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dc.contributor.authorOstrem, Trond M.
dc.contributor.authorKozaitis, Samuel P.
dc.contributor.authorLászló, Ildikó
dc.date.accessioned2017-05-22T19:10:40Z
dc.date.available2017-05-22T19:10:40Z
dc.date.issued2005-05-31
dc.identifier.citationOstrem, T., Kozaitis, S. P., & Laszlo, I. (2005). Multilevel fusion using enhanced feature detection. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, 5817 329-335. doi:10.1117/12.603932en_US
dc.identifier.urihttp://hdl.handle.net/11141/1437
dc.description.abstractWe 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.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleMultilevel fusion using enhanced feature detectionen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.603932


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