Survey on Medical Image Compression Using Contourlet Transform

Authors(3) :-V. Anusuya, Dr. V. Srinivasa Raghavan, S. Divyabharathi

Medical image compression is essential nowadays for telemedicine application. Image compression is associated with removing redundant information and transmits required image data. To transmit large amount of data lot of techniques has been implemented in image compression. Image compression methods already implemented for normal images, one dimensional and 2D image. Recent work has been concentrated on medical images. BPC(BitPlane Coding) technique has been implemented in medical image compression. In this paper, presents a research overview of medical image compression using contourlet transform using wavelet transform, EBCOT algorithm and vector quantization, and its techniques with its future scenario.

Authors and Affiliations

V. Anusuya
Computer Science and Engineering, P.S.R. Engineering college, Sivakasi,
Dr. V. Srinivasa Raghavan
Principal, S. Veerasamy Chettiar College of Engineering and Technology, Puliangudi,Tamilnadu,India
S. Divyabharathi
Computer Science and Engineering, P.S.R. Engineering college, Sivakasi, Tamilnadu,India

Medical image Compression, EBCOT, vector quantization, Image processing, Encoding, Wavelet Transform.

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 09-13
Manuscript Number : ICASCT2502
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

V. Anusuya, Dr. V. Srinivasa Raghavan, S. Divyabharathi, " Survey on Medical Image Compression Using Contourlet Transform, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 5, pp.09-13, May-June-2017. Available at doi : 10.32628/ICASCT2502
Journal URL : http://ijsrst.com/ICASCT2502

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