The reconstruction of images distorted by hypersonic turbulence

C. Katsinis
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Abstract

The author describes a simple image processing technique for reconstruction of target images distorted due to propagation through a turbulent medium. Image processing algorithms based on shifted-average techniques that are used to reconstruct the original image are presented. Once an estimate of the point spread function of the turbulent medium is obtained by observing a target while it is still distant, a relatively small number of images can be used to obtain reconstructed estimates of the approaching target image. Compared to simple averaging, the shifted-average method produces relatively more precise results by using fewer images. The quality of the reconstruction depends on the particular gas combination and on the number of images used by the reconstruction algorithm.<>
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高超声速湍流畸变图像的重建
作者描述了一种简单的图像处理技术,用于重建由于在湍流介质中传播而变形的目标图像。提出了基于移位平均技术的图像处理算法,用于重建原始图像。一旦通过观察距离较远的目标得到了湍流介质的点扩散函数的估计,就可以使用相对较少的图像来获得接近目标图像的重建估计。与简单平均法相比,移位平均法使用较少的图像产生相对更精确的结果。重建的质量取决于特定的气体组合和重建算法使用的图像数量
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