Image Representation by Localized Phase

Yehoshua Y. Zeevi; Moshe Porat

doi:10.1117/12.970159

1 November 1989 Image Representation by Localized Phase

Yehoshua Y. Zeevi, Moshe Porat

Author Affiliations +

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970159
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

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Yehoshua Y. Zeevi, Yehoshua Y. Zeevi, Moshe Porat, Moshe Porat, } "Image Representation by Localized Phase", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970159; https://doi.org/10.1117/12.970159

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