To absolve image blur for high speed camera, fixed-point DSP TMS320C6416 and wiener filtering algorithm were adopted.
为解决由于相机高速运动而导致的图像模糊，利用定点DSP芯片TMS320C 6416和维纳滤波算法实现电子稳像。
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。
In order to use the robust feature in low computational resource device, on the basis of two-stage Wiener filtering algorithm in ETSI Standard, we propose a novel approach to improve the efficiency.
为了能够在低运算资源的设备上实现鲁棒性前端，在ETSI标准的核心两级维纳滤波算法的基础上，我们提出了一种新方法以提高算法效率。
From the experimental result, this new algorithm can give better results than classic Wiener filtering with little ringing effect on the image border and little vibration on the edge.
实验结果显示，较之经典的维纳滤波恢复结果，新算法能够更好的消除边界的振铃和图像边缘的振动波纹。
From the experimental result, this new algorithm can give better results than classic Wiener filtering with little ringing effect on the image border and little vibration on the edge.
实验结果显示，较之经典的维纳滤波恢复结果，新算法能够更好的消除边界的振铃和图像边缘的振动波纹。
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