Biomedical image compression with vector quantization algorithm

Jenn Lung Su*, Chung Chih Lin, Jeng Ren Duann, Yuh Show Tsai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The objective of this paper is to evaluate the algorithms of data compression that can be used in the medical environment. the Vector Quantization (VQ) method for data compression is evaluated in comparison to fractal compression. Three different modalities of biomedical image are used. Both compression methods with a fixed compression ratio are evaluated by the peak signal to noise ratio (PSNR) of decompressed image and processing time.

Original languageEnglish
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages66-67
Number of pages2
Editionpt 1
ISBN (Print)0780313771
StatePublished - 1993
EventProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - San Diego, CA, USA
Duration: 28 Oct 199331 Oct 1993

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 1
Volume15
ISSN (Print)0589-1019

Conference

ConferenceProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CitySan Diego, CA, USA
Period28/10/9331/10/93

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  • Cite this

    Su, J. L., Lin, C. C., Duann, J. R., & Tsai, Y. S. (1993). Biomedical image compression with vector quantization algorithm. In Proceedings of the Annual Conference on Engineering in Medicine and Biology (pt 1 ed., pp. 66-67). (Proceedings of the Annual Conference on Engineering in Medicine and Biology; Vol. 15, No. pt 1). Publ by IEEE.