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Method for multiframe Wiener restoration of noisy and blurred image sequences

机译:噪声和模糊图像序列的多帧维纳复原方法

摘要

A method for performing multiframe Wiener restoration of noisy and blurred image sequences that provides either a cross-correlated multiframe Wiener restoration or a motion-compensated multiframe Wiener restoration. The cross-correlated multiframe restoration uses interframe correlations explicitly through the estimated cross-power spectra of the frames, and is computationally efficient in its calculation of the Wiener estimate by using either a closed form solution or using a small-size matrix inversion. The motion-compensated multiframe Wiener restoration is used when the interframe motion is a global shift which is either known a priori, or estimated using a motion estimation algorithm. The motion-compensated multiframe Wiener filter has a closed-form solution and does not require any matrix inversion.
机译:一种用于执行嘈杂和模糊图像序列的多帧维纳复原的方法,该方法提供互相关的多帧维纳复原或运动补偿多帧维纳复原。互相关的多帧恢复通过帧的估计互功率谱显式地使用帧间相关,并且通过使用封闭形式的解决方案或使用小尺寸矩阵求逆在维纳估计的计算上具有计算效率。当帧间运动是先验已知或使用运动估计算法进行估计的全局移位时,使用运动补偿的多帧维纳复原。经运动补偿的多帧维纳滤波器具有封闭形式的解决方案,不需要任何矩阵求逆。

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