25 May 2005 Multilevel fusion using enhanced feature detection
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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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Trond Ostrem, Trond Ostrem, Samuel Peter Kozaitis, Samuel Peter Kozaitis, Ildiko Laszlo, Ildiko Laszlo, } "Multilevel fusion using enhanced feature detection", Proc. SPIE 5817, Visual Information Processing XIV, (25 May 2005); doi: 10.1117/12.603932; https://doi.org/10.1117/12.603932
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