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

Wen-Rong Wu*, Amlan Kundu

*Corresponding author for this work

Research output: Contribution to journalConference article

1 Scopus citations

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.

Original languageEnglish
Pages (from-to)352-355
Number of pages4
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume1
DOIs
StatePublished - 1 Dec 1989
Event1989 IEEE International Conference on Systems, Man, and Cybernetics. Part 1 (of 3) - Cambridge, MA, USA
Duration: 14 Nov 198917 Nov 1989

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