Literature DB >> 27661383

Proximity operators for phase retrieval.

Ferréol Soulez, Éric Thiébaut, Antony Schutz, André Ferrari, Frédéric Courbin, Michael Unser.   

Abstract

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.

Year:  2016        PMID: 27661383     DOI: 10.1364/AO.55.007412

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  3 in total

1.  Super-resolution microscopy for biological specimens: lensless phase retrieval in noisy conditions.

Authors:  Igor Shevkunov; Vladimir Katkovnik; Nikolay V Petrov; Karen Egiazarian
Journal:  Biomed Opt Express       Date:  2018-10-17       Impact factor: 3.732

2.  Compact in-line lensfree digital holographic microscope.

Authors:  Manon Rostykus; Ferréol Soulez; Michael Unser; Christophe Moser
Journal:  Methods       Date:  2017-11-21       Impact factor: 3.608

3.  Dictionary Learning Phase Retrieval from Noisy Diffraction Patterns.

Authors:  Joshin P Krishnan; José M Bioucas-Dias; Vladimir Katkovnik
Journal:  Sensors (Basel)       Date:  2018-11-16       Impact factor: 3.576

  3 in total

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