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Proceedings Paper

Wavelet-based fusion approach using unique reconstruction approach
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Paper Abstract

We used measures based on entropy to evaluate a method designed to fuse imagery from different sensor types. The method uses different forward transforms of input images and a common transform to reconstruct the final result. We attempted to examine the link between the error in a reconstructed result and its associated entropy.

Paper Details

Date Published: 9 April 2007
PDF: 7 pages
Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 65760G (9 April 2007); doi: 10.1117/12.718652
Show Author Affiliations
M. Ouendeno, Florida Institute of Technology (United States)
S. P. Kozaitis, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6576:
Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V
Harold H. Szu; Jack Agee, Editor(s)

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