Restoration of Degraded Images Using Pupil-Size Diversity Technology With Stochastic Parallel Gradient Descent Algorithm

The performance of imaging systems is inevitably degraded by aberrations of optical systems. Furthermore, images detected by long-distance imaging schemes also suffer blurring induced by atmospheric turbulence. To address this problem, we propose and demonstrate an aberration-free imaging procedure...

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Bibliographic Details
Published in:IEEE photonics journal Vol. 8; no. 2; pp. 1 - 10
Main Authors: Xie, Zongliang, Ma, Haotong, Qi, Bo, Ren, Ge, Tan, Yufeng, He, Bi, Zeng, Hengliang, Jiang, Chuan
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.04.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Aberration
aberration elimination
Adaptive optics
Algorithms
Degradation
Descent
Image reconstruction
Image restoration
Imaging
nonlinear optimization
Optical distortion
Optical filters
Optical imaging
Optical sensors
Pupil-size diversity
Pupils
stochastic parallel gradient descent (SPGD) algorithm
Stochasticity
Pupil-size diversity
aberration elimination
stochastic parallel gradient descent (SPGD) algorithm
nonlinear optimization
ISSN:1943-0655, 1943-0647
Online Access:Get full text
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Summary:The performance of imaging systems is inevitably degraded by aberrations of optical systems. Furthermore, images detected by long-distance imaging schemes also suffer blurring induced by atmospheric turbulence. To address this problem, we propose and demonstrate an aberration-free imaging procedure in this paper, which is termed pupil-size diversity technology. With no additional optical element, the reported technique first acquires several intensity images only by simply resizing the pupil of an imaging system. The spatial difference of pupil areas generates pupil diversity. Then, based on the nonlinear optimization method, a high-quality image eliminating distortions can be reconstructed by processing the multiple diversity images with the stochastic parallel gradient descent algorithm. Comparative results of simulations and experiments, for correcting inner and external aberrations, respectively, verify the validity. The proposed technology in this paper may provide an alternative for adaptive optics systems and find wide applications in computational photography and remote sensing.
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ISSN:1943-0655
1943-0647
DOI:10.1109/JPHOT.2016.2541861