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Reseach Article

Image Compression using Cosine – Slant Hybrid Wavelet Transform with Assorted Color Spaces

by Sudeep D. Thepade, Jaya H. Dewan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 7
Year of Publication: 2013
Authors: Sudeep D. Thepade, Jaya H. Dewan
10.5120/12756-9723

Sudeep D. Thepade, Jaya H. Dewan . Image Compression using Cosine – Slant Hybrid Wavelet Transform with Assorted Color Spaces. International Journal of Computer Applications. 73, 7 ( July 2013), 29-35. DOI=10.5120/12756-9723

@article{ 10.5120/12756-9723,
author = { Sudeep D. Thepade, Jaya H. Dewan },
title = { Image Compression using Cosine – Slant Hybrid Wavelet Transform with Assorted Color Spaces },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 7 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 29-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number7/12756-9723/ },
doi = { 10.5120/12756-9723 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:39:28.492166+05:30
%A Sudeep D. Thepade
%A Jaya H. Dewan
%T Image Compression using Cosine – Slant Hybrid Wavelet Transform with Assorted Color Spaces
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 7
%P 29-35
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Gigantic size of multimedia data and images being generated stored and transmitted across the digital web today, which has raised new research concerns in computing field. One of such concerns is compression of such data with minimal quality distortion. In recent work, the hybrid wavelet transforms (HWT) are proven to be better in image compression as compared to the constituent transforms considered individually [1, 2]. Then further the proportion wise performance comparison of the constituent transforms considered for generation of HWT is also studied [3, 4]. Here the paper presents the performance appraise of various color spaces along with the conventional RGB color space in image compression using cosine-slant HWT with varying proportions of constituent cosine and slant transforms. The experimentation is done on a test-bed having 15 images of various sizes and varied compression ratios. The results show that LUV color space with 1:4 proportion of cosine-slant transform in HWT gives better quality of compression for higher compression ratios (90% and 95%). For 85% compression ratio, LUV color space with 1:1 proportion of cosine-slant transforms in HWT gives better compression quality. While in lower compression ratios (60% to 80%), the RGB color space gives better compression with 1:1 proportion of cosine-slant transforms in HWT.

References
  1. Dr. H. B. Kekre, Dr. Tanuja K. Sarode, Dr. Sudeep D. Thepade, Ms. Sonal Shroff, "Instigation of Orthogonal Wavelet Transforms using Walsh, Cosine, Hartley, Kekre Transforms and their use in Image Compression", International Journal of Computer Science and Information Security (IJCSIS), Volume 9, Number 6, pp. 125-133, June2011 (ISSN: 1947-5500), Available online at http://sites. google. com/site/ijcsis
  2. Dr. H. B. Kekre, Dr. Tanuja K. Sarode, Sudeep D. Thepade "Inception of Hybrid Wavelet Transform using Two Orthogonal Transforms and It's use for Image Compression", International Journal of Computer Science and Information Security (IJCSIS), Vol. 9, No. 6, 2011
  3. Dr. Sudeep D. Thepade, Jaya H. Dewan "Varying Proportions of Constituent Transforms to Generate Hybrid Wavelet Transform for Image Compression" 1st International Conference on Emerging Trends in computing, communication and Nanotechnology(ICE CCN 2013), Tamilnadu, India. Will be uploaded online at IEEE Xplore.
  4. Dr. Sudeep D. Thepade, Jaya H. Dewan "Extended Performance Comparison of Hybrid Wavelet Transform for Image Compression with Varying Proportions of Constituent Transforms 15th International Conference on Advanced Computing Technologies (ICACT-2013) , Rajampet, Andhrapradesh, India. Will be uploaded online at IEEE Xplore.
  5. S. Parveen Banu Dr. Y. Venkataramani, "An Efficient Hybrid Image Compression Scheme based on Correlation of Pixels for Storage and Transmission of Images", International Journal of Computer Applications (0975 – 8887) Volume 18– No. 3, March 2011.
  6. Dr. Sudeep Thepade, Shwetali Erandole, "Effect of Tiling in Image Compression using Wavelet Transform for Cosine & Kekre Transform", International Conference on Emerging Trends in Computing Communication and Nanotechnology, 2013. Will be uploaded on online IEEE Xplore.
  7. Dr. H. B. Kekre, Dipali Sadavarti, Archana Athawale, ''Algorithm to Generate Wavelet Transform from an Orthogonal Transform'', International Journal Of Image Processing (IJIP), Volume (4): Issue (4).
  8. Dr. Sudeep Thepade, Shwetali Erandole, "Extended Performance Comparison of tiling based Image Compression using Wavelet Transforms & Hybrid Wavelet Transforms", IEEE International Conference on Energy Efficient Technologies for Sustainability ICEETS-2013. Will be uploaded on online IEEE Xplore.
  9. Dr. H. B. Kekre, Sudeep D. Thepade, Archana Athawale, Adib Parkar, "Using Assorted Color Spaces and pixel window sizes for Colorization of Grayscale images", ACM International Conferences and workshops on emerging Trends in Technology(ICWET 2010), Thakur College of Engg. and Tech. ,Mumbai,26-27 Feb 2010.
  10. Rao,K. R. Ahmed, N. "Orthogonal transforms for digital signal processing" IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '76. Vol. 1, pp136 – 140.
  11. HouZhengxin, Xu Nini, Chen Hong , Li Xuelei "Fast slant transform with sequency increment and its application in image compression" 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004 Vol. 1, pp 65 – 68.
Index Terms

Computer Science
Information Sciences

Keywords

Image Compression Hybrid Wavelet Transforms Slant Transforms Discrete Cosine Transform (DCT) Color Spaces