Adaptive context coding for lossless compression of medical gray scale images.

Anthony J. Maeder, Peter E. Tischer, Roderick T. Worley

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Models for the prediction error distribution in losslessly encoded gray scale images are explored. The prediction error distribution results from the use of linear predictors but the techniques used in the paper may also be applied to distributions which arise from the use of other methods to encode losslessly digital images. A compact method for representing the prediction error distribution for 12-bit grey scale images is used and the trade-off between space required for a distribution and the use of multiple distributions is investigated. Models considered include zeroth and first order Markov models. The variation of the prediction error distribution over the image is considered and shown to be important in achieving better compression. Choosing the predictor formula adaptively is also investigated.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsYongmin Kim
PublisherPubl by Society of Photo-Optical Instrumentation Engineers
Pages248-258
Number of pages11
Volume1897
ISBN (Print)0819411299
DOIs
Publication statusPublished - 30 Jun 1993
Externally publishedYes
EventMedical Imaging 1993: Image Capture, Formatting, and Display - Newport Beach, CA, USA
Duration: 17 Jan 199322 Jan 1993

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1897
ISSN (Print)0277-786X

Conference

ConferenceMedical Imaging 1993: Image Capture, Formatting, and Display
CityNewport Beach, CA, USA
Period17/01/9322/01/93

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