High-accuracy wave field reconstruction: decoupled inverse imaging with sparse modeling of phase and amplitude
Author(s) -
Vladimir Katkovnik,
Jaakko Astola
Publication year - 2011
Publication title -
journal of the optical society of america a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.803
H-Index - 158
eISSN - 1520-8532
pISSN - 1084-7529
DOI - 10.1364/josaa.29.000044
Subject(s) - amplitude , inverse problem , wavefront , phase (matter) , gaussian , field (mathematics) , iterative reconstruction , physics , operator (biology) , wave propagation , algorithm , computer science , optics , mathematics , mathematical analysis , artificial intelligence , biochemistry , chemistry , repressor , quantum mechanics , transcription factor , pure mathematics , gene
We apply a nonlocal adaptive spectral transform for sparse modeling of phase and amplitude of a coherent wave field. The reconstruction of this wave field from complex-valued Gaussian noisy observations is considered. The problem is formulated as a multiobjective constrained optimization. The developed iterative algorithm decouples the inversion of the forward propagation operator and the filtering of phase and amplitude of the wave field. It is demonstrated by simulations that the performance of the algorithm, both visually and numerically, is the current state of the art.
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