Serbian Journal of Electrical Engineering
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2011, vol. 8, iss. 2, pp. 163-179
Improving quality of medical image compression using biorthogonal CDF wavelet based on lifting scheme and SPIHT coding
aDepartement of Electronic, Bechar University, Bechar, Algeria + Genie-Biomedical Laboratory, Department of Electronic, Abou bekr Belkaid University, Tlemcen, Algeria
bGenie-Biomedical Laboratory, Department of Electronic, Abou bekr Belkaid University, Tlemcen, Algeria
cDepartment of Electronic, Bechar Université, Bechar, Algeria
dBiomecanic Laboratory, Valencienne University, France
Keywords: medical image; compression; biorthgonal wavelets; CDF9/7; lifting scheme; SPIHT
As the coming era is that of digitized medical information, an important challenge to deal with is the storage and transmission requirements of enormous data, including medical images. Compression is one of the indispensable techniques to solve this problem. In this work, we propose an algorithm for medical image compression based on a biorthogonal wavelet transform CDF 9/7 coupled with SPIHT coding algorithm, of which we applied the lifting structure to improve the drawbacks of wavelet transform. In order to enhance the compression by our algorithm, we have compared the results obtained with wavelet based filters bank. Experimental results show that the proposed algorithm is superior to traditional methods in both lossy and lossless compression for all tested images. Our algorithm provides very important PSNR and MSSIM values for MRI images.
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article language: English
document type: unclassified
DOI: 10.2298/SJEE1102163B
published in SCIndeks: 12/07/2011

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