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Proceedings Paper

Iterative least-squares reconstruction of the Fourier phase of an image from the modulo-2π phase of its bispectrum
Author(s): A. Tanju Erdem; M. Ibrahim Sezan
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Paper Abstract

We propose a novel technique for the least-squares reconstruction of the Fourier phase of an image from the modulo-2(pi) phase of its bispectrum. The proposed technique unwraps the given bispectral phase and reconstructs the Fourier phase of the image iteratively through alternating projections onto two particular constraint sets: (1) the set of bispectral phase functions that differ from the given modulo-2(pi) bispectral phase by only integral multiples of 2(pi) at every sample point, and (2) the set of bispectral phase functions that correspond to deterministic signals. We formally define the above sets and their corresponding projection operators. We describe the iterative algorithm in detail, and provide experimental results to demonstrate its performance.

Paper Details

Date Published: 30 November 1992
PDF: 11 pages
Proc. SPIE 1770, Advanced Signal Processing Algorithms, Architectures, and Implementations III, (30 November 1992); doi: 10.1117/12.130950
Show Author Affiliations
A. Tanju Erdem, Eastman Kodak Co. (United States)
M. Ibrahim Sezan, Eastman Kodak Co. (United States)


Published in SPIE Proceedings Vol. 1770:
Advanced Signal Processing Algorithms, Architectures, and Implementations III
Franklin T. Luk, Editor(s)

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