Improving Quality of Medical Image Compression Using Biorthogonal CDF Wavelet Based on Lifting Scheme and SPIHT Coding

dc.contributor.authorTaleb Ahmed, Abdelmaliken_US
dc.contributor.authorBeladgham, Mohammeden_US
dc.contributor.authorBessaid, Abdelhafiden_US
dc.contributor.authorMoulay Lakhdar, Abdelmounaimen_US
dc.date.accessioned2013-06-17T09:23:21Zen_US
dc.date.available2013-06-17T09:23:21Zen_US
dc.date.issued2011en_US
dc.description.abstractAs 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.en_US
dc.identifier.urihttps://dspace.univ-tlemcen.dz/handle/112/2322en_US
dc.language.isoenen_US
dc.publisherUniversity of Tlemcenen_US
dc.subjectMedical imageen_US
dc.subjectCompressionen_US
dc.subjectBiorthgonal waveletsen_US
dc.subjectCDF9/7en_US
dc.subjectLifting schemeen_US
dc.subjectSPIHTen_US
dc.titleImproving Quality of Medical Image Compression Using Biorthogonal CDF Wavelet Based on Lifting Scheme and SPIHT Codingen_US
dc.typeArticleen_US

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