Adaptive context coding for lossless compression of medical grayscale images.

Anthony John Maeder; Peter E. Tischer; Roderick T. Worley

doi:10.1117/12.146972

30 June 1993 Adaptive context coding for lossless compression of medical grayscale images.

Anthony John Maeder; Peter E. Tischer; Roderick T. Worley

Author Affiliations +

Proceedings Volume 1897, Medical Imaging 1993: Image Capture, Formatting, and Display; (1993) https://doi.org/10.1117/12.146972
Event: Medical Imaging 1993, 1993, Newport Beach, CA, United States

Abstract

Models for the prediction error distribution in losslessly encoded grayscale 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 greyscale 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.

Citation Download Citation

Anthony John Maeder, Anthony John Maeder, Peter E. Tischer, Peter E. Tischer, Roderick T. Worley, Roderick T. Worley, } "Adaptive context coding for lossless compression of medical grayscale images.", Proc. SPIE 1897, Medical Imaging 1993: Image Capture, Formatting, and Display, (30 June 1993); doi: 10.1117/12.146972; https://doi.org/10.1117/12.146972

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