基于飞行参数约束的湍流退化图像快速复原算法  

Fast restoration algorithm based on constraint of flight parameters for the turbulence-degraded images

作　　者：肖利平[1] 陈安宏[1] 曹炬[1] 侯雄[1] 

机构地区：[1]北京航天自动控制研究所,北京100854

出　　处：《红外与激光工程》2008年第3期538-541,560,共5页Infrared and Laser Engineering

基　　金：国防基础预研项目

摘　　要：为了克服盲目去卷积求解点扩展函数中由于点扩展函数大小的不确定性引起的复原图像的模糊和振铃现象,提出了一种基于飞行参数估计点扩展函数大小的湍流退化图像快速复原算法。利用飞行参数中飞行马赫数、高度、攻角等已知的先验条件来估计点扩展函数大小,并建立了一个点扩展函数大小与飞行参数的函数表达式,解决了点扩展函数估计的盲目性,减少了估计时间,提高了退化图像复原校正的质量与速度。仿真试验结果表明:该方法对提高图像复原的速度与质量有明显效果。In order to overcome the blurring and ringing phenomena caused by the uncertainty of the point spread function （PSF） size in the algorithm of blind deconvolution, a fast restoration algorithm based on the flight parameters was presented to restore the turbulence-degraded images. The priori knowledge of flight parameters, such as Mach number, altitude and attack angle etc. were utilizd to estimate the PSF size. A function express was also built to describe the relation between the PSF size and flight parameters. This method could save the time of estimating the PSF size, speed up the image restoration and improve the quality of restored images. Experimental results show that the proposed algorithm is effective on the aspects of speeding up the restoration and improving the quality of restored images.

关 键 词：湍流退化图像 飞行参数 点扩展函数 图像复原 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]