Paper
30 November 1992 Iterative least-squares reconstruction of the Fourier phase of an image from the modulo-2π phase of its bispectrum
A. Tanju Erdem, M. Ibrahim Sezan
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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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Tanju Erdem and M. Ibrahim Sezan "Iterative least-squares reconstruction of the Fourier phase of an image from the modulo-2π phase of its bispectrum", Proc. SPIE 1770, Advanced Signal Processing Algorithms, Architectures, and Implementations III, (30 November 1992); https://doi.org/10.1117/12.130950
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Cited by 4 scholarly publications.
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KEYWORDS
Tantalum

Reconstruction algorithms

Stereolithography

Image restoration

Aluminum

Image quality

Phase measurement

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