CFP last date
22 April 2024
Reseach Article

A New Robust Pre-Processing Technology of Image Compression based on Wavelets Decomposition

by Garima, Deepak Chaudhary
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 5
Year of Publication: 2017
Authors: Garima, Deepak Chaudhary
10.5120/ijca2017915588

Garima, Deepak Chaudhary . A New Robust Pre-Processing Technology of Image Compression based on Wavelets Decomposition. International Journal of Computer Applications. 176, 5 ( Oct 2017), 49-51. DOI=10.5120/ijca2017915588

@article{ 10.5120/ijca2017915588,
author = { Garima, Deepak Chaudhary },
title = { A New Robust Pre-Processing Technology of Image Compression based on Wavelets Decomposition },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2017 },
volume = { 176 },
number = { 5 },
month = { Oct },
year = { 2017 },
issn = { 0975-8887 },
pages = { 49-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number5/28552-2017915588/ },
doi = { 10.5120/ijca2017915588 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:41:46.278755+05:30
%A Garima
%A Deepak Chaudhary
%T A New Robust Pre-Processing Technology of Image Compression based on Wavelets Decomposition
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 5
%P 49-51
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wavelet transform is becoming more and more important in image compression applications because of its suppleness in on behalf of non-stationary signals. Current techniques use comprehensive search trial that are computationally rigorous to find the "optimal" basis. In this paper, we offer some guiding principle based on the statistics of the image to be coded, for formative the need to search for the "optimal" wavelets as well as the development that can be achieved by using the "optimal" over "standard" wavelets. The proposed guidelines can be used to find a good initial guess for the exhaustive search if the optimal basis is needed.

References
  1. Digital Image Processing (Pearson Education, Second Edition) By Rafael C. Gonzalez and Richard E.Woods.
  2. Digital Image Processing by Athur R.Weak
  3. Digital Image Processing using MATLAB (Pearson Education) By Rafael C. Gonzalez, Richard E. Woods and Steven L.Eddins,
  4. T Hong LIU , Lin-pei ZHAIV , Ying GAO, Wen-ming LI‟, Jiu-fei ZHOU‟, “Image Compression Based on BiorthogonalnWavelet Transform”, IEEE Proceedings of ISCIT2005.
  5. De Vore , et al.,n”Image Compression through Wavelet Transform Coding”, IEEE Transaction on Information Theory.
  6. “A Comparative Study of Image Compression Techniques Based on Svd, Dwt-Svt , Dwt-Dct” ICSCI2008 proceedings pg 494-496
  7. R. Edmund, ―Wavelet Compression of Medical Imagery‖. Tele-medicine Journal, Vol. 2, 1996, pp. 131-137.
  8. Mamta Sharma, compression Using Huffman Coding, IJCSNS International Journal of Computer Science and Network Security, VOL.10 NO.5, May 2010,pp 133-141
  9. Mahendra V.P., Arjun M.R., Yadav H.S., Manoj M.S. “Implementation of advance Image Compression Algo. using WT” (http://sidharth0384.googlepages.com/ Report.pdf)
  10. Nanavati S. P. and Panigrahi P.K., 2005. “Wavelet: Applications to Image Compression-II”. (http://www.ias.ac.in/resonance/Mar2005/pdf/Mar2005p19-27.pdf)
  11. Sindhu M., Rajkamal R., 2009. “Image and its compression techniques” International Journal of Recent Trends in Engineering, Vol 2, No. 4, pp. 71-75.
  12. Kumar, T. and K. Verma, 2010a. A theory based on conversion of RGB image to gray image. Int. J. Computer. Appli., 7: 5-12. DOI: 10.5120/1140-1493
Index Terms

Computer Science
Information Sciences

Keywords

Image wavelets transform compression