Paper
6 October 2017 Evaluation of a HDR image sensor with logarithmic response for mobile video-based applications
Marco Tektonidis, Mateusz Pietrzak, David Monnin
Author Affiliations +
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marco Tektonidis, Mateusz Pietrzak, and David Monnin "Evaluation of a HDR image sensor with logarithmic response for mobile video-based applications", Proc. SPIE 10433, Electro-Optical and Infrared Systems: Technology and Applications XIV, 104331A (6 October 2017); https://doi.org/10.1117/12.2278942
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KEYWORDS
Image sensors

High dynamic range image sensors

High dynamic range imaging

Associative arrays

Data acquisition

Image processing

Image quality

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