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20 March 1998 Atmospheric attenuation reduction through multisensor fusion
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lynne L. Grewe and Richard Ree Brooks "Atmospheric attenuation reduction through multisensor fusion", Proc. SPIE 3376, Sensor Fusion: Architectures, Algorithms, and Applications II, (20 March 1998);

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