International Journal of Information Engineering and Electronic Business(IJIEEB)
ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)
Published By: MECS Press
IJIEEB Vol.6, No.2, Apr. 2014
New Contribution on Compression Color Images: Analysis and Synthesis for Telemedicine Applications
Full Text (PDF, 570KB), PP.28-34
The wavelets are a recent tool for signal processing analysis, for multiple time scale. It gives rise to many applications in various fields such as geophysics, astrophysics, telecommunications, imaging, and video coding. They are the basis of new analytical techniques and signal synthesis and some nice applications for general problems such as compression. This paper introduces an application for color medical image compression based on the wavelet transform coupled with SP?HT coding algorithm. In order to enhance the compression by this algorithm, we have compared the results obtained with wavelet transform application in natural, medical and satellite color image field. For this reason, we evaluated two parameters known for their calculation speed. The first parameter is the PSNR; the second is MSSIM (structural similarity).
Cite This Paper
Beladgham Mohammed, Habchi Yassine, Moulay Lakhdar Abdelmouneim, Bassou Abdesselam, Taleb-Ahmed Abdelmalik,"New Contribution on Compression Color Images: Analysis and Synthesis for Telemedicine Applications", IJIEEB, vol.6, no.2, pp.28-34, 2014. DOI: 10.5815/ijieeb.2014.02.03
M. Nelson, “The data compression book“, 2nded., M&T books, New York, 1996.
Said, W.A. Pearlman: An Image Multiresolution Representation for Lossless and Lossy Compression, IEEE Transactions on Image Processing, Vol. 5, No. 9, Sept. 1996, pp. 1303 – 1310.
Zandi, J.D. Allen, E.L. Schwartz, M. Boliek: CREW: Compression with Reversible Embedded Wavelets, Data Compression Conference, Snowbird, USA, March 1995, pp. 212 – 221.
A.R Calderbank, I. Daubechies, W. Sweldens, B.L. Yeo: Wavelet Transforms that Map Integers to Integers, Applied and Computational Harmonic Analysis, Vol. 5, No. 3, July 1998, pp. 332 – 369.
W. Sweldens. The Lifting Scheme: A Custom-design Construction of Biorthogonal Wavelets. Applied and Computational Harmonic Analysis, Vol. 3, No. 2, April 1996, pp. 186 – 200.
S.G. Miaou, S.T. Chen, S.N. Chao: Wavelet-based Lossy-to-lossless Medical Image Compression using Dynamic VQ and SPIHT Coding, Biomedical Engineering: Applications, Basis & Communications, Vol. 15, No. 6, Dec. 2003, pp. 235 – 242.
Mohammed Beladgham, Abdelhafid Bessaid, Abdelmounaim Moulay Lakhdar, Abdelmalik Taleb-Ahmed, Improving Quality of Medical Image Compression Using Biorthogonal CDF Wavelet Based on Lifting Scheme and SPIHT Coding, SERBIAN JOURNAL OF ELECTRICATL ENGINEERING, Vol. 8, No. 2, May 2011, 163-179.