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QUALITY ASSESSMENT OF MEDICAL IMAGE COMPRESSED BY CONTOURLET QUINCUNX AND SPIHT CODING

Biomedical Engineering Research Laboratory, Department of Electrics and Electronics Technology Faculty, University of Tlemcen 13000, Algeria

E-mail Address: ismaill80@yahoo.fr

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BENDELHOUM SOUFIENE

Department of Sciences and Technologies, Center of University Nour El-Bachir, El-Bayadh 32000, Algeria

Telecommunications and Digital Signal Processing Laboratory, Djillali Liabes University, Sidi Bel Abbes 22000, Algeria

E-mail Address: bendelhoum_med@yahoo.fr

Corresponding author.

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, and

A. BESSAID

Biomedical Engineering Research Laboratory, Department of Electrics and Electronics Technology Faculty, University of Tlemcen 13000, Algeria

E-mail Address: a.bessaid@gmail.com

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https://doi.org/10.1142/S021951941750097XCited by:4 (Source: Crossref)

Abstract

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 nonsubsampled contourlet (NSCT) and quincunx wavelet transforms (QWT) coupled with set partitioning in hierarchical trees (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:

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