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Using Spherical-Harmonics Expansions for Optics Surface Reconstruction from Gradients

Authors :
Juan Manuel Solano-Altamirano
Alejandro Vázquez-Otero
Danila Khikhlukha
Raquel Dormido
Natividad Duro
Source :
Sensors, Vol 17, Iss 12, p 2780 (2017)
Publication Year :
2017
Publisher :
MDPI AG, 2017.

Abstract

In this paper, we propose a new algorithm to reconstruct optics surfaces (aka wavefronts) from gradients, defined on a circular domain, by means of the Spherical Harmonics. The experimental results indicate that this algorithm renders the same accuracy, compared to the reconstruction based on classical Zernike polynomials, using a smaller number of polynomial terms, which potentially speeds up the wavefront reconstruction. Additionally, we provide an open-source C++ library, released under the terms of the GNU General Public License version 2 (GPLv2), wherein several polynomial sets are coded. Therefore, this library constitutes a robust software alternative for wavefront reconstruction in a high energy laser field, optical surface reconstruction, and, more generally, in surface reconstruction from gradients. The library is a candidate for being integrated in control systems for optical devices, or similarly to be used in ad hoc simulations. Moreover, it has been developed with flexibility in mind, and, as such, the implementation includes the following features: (i) a mock-up generator of various incident wavefronts, intended to simulate the wavefronts commonly encountered in the field of high-energy lasers production; (ii) runtime selection of the library in charge of performing the algebraic computations; (iii) a profiling mechanism to measure and compare the performance of different steps of the algorithms and/or third-party linear algebra libraries. Finally, the library can be easily extended to include additional dependencies, such as porting the algebraic operations to specific architectures, in order to exploit hardware acceleration features.

Details

Language :
English
ISSN :
14248220
Volume :
17
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.4cdbb13de1944988272b56643d09bad
Document Type :
article
Full Text :
https://doi.org/10.3390/s17122780