Nonuniform image motion estimation in transformed-domain

Document Type

Conference Proceeding

Publication Date

12-1-1991

Abstract

© 1991 SPIE. All rights reserved. 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 trans formed-domain, we develop an iterative technique for f rame - 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.

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

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