Composite model of a 3-D imageThis 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 simulation of two non-linear predictors in the case of perfect classification between subsources.
Document ID
19810055150
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Dukhovich, I. J. (California Institute of Technology, Jet Propulsion Laboratory, Pasadena CA, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1980
Subject Category
Cybernetics
Meeting Information
Meeting: Seminar on Advances in image transmission II