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Adaptive image fusion system based on neural network principle was realized. It works with digitalized video
sequences of visible and infrared band sensors, and is able to produce the optimal fused image for a wide range
of lighting conditions through an adaptive change of a fusion algorithm. The change is driven by a change in
the measured statistic of the input images. The best algorithm for a particular input is found with the help of
an objective measurement of the fusion process quality.
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B. Stoklasa, J. Rehacek, Z. Hradil, "Adaptive IR and VIS image fusion," Proc. SPIE 8407, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012, 84070Y (10 May 2012); https://doi.org/10.1117/12.918563