这篇文章是关于高斯扩展图像的研究。

This article is to expand on the Gaussian Image study.

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由运动模糊图像复原出原图像关键问题是获取点扩展函数和噪声信息，其中噪声通常假设为高斯白噪声。

The key problem in image restoration is to get the point spread function of motion-blurred images and the knowledge about noise. Gaussian white noise is commonly assumed as the noise.

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对模糊的成像结果进行图像复原，采用高斯函数作为点扩展函数，应用于三维逆滤波和维纳滤波算法中，改进了这两种算法。

This paper used Gaussian function as point spread function, applying in inverse filtering algorithm and Wiener filtering algorithm and improving them.

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