Survey on Medical Image Compression Using Contourlet Transform

Authors

  • 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

Keywords:

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

Abstract

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.

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International Journal of Scientific Research in Science and Technology

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Published

2017-04-30

Issue

Volume 3, Issue 5, May-June-2017

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 5, pp.09-13, May-June-2017.