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On Kalman filter solution of space-time interpolation

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1 Author(s)
Chin, T.R. ; Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA

The approximate Kalman filtering algorithm presented previously (see ibid., vol.3, p.773-88, Nov. 1994) for image sequence processing can introduce unacceptable negative eigenvalues in the information matrix and can have degraded performance in some applications. The improved algorithm presented in this note guarantees a positive definite information matrix, leading to more stable filter performance

Published in:

Image Processing, IEEE Transactions on  (Volume:10 ,  Issue: 4 )

Date of Publication:

Apr 2001

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