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Proceedings Paper

Nonuniform image motion estimation in transformed-domain
Author(s): Nader M. Namazi; John I. Lipp
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Paper Abstract

Transformation of the image motion vector to a different domain exhibits impressive properties, such as resistance to noise and reduction in computational time and storage requirements. Using the steepest ascent algorithm in a transformed domain, we develop an iterative technique for frame-to-frame image motion estimation. The estimator seeks for the maximum likelihood (ML) estimate of the transformed-coefficients of the motion field. The scheme is implemented using discrete cosine, discrete sine, slant, Hadamard-Walsh, and Haar transforms. Since the motion field is generally slowly-varying, it is shown that by ignoring the higher number transformed-coefficients, substantial improvement in noise reduction is achieved. Simulation experiments are performed to indicate the validity of the analysis for real images in the presence of noise. Results of the simulations are presented.

Paper Details

Date Published: 1 December 1991
PDF: 11 pages
Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50861
Show Author Affiliations
Nader M. Namazi, Michigan Technological Univ. (United States)
John I. Lipp, Michigan Technological Univ. (United States)


Published in SPIE Proceedings Vol. 1567:
Applications of Digital Image Processing XIV
Andrew G. Tescher, Editor(s)

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