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Fast algorithm for blind optimization of optical systems. Statistics and methodology

M. R. N. AVANAKI1,2, Y. LONG3, M.-A. PAUN4,* , S. A. HOJJATOLESLAMI1, A. GH. PODOLEANU2

Affiliation

  1. Medical Image computing group, School of Biosciences, University of Kent, Canterbury, CT2 7PD, United Kingdom
  2. Applied Optics Group, School of Physical Sciences, University of Kent, Canterbury, CT2 7NH, United Kingdom
  3. Mathematics department, University of Cambridge, Cambridge, C2 7PD, United Kingdom
  4. Electronics Lab, EPFL (Swiss Federal Institute of Technology), CH-1015 Lausanne, Switzerland

Abstract

Adaptive Optics (AO) improves the efficiency of the optical devices in confocal imaging systems by reducing wavefront aberrations. Aberration is caused by imperfections within the system and reduces the optical signal to noise ratio of the resultant images besides deteriorating the quality of the images. An adaptive optics system comprises a wavefront sensor and a deformable mirror (DM), is a straightforward solution to compensate for this distortion. In confocal microscopy, the wavefront sensor can be supplanted with an optimization algorithm. We have previously implemented the general simulated annealing (SA) algorithm for optimizing confocal microscopes. In this paper the modified version of the simulated annealing algorithm, fast simulated annealing (FSA) is investigated which takes less than one hundredth of the optimization time required by the general version..

Keywords

Fast simulated annealing (FSA), Blind optimization, Adaptive Optics (AO), Boltzmann distribution, Optical system.

Submitted at: Oct. 17, 2012
Accepted at: Oct. 30, 2012

Citation

M. R. N. AVANAKI, Y. LONG, M.-A. PAUN, S. A. HOJJATOLESLAMI, A. GH. PODOLEANU, Fast algorithm for blind optimization of optical systems. Statistics and methodology, Journal of Optoelectronics and Advanced Materials Vol. 14, Iss. 11-12, pp. 976-982 (2012)