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

Wen-Rong Wu*, Amlan Kundu

*Corresponding author for this work

研究成果: Conference article

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
頁(從 - 到)352-355
頁數4
期刊Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
1
DOIs
出版狀態Published - 1 十二月 1989
事件1989 IEEE International Conference on Systems, Man, and Cybernetics. Part 1 (of 3) - Cambridge, MA, USA
持續時間: 14 十一月 198917 十一月 1989

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