Hue-preserving local contrast enhancement and illumination compensation for outdoor color images

Marco Tektonidis; David Monnin; Frank Christnacher

doi:10.1117/12.2194314

13 October 2015 Hue-preserving local contrast enhancement and illumination compensation for outdoor color images

Marco Tektonidis, David Monnin, Frank Christnacher

Proceedings Volume 9649, Electro-Optical Remote Sensing, Photonic Technologies, and Applications IX; 96490B (2015) https://doi.org/10.1117/12.2194314
Event: SPIE Security + Defence, 2015, Toulouse, France

Abstract

Real-time applications in the field of security and defense use dynamic color camera systems to gain a better understanding of outdoor scenes. To enhance details and improve the visibility in images it is required to per- form local image processing, and to reduce lightness and color inconsistencies between images acquired under different illumination conditions it is required to compensate illumination effects. We introduce an automatic hue-preserving local contrast enhancement and illumination compensation approach for outdoor color images. Our approach is based on a shadow-weighted intensity-based Retinex model which enhances details and compensates the illumination effect on the lightness of an image. The Retinex model exploits information from a shadow detection approach to reduce lightness halo artifacts on shadow boundaries. We employ a hue-preserving color transformation to obtain a color image based on the original color information. To reduce color inconsistencies between images acquired under different illumination conditions we process the saturation using a scaling function. The approach has been successfully applied to static and dynamic color image sequences of outdoor scenes and an experimental comparison with previous Retinex-based approaches has been carried out.

Citation Download Citation

Marco Tektonidis, David Monnin, and Frank Christnacher "Hue-preserving local contrast enhancement and illumination compensation for outdoor color images", Proc. SPIE 9649, Electro-Optical Remote Sensing, Photonic Technologies, and Applications IX, 96490B (13 October 2015); https://doi.org/10.1117/12.2194314

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KEYWORDS

Image processing

RGB color model

Image segmentation

Cameras

Visibility

Image contrast enhancement

Imaging systems

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