Avanaki, M.R.N., Mazraeh Khoshki, R., Hojjatoleslami, S.A., Podoleanu, Adrian G.H. (2012) Sensor-less aberration correction in optical imaging systems using blind optimization. In: SPIE Proceedings Series. 3rd Asia Pacific Optical Sensors Conference. 8351. Spie-Int Soc Optical Engineering ISBN 978-0-8194-9027-8. (doi:10.1117/12.914228) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:49377)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1117/12.914228 |
Abstract
The imperfection of optical devices in an optical imaging system deteriorates wavefront which results in aberration. This reduces the optical signal to noise ratio of the imaging system and the quality of the produced images. Adaptive optics composed of wavefront sensor (WFS) and deformable mirror (DM) is a straightforward solution for this problem. The need for a WFS in an AO system, raises the cost of the overall system, and there are also instances when they cannot be used, such as in microscopy. Moreover stray reflections from lens surfaces affect the performance of the WFS. In this paper, we describe a blind optimization technique with an in-expensive electronics without using the WFS to correct the aberration in order to achieve better quality images. The correction system includes an electromagnetic DM from Imagine, Mirao52d, with 52 actuators which are controlled by particle swarm optimization (PSO) algorithm. The results of the application of simulated annealing (SA), and genetic algorithm (GA) techniques that we have implemented in the sensor-less AO are used for comparison. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
Item Type: | Conference or workshop item (Proceeding) |
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DOI/Identification number: | 10.1117/12.914228 |
Uncontrolled keywords: | Aberration correction; genetic algorithm; particle swarm optimization; simulated annealing algorithm |
Subjects: |
Q Science > QC Physics Q Science > QC Physics > QC355 Optics |
Divisions: | Divisions > Division of Natural Sciences > Physics and Astronomy |
Depositing User: | Giles Tarver |
Date Deposited: | 16 Jul 2015 11:19 UTC |
Last Modified: | 05 Nov 2024 10:33 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/49377 (The current URI for this page, for reference purposes) |
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