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Lossless compression of medical images

Authors: Kılıç, Behiç Fırat;

Lossless compression of medical images

Abstract

Ankara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent Univ., 1991. Thesis (Master's) -- Bilkent University, 1991. Includes bibliographical references. The digital imaging techniques are used more and more in various diagnostic modalities, including computed tomography (CT), Digital Subtraction .A.ngiography (DSA), etc. As a result, a huge amount of digital images are being generated. Therefore, techniques to compress these images into a more compact form for storage and transmission become more important and anyone involved with the storage of medical images in a Picture Archiving and Communication System (PACS) should first apply compression (lossy or lossless depending on the characteristics of the digitized data) on them. There are image coding methods which reduces the storage size of an image b}' an amount of 1/10 without any visual degradation. But in some medical applications lossless coding of medical images is necessary. Multiresolution coding techniques have been used for lossy image and speech coding, in this thesis we developed multiresolution techniques for the lossless image compression. We observed that the use of multiresolution techniques in lossless compression is as advantages as in lossy compression schemes. Kılıç, Behiç Fırat M.S.

Country
Turkey
Related Organizations
Keywords

Image processing--Digital techniques, Image processing--Digital techniques., Image compression--Data processing, 004, TA1637 .K55 1991, Image compression--Data processing.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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