摘要
提出了一种基于ARTUR算法的气动光学效应图像校正方法。该方法利用一些合理的先验知识对大气扰动退化模型(点扩展函数)进行规化,将求解问题转化为带惩罚项的准则函数的优化估计问题,通过ARTUR算法快速迭代估计点扩展函数值,进而对气动光学效应引起的退化图像进行校正。论述了ARTUR算法的性质,给出了实验结果。
The method of image reconstruction uses some reasonable prior information to regularize the atmosphere turbulence degradation model (point spread function). The problem of calculation is transformed into optimization estimation of the criterion function with penalty term. The PSF values are estimated iteratively by ARTUR algorithm and then the images degraded by aero\|optic effect are reconstructed. The quality of ARTUR algorithm is discussed and an experiment on image reconstruction is given .
出处
《红外与激光工程》
EI
CSCD
北大核心
2003年第4期377-381,共5页
Infrared and Laser Engineering
基金
航天科技创新基金项目(20010042)
中法先进研究计划合作项目(PRASI01 03)
