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Proceedings Paper

Product-based multiresolution image fusion
Author(s): Trond Ostrem; Samuel Peter Kozaitis
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Paper Abstract

We combined images from different sensors that were enhanced by multiscale products of the wavelet coefficients. Using the wavelet transform, we used a multiresolution analysis to form products of coefficients across scales. Then, a fusion rule was applied to the product images to determine how the original images could be combined. Using this approach, we were able to decrease the sensitivity of the fusion process to noise.

Paper Details

Date Published: 28 March 2005
PDF: 7 pages
Proc. SPIE 5813, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005, (28 March 2005); doi: 10.1117/12.603901
Show Author Affiliations
Trond Ostrem, Florida Institute of Technology (United States)
Samuel Peter Kozaitis, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5813:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005
Belur V. Dasarathy, Editor(s)

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