Title: Greyscale and colour medical image compressed using hybrid contourlet biorthogonal CDF lifting scheme, bandelet and quincunx wavelet transforms: a comparative study

Authors: Ismail Boukli Hacene; Abdelhafid Bessaid

Addresses: Biomedical Engineering Research Laboratory, Department of Electrics and Electronics Technology, University of Tlemcen, Tlemcen 13000, Algeria ' Biomedical Engineering Research Laboratory, Department of Electrics and Electronics Technology, University of Tlemcen, Tlemcen 13000, Algeria

Abstract: The Quincunx wavelet, the lifting scheme wavelet and the second generation bandelet transform are a new method to offer an optimal representation for image geometric. In the field of medical diagnostics, interested parties have resorted increasingly to medical imaging. It is well established that the accuracy and completeness of diagnosis are initially connected with the image quality, but the quality of the image is itself dependent on a number of factors including primarily the processing that an image must undergo to enhance its quality. The quality evaluation of compressed image is necessary to judge the performance of a compression method. This paper introduces an algorithm for medical image compression based on hybrid non-subsampled contourlet (NSCT) and quincunx wavelet transforms (QWT) coupled with SPIHT coding algorithm, of which we present the objective measurements (PSNR, EDGE, WPSNR, MSSIM, VIF, and WSNR) in order to evaluate the quality of the image.

Keywords: medical image; NSCT; QWT; biorthogonal wavelet 9/7; lifting scheme; bandelet transform; compression; SPIHT coder; objective measurements.

DOI: 10.1504/IJBET.2018.089250

International Journal of Biomedical Engineering and Technology, 2018 Vol.26 No.1, pp.13 - 31

Received: 18 Feb 2016
Accepted: 25 May 2016
Published online: 11 Jan 2018 *

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