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Proceedings Paper

Computational vision approach to improve fusion performance
Author(s): Xiaohui Yuan; Zhaoshan Yuan; Bill Buckles
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Paper Abstract

A simulated annealing based coefficient optimization approach to improve the image fusion performance is proposed in this article. This article tries to answer two questions. Firstly, reference images used in most previous literature to measure the performance of fusion process are often real scene image or the equivalence, which hardly exists in practice. To avoid using the nonexistent real scene image, an alternative reference is created through extracting and merging edge features from each input image. Secondly, the performance measurement needs to be involved in optimization process. Our method adopts a simulated annealing procedure to optimize the Wavelet coefficients combination. As the objective function, the cumulative edge distance is minimized by adjusting the magnitude of the wavelet coefficients according to the error matrix, so as to approaching the optimal coefficient combination.

Paper Details

Date Published: 31 July 2002
PDF: 8 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477189
Show Author Affiliations
Xiaohui Yuan, Tulane Univ. (United States)
Zhaoshan Yuan, Hefei Univ. of Technology (China)
Bill Buckles, Tulane Univ. (United States)


Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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