Image restoration through thin turbid layers by correlation with a known object
Author(s) -
Hexiang He,
Yefeng Guan,
Jianying Zhou
Publication year - 2013
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.21.012539
Subject(s) - optics , wavefront , image restoration , spatial light modulator , point spread function , deformable mirror , spatial frequency , computer science , adaptive optics , physics , light scattering , computer vision , correlation coefficient , optical transfer function , iterative reconstruction , wavefront sensor , artificial intelligence , image processing , scattering , image (mathematics) , machine learning
A method to recover the image of an object behind thin turbid layers is developed by wavefront shaping technique. The optimized wavefront is generated by modulating the scattering light of a known object with a spatial light modulator. A Pearson Correlation Coefficient is introduced as a cost function for the optimization. A beam scanning method based on optical memory effect is proposed to further enlarge the Field-of-View (FOV). The experimental results show good fidelity and large FOV of the recovered image.
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