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Proceedings Paper

Image Representation by Localized Phase
Author(s): Yehoshua Y. Zeevi; Moshe Porat
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Paper Abstract

Localized phase is extracted from images represented in the combined frequency- position space. It is shown that images represented by localized phase-only information reproduce adequately the edge relationship while compressing the gray level information, unlike the localized magnitude-only representation that distorts the edge information. We address the issue of the number of quantization levels required for adequate representation by localized phase, and present an analytical expression of the resultant image as well as computational examples. We show that image reconstruction from localized phase-only is more efficient than image reconstruction from global (Fourier) phase in that the number of required computer operations is reduced and the rate of convergence is improved. The computation efficiency can be further improved by implementation of highly- parallel architecture.

Paper Details

Date Published: 1 November 1989
PDF: 6 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970159
Show Author Affiliations
Yehoshua Y. Zeevi, Rutgers University (United States)
Moshe Porat, Technion - Israel Institute of Technology (Israel)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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