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Proceedings Paper

Atmospheric attenuation reduction through multisensor fusion
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Paper Abstract

The visualization of a scene of murky atmospheric conditions is improved by fusing multiple images. A key feature of this system is the use of the wavelet domain in the fusion process. Many possible fusion formulas in this domain exist and to find the `best' formula, we formulate an optimization problem. We assume a set of training data consisting of a sequence of images with the presence of atmospheric effects and the corresponding image with no atmospheric effects present (ground truth). Next, we perform a search over the parameter space of our `generic fusion formula' attempting to minimize the error between the original ground truth image and the image created by fusing the noisy data. Using the resulting `best' fusion formula, we have created a system for pixel level fusion. Experimental results are shown and discussed. Possible applications of this system including processing of outdoor security system data, filters for outdoor vehicle image data and use in heads-up displays.

Paper Details

Date Published: 20 March 1998
PDF: 8 pages
Proc. SPIE 3376, Sensor Fusion: Architectures, Algorithms, and Applications II, (20 March 1998); doi: 10.1117/12.303670
Show Author Affiliations
Lynne L. Grewe, California State Univ./Monterey Bay (United States)
Richard Ree Brooks, California State Univ./Monterey Bay (United States)


Published in SPIE Proceedings Vol. 3376:
Sensor Fusion: Architectures, Algorithms, and Applications II
Belur V. Dasarathy, Editor(s)

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