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Proceedings Paper

Composite Model Of A 3-D Image
Author(s): I. J. Dukhovich
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Paper Abstract

This paper presents a composite model of a moving (3-D) image especially useful for the sequential image processing and encoding. A non-linear predictor based on the composite model is described. The performance of this predictor is used as a measure of the validity of the model for a real image source. The minimization of a total mean square prediction error provides an inequality which determines a condition for the profitable use of the composite model and can serve as a decision device for the selection of the number of subsources within the model. The paper also describes statistical properties of the prediction error and contains results of computer simultation of two non-linear predictors in the case of perfect classification between subsources.

Paper Details

Date Published: 11 November 1980
PDF: 19 pages
Proc. SPIE 0249, Advances in Image Transmission II, (11 November 1980); doi: 10.1117/12.959402
Show Author Affiliations
I. J. Dukhovich, Jet Propulsion Lab. (United States)

Published in SPIE Proceedings Vol. 0249:
Advances in Image Transmission II
Andrew G. Tescher, Editor(s)

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