Paper
2 June 2014 New developments in transport of intensity equation for phase retrieval and computational imaging
Author Affiliations +
Proceedings Volume 9234, International Conference on Experimental Mechanics 2013 and Twelfth Asian Conference on Experimental Mechanics; 92340O (2014) https://doi.org/10.1117/12.2054325
Event: International Conference on Experimental Mechanics 2013 and the Twelfth Asian Conference on Experimental Mechanics, 2013, Bangkok, Thailand
Abstract
The commonly known transport of intensity equation (TIE) was proposed by Teague as a method for the deterministic optical phase-retrieval problem. The aim is to deduce optical phase from only intensity measurements using non-interferometric techniques. Compared to many other phase retrieval algorithms, TIE is non-iterative, purely computational and no complicated auxiliary device needs to be introduced. In this paper, we introduce some recent developments in TIE phase retrieval and microscopy: including its fast numerical solution, treatment of boundary problem and the low-frequency artifacts, and two configurations for dynamic phase imaging. We also reexamine TIE in terms of phase-space optics, demonstrating the effect of partially coherent illumination on phase reconstruction, and connecting it to light field imaging at the geometry optics limit.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anand Asundi and Chao Zuo "New developments in transport of intensity equation for phase retrieval and computational imaging", Proc. SPIE 9234, International Conference on Experimental Mechanics 2013 and Twelfth Asian Conference on Experimental Mechanics, 92340O (2 June 2014); https://doi.org/10.1117/12.2054325
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Phase retrieval

Wigner distribution functions

Digital holography

Geometrical optics

Phase imaging

Computational imaging

Signal to noise ratio

Back to Top