Paper
4 May 2012 Advanced multi-plane phase retrieval using graphic processing unit: augmented Lagrangian technique with sparse regularization
Artem Migukin, Vladimir Katkovnik, Jaakko Astola
Author Affiliations +
Abstract
In our work we demonstrate a computational method of phase retrieval realized for various propagation models. The effects, arising due to the wave field propagation in an optical setup, lead to significant distortions in measurements; therefore the reconstructed wave fields are noisy and corrupted by different artifacts (e.g. blurring, "waves" on boards, etc.). These disturbances are hard to be specified, but could be suppressed by filtering. The contribution of this paper concerns application of an adaptive sparse approximation of the object phase and amplitude in order to improve imaging. This work is considered as a further development and improvement of the variational phase-retrieval algorithm originated in 1. It is shown that the sparse regularization enables a better reconstruction quality and substantial enhancement of imaging. Moreover, it is demonstrated that an essential acceleration of the algorithm can be obtained by a commodity graphic processing unit, what is crucial for processing of large images.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Artem Migukin, Vladimir Katkovnik, and Jaakko Astola "Advanced multi-plane phase retrieval using graphic processing unit: augmented Lagrangian technique with sparse regularization", Proc. SPIE 8429, Optical Modelling and Design II, 84291N (4 May 2012); https://doi.org/10.1117/12.922343
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reconstruction algorithms

Wave propagation

Phase retrieval

Sensors

Graphics processing units

Matrices

Algorithm development

Back to Top