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Proceedings Paper

Evaluation of a HDR image sensor with logarithmic response for mobile video-based applications
Author(s): Marco Tektonidis; Mateusz Pietrzak; David Monnin
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Paper Abstract

The performance of mobile video-based applications using conventional LDR (Low Dynamic Range) image sensors highly depends on the illumination conditions. As an alternative, HDR (High Dynamic Range) image sensors with logarithmic response are capable to acquire illumination-invariant HDR images in a single shot. We have implemented a complete image processing framework for a HDR sensor, including preprocessing methods (nonuniformity correction (NUC), cross-talk correction (CTC), and demosaicing) as well as tone mapping (TM). We have evaluated the HDR sensor for video-based applications w.r.t. the display of images and w.r.t. image analysis techniques. Regarding the display we have investigated the image intensity statistics over time, and regarding image analysis we assessed the number of feature correspondences between consecutive frames of temporal image sequences. For the evaluation we used HDR image data recorded from a vehicle on outdoor or combined outdoor/indoor itineraries, and we performed a comparison with corresponding conventional LDR image data.

Paper Details

Date Published:
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Proc. SPIE 10433, Electro-Optical and Infrared Systems: Technology and Applications XIV, ; doi: 10.1117/12.2278942
Show Author Affiliations
Marco Tektonidis, Institut Franco-Allemand de Recherches de Saint-Louis (France)
Mateusz Pietrzak, Institut Franco-Allemand de Recherches de Saint-Louis (France)
David Monnin, Institut Franco-Allemand de Recherches de Saint-Louis (France)


Published in SPIE Proceedings Vol. 10433:
Electro-Optical and Infrared Systems: Technology and Applications XIV
David A. Huckridge; Reinhard Ebert; Helge Bürsing, Editor(s)

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