Lossless compression of segmented biomedical images with an adaptive arithmetic coding model

Gilberto Zamora, Sunanda Mitra

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

Any image can be segmented into regions containing information without the background that can be added at the reconstruction stage thus providing a lossless compression of approximately 3:1 in most cases. When this segmentation process is combined with an adaptive arithmetic coding model, an extremely efficient and powerful lossless coding model yielding compression ratios up to 9:1 can be developed. Such models will be quite useful for archiving wide varieties of biomedical images losslessly.

Original languageEnglish
Pages (from-to)196-200
Number of pages5
JournalProceedings of the IEEE Symposium on Computer-Based Medical Systems
StatePublished - 1999
EventProceedings of the 1999 12th IEEE Symposium on Computer-Based Medical Systems (CBMS'99) - Stamford, CT, USA
Duration: Jun 18 1999Jun 20 1999

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