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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; we use this transform to study medical image compressed using the Quincunx transform coupled by SPIHT coder. We are interested in compressed medical image, In order to develop the compressed algorithm we compared our results with those obtained by this transforms application in medical image field. We concluded that the results obtained are very satisfactory for medical image domain. Our algorithm provides very important PSNR and MSSIM values for medical images compression.
Boukli Hacene Ismail, A.Bessaid. 2014. "Gray Scale and Color Medical Image Compression by Lifting Wavelet; Bandelet and Quincunx Wavelets Transforms : A Comparison Study". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C7).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 142
Country: Algeria
Subject: Global Journal of Computer Science and Technology
Authors: Boukli Hacene Ismail, A.Bessaid (PhD/Dr. count: 0)
View Count (all-time): 380
Total Views (Real + Logic): 2180
Total Downloads (simulated): 176
Publish Date: 2014 01, Wed
Monthly Totals (Real + Logic):
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