摘要
针对天文图像受大气影响而变模糊的问题,利用多帧盲去卷积方法对变质图像的恢复及点扩展函数的辨识进行了研究,并采用基于受惩极大似然估计的GEM改进算法从模糊图像序列中得到目标以及点扩展函数的迭代解。实验结果表明该算法能有效地恢复出原物体并估计出点扩散函数。
A multi-frame blind deconvolution method is presented for the restoration of the astronomical object which has been degraded mainly by the turbulence and the identification of the point spread function. By using the improved generalized expectation-maximization on the base of the penalized maximum-likelihood estimation method, iterative algorithm is obtained to solve the above problems. Experimental results show that the method is effective and robust.
出处
《红外与激光工程》
EI
CSCD
北大核心
2004年第6期626-628,共3页
Infrared and Laser Engineering
基金
国家863资助项目(2002AA731212)
国家自然科学基金资助重点项目(60135020)
关键词
多帧盲去卷积
受惩极大似然估计
GEM算法
Algorithms
Degradation
Integral equations
Iterative methods
Maximum likelihood estimation
Set theory
Turbulence
