Paper
10 May 2012 Adaptive IR and VIS image fusion
B. Stoklasa, J. Rehacek, Z. Hradil
Author Affiliations +
Abstract
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Stoklasa, J. Rehacek, and 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
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KEYWORDS
Image fusion

Infrared imaging

Video

Neural networks

Signal processing

Evolutionary algorithms

Infrared cameras

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