Title: A novel embedded coding for medical image compression using contourlet transform

Authors: M. Tamilarasi; V. Palanisamy

Addresses: Department of Electronics and Communication Engineering, King College of Technology, Namakkal 637020, Tamil Nadu, India ' Info Institute of Engineering, Coimbatore 641107, Tamil Nadu, India

Abstract: The contourlet transform along with wavelet theory has great potential in medical image compression. The proposed technique aims at reducing the transmission cost while preserving the diagnostic integrity. In this paper we propose a wavelet based contourlet image compression algorithm. In the diagnosis of medical images, the ROI is selected using fuzzy C means algorithm and then to the resultant image optimized contourlet transform is applied. The region of less significance are compressed using Discrete Wavelet Transform and finally modified embedded zerotree wavelet algorithm is applied which uses six symbols instead of four symbol with better PSNR and high compression ratio.

Keywords: contourlet transform; DFBs; directional filter banks; DWT; discrete wavelet transform; EZW; PSNR; peak signal to noise ratio; ROI; region of interest; embedded coding; medical image compression; image processing; medical imaging.

DOI: 10.1504/IJSISE.2012.049854

International Journal of Signal and Imaging Systems Engineering, 2012 Vol.5 No.3, pp.204 - 212

Accepted: 29 Jun 2011
Published online: 31 Dec 2014 *

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