A novel embedded coding for medical image compression using contourlet transform
by M. Tamilarasi; V. Palanisamy
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 5, No. 3, 2012

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.

Online publication date: Wed, 31-Dec-2014

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