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20 September 2020 Colour fusion of RGB and NIR imagery for surveillance applications
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Abstract
There is a growing interest in the fusion of Visible colour (RGB) and Near Infrared (NIR) imagery in the field of remote sensing. In this paper, RGB and NIR image fusion (RGBN) is considered from a security and surveillance perspective. An RGBN fusion scheme is proposed which successfully uses a Colour Weight Map (CWM) to control colour distortion and enhance the visibility of features of interest within the scene. The RGBN fusion design used is a simple arithmetic solution that can be readily implemented in hardware, and can operate at high camera frame rates. Performance of the processing scheme is evaluated both qualitatively and quantitatively. For the latter, image metrics have been developed for both colour and greyscale evaluation, and the metric set includes a modified version of the Structural Similarity Index Measure (SSIM). Results obtained from visual inspection and metric analysis are reviewed and shown to be well correlated.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Duncan L. Hickman "Colour fusion of RGB and NIR imagery for surveillance applications", Proc. SPIE 11537, Electro-Optical and Infrared Systems: Technology and Applications XVII, 115370H (20 September 2020); https://doi.org/10.1117/12.2570498
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