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Optical Engineering • Open Access • new

Sparse superresolution phase retrieval from phase-coded noisy intensity patterns
Author(s): Vladimir Y. Katkovnik; Karen Egiazarian

Paper Abstract

We consider a computational superresolution inverse diffraction problem for phase retrieval from phase-coded intensity observations. The optical setup includes a thin lens and a spatial light modulator for phase coding. The designed algorithm is targeted on an optimal solution for Poissonian noisy observations. One of the essential instruments of this design is a complex-domain sparsity applied for complex-valued object (phase and amplitude) to be reconstructed. Simulation experiments demonstrate that good quality imaging can be achieved for high-level of the superresolution with a factor of 32, which means that the pixel of the reconstructed object is 32 times smaller than the sensor’s pixel. This superresolution corresponds to the object pixel as small as a quarter of the wavelength.

Paper Details

Date Published: 11 September 2017
PDF: 11 pages
Opt. Eng. 56(9) 094103 doi: 10.1117/1.OE.56.9.094103
Published in: Optical Engineering Volume 56, Issue 9
Show Author Affiliations
Vladimir Y. Katkovnik, Tampere Univ. of Technology (Finland)
Karen Egiazarian, Tampere Univ. of Technology (Finland)

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