气动光学效应红外序列退化图像优化复原算法

Optimized restoration algorithm of infrared sequence degraded images with aero-optical effects

从时间序列退化图像中依次连续取两帧图像来估计湍流瞬态点扩展函数,将约束优化原理应用在气动光学效应退化图像的复原过程中。针对气动光学效应湍流点扩展函数复杂多峰、随机多变等特性,在点扩展函数的估计过程中,采用保凸峰等优化策略,将点扩展函数离散值的计算转化为基于松弛迭代的最优化估计,通过极小化准则函数估计点扩展函数值,进而恢复退化图像。实验结果表明,本文方法复原效果好,速度较快。

An optimized method is proposed to estimate the turbulent point spread functions （PSF） by using two consecutive short-exposure images in a sequence of turbulence-degraded images, in which the principle of constraint optimization has been applied in the process of restoration. The scheme of preserving peaks of the PSF has been adopted in the estimation of the PSF values, which is in agreement with the property of turbulent PSFs being stochastic changeable with some complex peaks. The problem of calculating the PSFs＇values has been boiled down to optimization estimation based on relax iterations. The discrete values of the PSFs can be estimated by minimizing the critical function, consequently the object image can be obtained. The restoration experiments show that the proposed algorithm is efficient with good restoration effect and fast speed.