Development Of Image Compression Algorithms For Mammography Images

Development Of Image Compression Algorithms For Mammography Images

In this research, a compression framework is proposed which possesses the desirable feature for mammogram compression. These features include the ability to support both lossless and lossy compression, low complexity, and flexibility in terms of the visual properties of the decompressed images. This...

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Main Author: Abdul Karim, Mustafa Safa
Format: Thesis
Published: 2007
Subjects:
RG491 Diseases of the Breast
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id my-mmu-ep.1293
record_format uketd_dc
spelling my-mmu-ep.12932010-08-19T04:00:38Z Development Of Image Compression Algorithms For Mammography Images 2007-11 Abdul Karim, Mustafa Safa RG491 Diseases of the Breast In this research, a compression framework is proposed which possesses the desirable feature for mammogram compression. These features include the ability to support both lossless and lossy compression, low complexity, and flexibility in terms of the visual properties of the decompressed images. This framework overcomes the shortcomings of existing methods, and is used to design a complete compression system for mammograms. The framework is comprised of two stages. 2007-11 Thesis http://shdl.mmu.edu.my/1293/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library
institution Multimedia University
collection MMU Institutional Repository
topic RG491 Diseases of the Breast
spellingShingle RG491 Diseases of the Breast
Abdul Karim, Mustafa Safa
Development Of Image Compression Algorithms For Mammography Images
description In this research, a compression framework is proposed which possesses the desirable feature for mammogram compression. These features include the ability to support both lossless and lossy compression, low complexity, and flexibility in terms of the visual properties of the decompressed images. This framework overcomes the shortcomings of existing methods, and is used to design a complete compression system for mammograms. The framework is comprised of two stages.
format Thesis
qualification_level Master's degree
author Abdul Karim, Mustafa Safa
author_facet Abdul Karim, Mustafa Safa
author_sort Abdul Karim, Mustafa Safa
title Development Of Image Compression Algorithms For Mammography Images
title_short Development Of Image Compression Algorithms For Mammography Images
title_full Development Of Image Compression Algorithms For Mammography Images
title_fullStr Development Of Image Compression Algorithms For Mammography Images
title_full_unstemmed Development Of Image Compression Algorithms For Mammography Images
title_sort development of image compression algorithms for mammography images
granting_institution Multimedia University
granting_department Research Library
publishDate 2007
_version_ 1747829337311150080

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