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Proceedings Paper

Multilevel fusion using enhanced feature detection
Author(s): Trond Ostrem; Samuel Peter Kozaitis; Ildiko Laszlo
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Paper Abstract

We combined images from different sensors based on the magnitude of multiscale products of the wavelet transform. Using the product of nondownsampled wavelet coefficients across scales, we formed a fusion rule between two images. In this way, the products represented features than were related to contrast. Therefore, using our approach allowed us to enhance the contrast of two images using a pixel-level fusion approach. In experiments, our approach compared favorably to using only a single level, or other methods using subjective tests.

Paper Details

Date Published: 25 May 2005
PDF: 7 pages
Proc. SPIE 5817, Visual Information Processing XIV, (25 May 2005); doi: 10.1117/12.603932
Show Author Affiliations
Trond Ostrem, Florida Institute of Technology (United States)
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
Ildiko Laszlo, Eotvos Lorand Univ. (Hungary)


Published in SPIE Proceedings Vol. 5817:
Visual Information Processing XIV
Zia-ur Rahman; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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