10 November 2010 Analysis of adaptive optics imaging for extended object based on the frequency spectrum entropy
Author Affiliations +
Abstract
Some classical image quality metrics are often used as system performance evaluation function, which is the optimized object of the control algorithm, when the Adaptive Optics (AO) system without a wave-front sensor is used to correct extended object imaging. However those metrics do not consider the existence of imaging noise. Practically, the observed object images are degraded not only by the atmospheric turbulence but also imaging system noise. The noise in image will affect the value of image quality metric and further affect the correction capability of AO system. An AO system with Stochastic Parallel Gradient Descent (SPGD) algorithm and a 61-element deformable mirror is simulated to restore the image of a turbulence-degraded extended object and the metric based on the frequency spectrum entropy is acted as the optimized object by control algorithm. Based on the simulation mode, the correction capability of the AO system is investigated through wave-front aberrations under different turbulence strength with different noise. Numerical simulation results verify the metric based on the Frequency Spectrum Entropy (FSE) is effective when the noise of imaging system is considered and the correction capability of the AO system is improved obviously.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huizhen Yang, Huizhen Yang, Zhitao Wu, Zhitao Wu, } "Analysis of adaptive optics imaging for extended object based on the frequency spectrum entropy", Proc. SPIE 7850, Optoelectronic Imaging and Multimedia Technology, 785029 (10 November 2010); doi: 10.1117/12.870492; https://doi.org/10.1117/12.870492
PROCEEDINGS
7 PAGES


SHARE
Back to Top