Medical Image Compression – Performance Analysis based on Decomposition Level

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Paper Details

Paper Title

Medical Image Compression – Performance Analysis based on Decomposition Level

Authors

Y S Sumathy, Dr Andhe Pallavi

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Abstract

Today medical images are stored in PACS and the future being Cloud storage. Be it PACS or Cloud the cost per GB storage is very high. Compression is predominantly the only solution to reduce the size. Among the several compression methods, wavelet based compression method is popular due to their multiresolution property. For automatic compression of medical images using wavelets it is very much important to find the optimum algorithm, wavelet, encoding loop and decomposition level. In this paper wavelet based SPIHT algorithm in combination with bior4.4 is used to study the performance at different decomposition level.

Keywords- Medical Image Compression, Decomposition Level, SPIHT, Wavelets

Publication Details

Unique Identification Number - IJEDR1704061
Page Number(s) - 385-390
Pubished in - Volume 5 | Issue 4 | November 2017
DOI (Digital Object Identifier) -
Publisher - IJEDR (ISSN - 2321-9939)

Cite this Article

Y S Sumathy, Dr Andhe Pallavi, "Medical Image Compression – Performance Analysis based on Decomposition Level", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.385-390, November 2017, Available at :http://www.ijedr.org/papers/IJEDR1704061.pdf

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