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Proceedings Paper

Inadequacies Of The Markov Model In Linear Predictive Coding Of Images
Author(s): R. C. Booton; P. J. Ready
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Paper Abstract

This paper describes a rather fundamental conflict between the theoretical and actual performance of differential pulse code modulation (DPCM) when operating on image data. Under the ubiquitous assumption of an exponential image autocorrelation function (Markov Model) and unity predictor weights in the DPCM loop, the one dimensional DPCM (1-D DPCM) predictor is theoretically "better than" the 2-D DPCM predictor. This result, we believe, conflicts with both intuition and practice. We begin by defining DPCM, the predictor error, and the exponential autocorrelation model. Theoretical performance measures for 1- and 2-D DPCM are computed and compared with the results for actual image data. Finally, we discuss possible reasons for the apparent discrepancies between theory and practice.

Paper Details

Date Published: 13 December 1976
PDF: 8 pages
Proc. SPIE 0087, Advances in Image Transmission Techniques, (13 December 1976); doi: 10.1117/12.954997
Show Author Affiliations
R. C. Booton, TRW Defense and Space Systems Group (United States)
P. J. Ready, TRW Defense and Space Systems Group (United States)


Published in SPIE Proceedings Vol. 0087:
Advances in Image Transmission Techniques
Andrew G. Tescher, Editor(s)

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