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Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
Published on: March 12, 2019
Simultaneous motion estimation and filtering of image sequences
1U.S. Patent and Trademark Office, Crystal City, VA 22202, USA.
Abstract:
In this paper, we present an algorithm to simultaneously estimate multiple-frame motions and filter image sequences. The relative motion dk(x) between the reference frame s(x) and the kth frame s(x-dk(x)) in the presence of additive white Gaussian noise (AWGN) is estimated using the maximum-likelihood (ML) principle. The reference frame is also filtered in the linear minimum mean square error (LMMSE) sense during the process of motion estimation. Simulation experiments are performed using the affine motion model to illustrate the performance of this method.
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