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Proceedings Paper

Sparsity assisted phase retrieval of complex valued objects
Author(s): Charu Gaur; Kedar Khare
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Paper Abstract

Iterative phase retrieval of complex valued objects (phase objects) suffers from twin image problem due to the presence of features of image and its complex conjugate in the recovered solution. The twin-image problem becomes more severe when object support is centro-symmetric. In this paper, we demonstrate that by modifying standard Hybrid-Input output (HIO) algorithm using an adaptive sparsity enhancement step, the twin-image problem can be addressed successfully even when the object support is centro-symmetric. Adaptive sparsity enhanced algorithm and numerical simulation for binary as well as gray scale phase objects are presented. The high quality phase recovery results presented here show the effectiveness of adaptive sparsity enhanced algorithm.

Paper Details

Date Published: 29 April 2016
PDF: 6 pages
Proc. SPIE 9896, Optics, Photonics and Digital Technologies for Imaging Applications IV, 98960G (29 April 2016); doi: 10.1117/12.2227165
Show Author Affiliations
Charu Gaur, Indian Institute of Technology Delhi (India)
Delhi Institute of Tool Engineering (India)
Kedar Khare, Indian Institute of Technology Delhi (India)


Published in SPIE Proceedings Vol. 9896:
Optics, Photonics and Digital Technologies for Imaging Applications IV
Peter Schelkens; Touradj Ebrahimi; Gabriel Cristóbal; Frédéric Truchetet; Pasi Saarikko, Editor(s)

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