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Reconstruction of video images through turbulent atmosphere

机译:通过湍流气氛重建视频图像

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The random noise of turbulent atmosphere cause the serious image quality degradation of video images, the cutoff frequency of result is very low when video images were added to improve the SNR. This phenomenon is very obvious especially in astronomical video imaging. A new point of view speckle image that is neither the maximum value point not the centroid was found. A new image reconstruction method which based on this point was developed. It is a kind of iterative shift-and-add method (ISA). The initial value of this method can be the result of traditional shift-and- add method or the result of speckle interferometry (autocorrelation) and so on. The clean method is used as the deconvolution method of ISA. The diffraction-limited resolution reconstructed results of series video images through turbulent atmosphere show that this method has a high signal-to-noise ratio and wide dynamic range. At last the equipment that we used to detect and save the dim images is introduced and some high resolution results of video images are given.
机译:湍流大气的随机噪声导致视频图像的严重图像质量劣化,当添加视频图像以改善SNR时,结果的截止频率非常低。这种现象非常明显,特别是在天文视频成像中。发现了一个新的观点散斑图像,既不是最大值点不是质心的。开发了一种基于这一点的新图像重建方法。它是一种迭代的移位和添加方法(ISA)。该方法的初始值可以是传统移位和添加方法的结果或散斑干涉测量(自相关)等结果。清洁方法用作ISA的解卷积方法。通过湍流大气层的衍射限制性分辨率重建结果,序列视频图像的重建结果表明该方法具有高信噪比和宽动态范围。最后介绍了我们用于检测和保存昏暗图像的设备,并且给出了一些高分辨率的视频图像结果。

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