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Proceedings Paper

Wiener filter for zoom parameter estimation in three-parameter motion model
Author(s): Pei-Chuan Liu; Wen-Zen Shen; WenThong Chang
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Paper Abstract

From the linearized Taylor series expansion, an iterative, gradient-based method is used to estimate the zoom and pan motion parameters. In order to take into account the high order expansion error, the Wiener filtering techniques are investigated. It is shown that the expansion error can be efficiently removed with the Wiener filter. However, the reliability of the estimated parameters is still highly dependent upon the accuracy of the gradient information of the images.

Paper Details

Date Published: 10 January 1997
PDF: 10 pages
Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); doi: 10.1117/12.263271
Show Author Affiliations
Pei-Chuan Liu, National Chiao Tung Univ. (Taiwan)
Wen-Zen Shen, National Chiao Tung Univ. (Taiwan)
WenThong Chang, National Chiao Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 3024:
Visual Communications and Image Processing '97
Jan Biemond; Edward J. Delp, Editor(s)

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