Paper
5 May 2010 Image enhancement on the INVIS integrated night vision surveillance and observation system
Author Affiliations +
Abstract
We present the design and first field trial results of the INVIS integrated night vision surveillance and observation system, in particular for the image enhancement techniques implemented. The INVIS is an all-day-andnight all-weather navigation and surveillance tool, combining three-band cameras. We present a processing pipeline for this system. The image quality of all individual sensor signals is enhanced through Dynamic Noise Reduction and Dynamic Super Resolution. The quality of the thermal image can be enhanced through Scene-Based Non-Uniformity Correction (SBNUC). The images are fused using natural tone mapping techniques. The contrast in the image can be improved using Local Adaptive Contrast Enhancement, applied before or after the tone mapping. These results show that the image enhancement techniques have an added value for image fusion systems.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Judith Dijk, Klamer Schutte, Alexander Toet, and Maarten Hogervorst "Image enhancement on the INVIS integrated night vision surveillance and observation system", Proc. SPIE 7689, Enhanced and Synthetic Vision 2010, 768909 (5 May 2010); https://doi.org/10.1117/12.850785
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image enhancement

Cameras

Denoising

Image fusion

Near infrared

Visualization

Sensors

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