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Proceedings Paper

A Pyramid Of Image Generating Functions
Author(s): B. Hason; Y. Y. Zeevi
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Paper Abstract

An image is modeled by a two-parameter stochastic process generated by splitting a pixel into a block of 2 X 2 pixels thereby obtaining a higher resolution image. This sequential reproduction process is achieved by using a sequence of random variables as multipliers. In the analysis of image structure we apply the model in the reverse order, i.e. estimate the sequence of random variables which generates the image. The size of matrices representing the stochastic processes show a pyramidal structure when increasing or decreasing the resolution. The features characterizing an image are provided by analysis of the properties of estimated stochastic processes at each level of the pyramid, and by comparison of properties characteristic of consecutive levels of the pyramid. As a byproduct of this image structure analysis, our approach suggests a new method for data compression.

Paper Details

Date Published: 13 October 1987
PDF: 7 pages
Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); doi: 10.1117/12.976513
Show Author Affiliations
B. Hason, Technion - Israel Institute of Technology (Israel)
Y. Y. Zeevi, Technion - Israel Institute of Technology (Israel)


Published in SPIE Proceedings Vol. 0845:
Visual Communications and Image Processing II
T. Russell Hsing, Editor(s)

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