A New Performance Metric for Restoration of Turbulence-Degraded Extended Object

Author

Yang, Huizhen ; Zheng, Hongjie

Author_Institution

Inst. of Control Eng. Technol., Huaihai Inst. of Technol., Lianyungang, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

A new performance metric the gray level variance function is offered, which is merely from a gray level distorted image and without any additional optics elements. Based on Stochastic Parallel Gradient Descent (SPGD) and the gray level variance function, a high resolution imaging adaptive optics system with a 61-element deformable mirror is simulated to restore the turbulence-degraded extended object. SPGD is used to search the optimum voltages for the actuators of deformable mirror. Simulation results show the performance metric acts promising and its correction effect is very close to the least squares fitting.

Keywords

adaptive optics; image restoration; optical computing; deformable mirror; gray level distorted image; gray level variance function; high resolution imaging; imaging adaptive optics system; stochastic parallel gradient descent function; turbulence-degraded extended object; Actuators; Adaptive optics; Deformable models; High-resolution imaging; Image restoration; Measurement; Mirrors; Optical distortion; Stochastic systems; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5367080

Filename

5367080