Nonuniform image motion estimation in transformed-domain

Nader M. Namazi; John I. Lipp

doi:10.1117/12.50861

1 December 1991 Nonuniform image motion estimation in transformed-domain

Nader M. Namazi, John I. Lipp

Proceedings Volume 1567, Applications of Digital Image Processing XIV; (1991) https://doi.org/10.1117/12.50861
Event: San Diego, '91, 1991, San Diego, CA, United States

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.

Citation Download Citation

Nader M. Namazi and John I. Lipp "Nonuniform image motion estimation in transformed-domain", Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); https://doi.org/10.1117/12.50861

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