A new depth retrieval algorithm based on the model of Gaussian point spread function is proposed, which uses the Gaussian distribution to interpolate the modulation to obtain the accurate depth map.
以高斯模型为基础，根据调制度分布曲线的特征，设计了一种新的高度恢复算法—高斯曲线拟合法。
This paper used Gaussian function as point spread function, applying in inverse filtering algorithm and Wiener filtering algorithm and improving them.
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。
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.
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。
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