基于约束共轭梯度的高能闪光照相图像复原算法  

Constrained conjugate gradient algorithm for image restoration in high-energy radiography

作　　者：景越峰[1] 张小琳[1] 管永红[1] 刘瑞根[1] 

机构地区：[1]中国工程物理研究院流体物理研究所,四川绵阳621900

出　　处：《强激光与粒子束》2009年第2期277-280,共4页High Power Laser and Particle Beams

基　　金：中国工程物理研究院科学技术发展基金资助课题(2007B01006)

摘　　要：针对闪光照相系统模糊较大、成像信噪比低的特点,提出了一种基于约束共轭梯度的闪光照相图像复原算法,将闪光照相图像复原问题转化为一个约束优化问题,引入基于非负、中值滤波和偏微分方程的光滑约束条件,并利用约束共轭梯度法迭代求最优解。数值试验表明,该算法能较好再现图像边缘信息,复原出的图像在信噪比和视觉方面都有较大提高。A constrained conjugate gradient（CCG） restoration algorithm is proposed for badly blurred and noised high-energy radiography images. Constrained with prior knowledge, the algorithm converts the restoration problem to a constrained optimization one, which can be solved with the conjugate gradient algorithm. Since image restoration is an ill-posed problem, median filter and partial differential equation（PDE） are used to eonstrain the smoothness of deblurred image. Numerical experiment results show that the algorithm can properly retrieve edges and reduce noise simultaneously, and especially the signal to noise ratio（SNR） and subjective visual effect of the restored images are improved significantly.

关 键 词：约束共轭梯度 偏微分方程 闪光照相 图像复原 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]