一种用于非高斯加性噪声退化图像的改进的简化卡尔曼滤波

Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics Pub Date : 1989-11-14 DOI:10.1109/ICSMC.1989.71315

Wen-Roii Wu, A. Kundu

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引用次数: 2

摘要

本文研究了用卡尔曼滤波器对非高斯噪声图像进行滤波的问题。具体来说，为了节省计算量，他们使用了简化的更新卡尔曼滤波器(RUKF)。他们修改了原来的RUKF，以适应非高斯噪声，使用他们之前(1989)提出的有效方案。结果表明，修正方法简单，效果令人满意。

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A modified reduced update Kalman filter for images degraded by non-Gaussian additive noise

The authors consider the problem of filtering images corrupted by non-Gaussian noise using the Kalman filter. Specifically, they have used the reduced updated Kalman filter (RUKF) for the sake of computational savings. They modified the original RUKF to accommodate the non-Gaussian noise using an efficient scheme proposed by them previously (1989). It is shown that the modification is simple and the results are satisfactory.<>

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Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics

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