We present a new formulation of a family of proximity operators that generalize the projector step for phase retrieval. These proximity operators for noisy intensity measurements can replace the classical "noise-free" projection in any projection-based algorithm. They are derived from a maximum-likelihood formulation and admit closed form solutions for both the Gaussian and the Poisson cases. In addition, we extend these proximity operators to under-sampled intensity measurements. To assess their performance, these operators are exploited in a classical Gerchberg-Saxton algorithm. We present numerical experiments showing that the reconstructed complex amplitudes with these proximity operators always perform better than using the classical intensity projector, while their computational overhead is moderate.
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http://dx.doi.org/10.1364/AO.55.007412 | DOI Listing |
Arch Orthop Trauma Surg
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Department of Orthopedics and Traumatology, University Medical Center Mainz, Mainz, Germany.
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College of Forestry, Northwest A&F University, No.3 Taicheng Road, Yangling, Shaanxi 712100, China; Shaanxi Key Laboratory of Economic Plant Resources Development and Utilization, Yangling, Shaanxi 712100, China. Electronic address:
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View Article and Find Full Text PDFNeuro Oncol
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