Gray Scale and Color Medical Image Compression by Lifting Wavelet; Bandelet and Quincunx Wavelets Transforms : A Comparison Study

Gray Scale and Color Medical Image Compression by Lifting Wavelet; Bandelet and Quincunx Wavelets Transforms : A Comparison Study

Boukli Hacene Ismail

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A.Bessaid

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1 University of Tlemcen 13000, Algeria

GJCST Volume 14 Issue C7

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Gray Scale and Color Medical Image Compression by Lifting Wavelet; Bandelet and Quincunx Wavelets Transforms : A Comparison Study Banner

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.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Boukli Hacene Ismail. 2014. \u201cGray Scale and Color Medical Image Compression by Lifting Wavelet; Bandelet and Quincunx Wavelets Transforms : A Comparison Study\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C7): .

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GJCST Volume 14 Issue C7
Pg. 13- 19

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

bandelet transform biorthogonal wavelet 9/7 compression Lifting Scheme medical image optical flow quadtree segmentation quincunx wavelet SPIHT

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Submission ReceivedDecember 13, 2013
RevisedDecember 13, 2013
Peer Review Double Blind
Handling Editor
Accepted January 5, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

September 25, 2014

Language

English

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Total Score: 102

Country: Algeria

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Boukli Hacene Ismail, A.Bessaid (PhD/Dr. count: 0)

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Total Views: 8699

Total Downloads: 2280

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