Paper
21 October 2016 Image enhancement and color constancy for a vehicle-mounted change detection system
Marco Tektonidis, David Monnin
Author Affiliations +
Proceedings Volume 9988, Electro-Optical Remote Sensing X; 998808 (2016) https://doi.org/10.1117/12.2240307
Event: SPIE Security + Defence, 2016, Edinburgh, United Kingdom
Abstract
Vehicle-mounted change detection systems allow to improve situational awareness on outdoor itineraries of inter- est. Since the visibility of acquired images is often affected by illumination effects (e.g., shadows) it is important to enhance local contrast. For the analysis and comparison of color images depicting the same scene at different time points it is required to compensate color and lightness inconsistencies caused by the different illumination conditions. We have developed an approach for image enhancement and color constancy based on the center/surround Retinex model and the Gray World hypothesis. The combination of the two methods using a color processing function improves color rendition, compared to both methods. The use of stacked integral images (SII) allows to efficiently perform local image processing. Our combined Retinex/Gray World approach has been successfully applied to image sequences acquired on outdoor itineraries at different time points and a comparison with previous Retinex-based approaches has been carried out.
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Marco Tektonidis and David Monnin "Image enhancement and color constancy for a vehicle-mounted change detection system", Proc. SPIE 9988, Electro-Optical Remote Sensing X, 998808 (21 October 2016); https://doi.org/10.1117/12.2240307
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KEYWORDS
Image processing

Image enhancement

RGB color model

Visibility

Electro optical modeling

Cameras

Convolution

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