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Abstract: This paper formulates and proposes solutions to the problem of estimating/reconstructing the absolute (not simply modulo-2) phase of a complex random field from noisy observations of its real and imaginary parts. This problem is representative of a class of important imaging techniques such as interferometric synthetic aperture radar, optical interferometry, magnetic resonance imaging, and diffraction tomography. We follow a Bayesian approach; then, not only a probabilistic model of the... (Update)
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BibTeX entry: (Update)
J. Leitao and M. Figueiredo, "Absolute phase image reconstruction: A stochastic nonlinear filtering approach", IEEE Trans. Image Processing,vol. 7, June 1997. http://citeseer.ist.psu.edu/leitao98absolute.html More
@misc{ leitao97absolute,
author = "J. Leitao and M. Figueiredo",
title = "Absolute phase image reconstruction: A stochastic nonlinear filtering approach",
text = "J. Leitao and M. Figueiredo, Absolute phase image reconstruction: A stochastic
nonlinear filtering approach, IEEE Trans. Image Processing,vol. 7, June
1997.",
year = "1997",
url = "citeseer.ist.psu.edu/leitao98absolute.html" }
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