摘要
在目标探测过程中,为了消除大气湍流带来的影响,提出了一种基于APEX方法的盲去卷积图像复原算法。该算法是一种非迭代的盲图像复原算法,以湍流退化系统具有G类点扩展函数为假设前提,通过模糊图像的频谱信息直接估计点扩展函数,并采用SECB方法实现目标图像的重建。本文对该算法的原理及其对湍流退化图像复原的可行性进行了深入研究,进行了真实的湍流退化图像的复原实验,其结果表明,该算法能够快速实现对湍流退化图像的重建,并具有一定的稳定性,能满足目标探测过程中的实时性要求。
In order to eliminate the influence of atmospheric turbulence in the course of detecting targets, a blind deconvolution image restoration algorithm based on APEX method was proposed. The algorithm was a kind of non-iterative blind image restoration method based on the assumption that the turbulence-degraded system had class G Point Spread Function （PSF）. PSF was directly estimated by the frequency information of blurred image, and then target image was reconstructed by the means of Slow Evolution of Continuation Boundary （SECB） method. The principle of the algorithm was studied and the feasibility that the algorithm could restore turbulence-degraded image was analyzed in detail. The experiment of restoring real turbulence-degrade images shows the algorithm can realize the reconstruction of degraded image rapidly has definite stability, and can meet the real-time requirements of detecting targets.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2007年第2期88-92,共5页
Opto-Electronic Engineering
基金
国家高技术资助预研项目
