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Proceedings Paper

Data Compression Of X-Ray Images By Adaptive Differential Pulse Code Modulation (DPCM) Coding
Author(s): Leonard A. Lehmann; Albert Macovski
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Paper Abstract

The intolerance of medical images to error places special demands on data reduction techniques. Quantization in the spatial or transform domains, widely studied in other data compression applications, is irreversible and therefore not applicable to medical image coding. Rather, we must rely on effective prediction and prediction error coding. This paper compares seven differential pulse code modulation (DPCM) predictors on the basis of average prediction error and channel induced error propagation. A Laplacian model of prediction error distribution suggests a simple family of variable length codes and an algorithm for adaptively selecting that code which best suits the anticipated predictor performance.

Paper Details

Date Published: 4 November 1981
PDF: 9 pages
Proc. SPIE 0314, Digital Radiography, (4 November 1981); doi: 10.1117/12.933075
Show Author Affiliations
Leonard A. Lehmann, Stanford University (United States)
Albert Macovski, Stanford University (United States)


Published in SPIE Proceedings Vol. 0314:
Digital Radiography
William R. Brody, Editor(s)

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