Noise insensitive image motion estimation using cumulants
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15206149,p. 2721-2724 vol.4
- https://doi.org/10.1109/icassp.1991.150964
Abstract
A class of algorithms is presented that estimate the displacement vector from two successive image frames. The frames are assumed to be corrupted by Gaussian (perhaps correlated) noises of unknown covariance. Viewing image motion estimation as a 2-D time delay estimation problem, the displacement vector of a moving object is estimated by solving linear equations involving third-order auto-cumulants and cross-cumulants. Additionally, a block-matching type algorithm is developed which follows from a cumulant-error optimality criterion. Finally, using a recursive algorithm the displacement vector for each pel is estimated by minimizing a 2-D fourth-order cumulant criterion. Simulation results are presented and discussed.Keywords
This publication has 5 references indexed in Scilit:
- New criteria for blind deconvolution of nonminimum phase systems (channels)IEEE Transactions on Information Theory, 1990
- Nonuniform image motion estimation from noisy dataIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- Time delay estimation in unknown Gaussian spatially correlated noiseIEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
- Displacement Measurement and Its Application in Interframe Image CodingIEEE Transactions on Communications, 1981
- Motion-Compensated Television Coding: Part IBell System Technical Journal, 1979