基于改进正则算子的气动模糊图像复原研究*

针对气动光学效应所产生的红外图像模糊和偏移问题,首先对电弧风洞得到的吹风红外实验图片，计算其中的像偏移,得出像偏移主要是在迎风方向这一结论。 通过将气动光学效应传递函数应用于吹风前图像，并将得到的图像与实验实测的模糊图像对比，验证了理论点扩散函数的正确性。最后，提出了一种改进的气动光学图像复原方法。该方法采取基于演化算法，将理论计算的点扩散函数作为基本正则算子参与演化，从而得到最佳正则算子和最佳图像复原参数。实验结果证明了该复原算法的有效性。

Research on restoration of aero-optic distorted infrared images based on improved regular operator

Aero-optic effects cause blurring, vibration, deformation and spatial shifting of the objects in the image obtained by the infrared sensor. The contributions of this paper were in the following three aspects. First, calculated spatial shifting of the objects from the experimental images and obtained the maximum offset angle, which showed that the shifting was in the same direction of the wind. Second, validated correctness of the theoretical point spectrum function (PSF) derived in the former research to represent the aero-optic effects. Furthermore, applied the PSF to the original image, and compared the restored image with the blurred image acquired in the experiment. Finally, developed an improved algorithm for restoration of the infrared image distorted by the aero-optic effects. Specifically, employed evolutionary programming (EP) to solve this adaptive regularization problem by taking the PSF as a basic regularization operator, and by constructing an optimization model which minimized the mean squares residue of the regularized solution, from which determined the regularization parameters. Experiments demonstrate the feasibility of the proposed method.