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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!