Image reconstruction through thin scattering media by simulated annealing algorithm

•A novel phase optimization approach to image restoration through scattering media is proposed.•This approach aims to improve the converging speed and susceptibility.•The mechanism relies on global optimization of simulated annealing algorithm. An idea for reconstructing the image of an object behin...

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Bibliographic Details
Published in:Optics and lasers in engineering 2018-07, Vol.106, p.105-110
Main Authors: Fang, Longjie, Zuo, Haoyi, Pang, Lin, Yang, Zuogang, Zhang, Xicheng, Zhu, Jianhua
Format: Article
Language:English
Subjects:
Image reconstruction
Scattering media
Simulated annealing algorithm
Wavefront shaping
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Summary:•A novel phase optimization approach to image restoration through scattering media is proposed.•This approach aims to improve the converging speed and susceptibility.•The mechanism relies on global optimization of simulated annealing algorithm. An idea for reconstructing the image of an object behind thin scattering media is proposed by phase modulation. The optimized phase mask is achieved by modulating the scattered light using simulated annealing algorithm. The correlation coefficient is exploited as a fitness function to evaluate the quality of reconstructed image. The reconstructed images optimized from simulated annealing algorithm and genetic algorithm are compared in detail. The experimental results show that our proposed method has better definition and higher speed than genetic algorithm.
ISSN:0143-8166
1873-0302
DOI:10.1016/j.optlaseng.2018.02.020