1 November 1990 Use of the generalized maximum-likelihood algorithm for estimation of Markovian-modeled image motion
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Abstract
A new iterative technique for frame-to-frame image motion estimation is introduced and impleniented. The algorithm presented in this paper is based on the maximum likelihood criterion and is referred to as the GML algorithm. This scheme requires the covariance function matrix of the motion a priori. For this reason a possible motion model will be introduced and implemented. Simulation experiments are presented which investigate the performance of the algorithm in conjunction with real and synthetic images. Key Words : Motion Compensation Maximum Likelihood Covariance Function Markovian Field.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nader M. Namazi, David W. Foxall, "Use of the generalized maximum-likelihood algorithm for estimation of Markovian-modeled image motion", Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23534; https://doi.org/10.1117/12.23534
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KEYWORDS
Motion estimation

Motion models

Digital image processing

Computer simulations

Convolution

Error analysis

Image analysis

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