.
  8. Sukanesh R. et al, 2007, Analysis of Image Compression by Minimum Relative Entropy (MRE) and Restoration through Weighted Region Growing Techniques for Medical Images, Engineering Letters, 14:1.
Index Terms

Computer Science
Information Sciences

Keywords

Image compression Wavelets Entropy Energy retained Redundancy

Powered by PhDFocusTM