Referenced Items are not available for this document.
A new iterative algorithm to estimate image motion from noisy-blurred image sequences is developed, presented and evaluated. This algorithm seeks the maximum-likelihood estimate of image motion coefficients in an arbitrary transformed domain directly from noisy-blurred data. The range of the convergence parameters which control the speed of convergence is also presented. Simulation experiments demonstrate the validity of the motion estimator. Additional experiments investigate the sensitivity of the algorithm to the extent of blur. We also show the potential application of the estimated motion to image sequence restoration
Published in:
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
(Volume:2
)
Date of Conference: 4-7 Oct 1998
- Page(s):
- 228 - 232 vol.2
- Meeting Date :
- 04 Oct 1998-07 Oct 1998
- Print ISBN:
- 0-8186-8821-1
- INSPEC Accession Number:
- 6201609
- Conference Location :
- Chicago, IL
- Digital Object Identifier :
- 10.1109/ICIP.1998.723353
- Product Type:
- Conference Publications
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