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SSSS

于 2010-01-09 发布 文件大小:616KB
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  通过建立运动模糊数学模型, 进行了消除运动模糊的仿真实验, 维纳滤波恢复运动模糊图像效果较 好。在图像恢复技术中, 点扩展函数( PSF) 是影响图像恢复结果的关键因素, 所以常常利用先验知识和后验判 断方法估计PSF函数来恢复图像。实验表明在实际恢复过程中如果运动模糊图像混入了噪声, 必须考虑到信噪 比、噪声的自相关函数和原始图像的自相关函数对恢复后图像的影响。(Through the establishment of mathematical model of motion blur was conducted simulation experiments to eliminate motion blur, Wiener filter to restore motion-blurred image effect is good. In the image restoration technology, the point spread function (PSF) that affect the results of image restoration a key factor, so often used to determine a priori knowledge and a posteriori estimation PSF function to restore the image. Experimental results show that the actual recovery process if the motion-blurred images mixed with the noise, we must take into account the signal to noise ratio, the noise autocorrelation function and the autocorrelation function of the original image of the restored image effects.)

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