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

Wen-Rong Wu; Amlan Kundu

doi:10.1109/ICSMC.1989.71315

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

Wen-Rong Wu^*, Amlan Kundu

^*此作品的通信作者

電機工程學系

研究成果: Conference article › 同行評審

2 引文斯高帕斯（Scopus）

摘要

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.

原文	English
文章編號	71315
頁（從 - 到）	352-355
頁數	4
期刊	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
卷	1
DOIs	https://doi.org/10.1109/ICSMC.1989.71315
出版狀態	Published - 14 11月 1989
事件	1989 IEEE International Conference on Systems, Man, and Cybernetics. Part 1 (of 3) - Cambridge, MA, USA 持續時間: 14 11月 1989 → 17 11月 1989

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10.1109/ICSMC.1989.71315

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引用此

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abstract = "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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AU - Kundu, Amlan

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N2 - 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.

AB - 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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M3 - Conference article

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JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

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Y2 - 14 November 1989 through 17 November 1989

ER -

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

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