@INPROCEEDINGS{Guthier_2012b,
author={Guthier, B. and Kopf, S. and Effelsberg, W.},
booktitle={Imaging Systems and Techniques (IST), 2012 IEEE International Conference on},
title={Optimal shutter speed sequences for real-time HDR video},
year={2012},
month={July},
pages={303-308},
abstract={A technique to create High Dynamic Range (HDR) video frames is to capture Low Dynamic Range (LDR) images at varying shutter speeds. They are then merged into a single image covering the entire brightness range of the scene. While shutter speeds are often chosen to vary by a constant factor, we propose an adaptive approach. The scene's histogram together with functions judging the contribution of an LDR exposure to the HDR result are used to compute a sequence of shutter speeds. This sequence allows for the estimation of the scene's radiance map with a high degree of accuracy. We show that, in comparison to the traditional approach, our algorithm achieves a higher quality of the HDR image for the same number of captured LDR exposures. Our algorithm is suited for creating HDR videos of scenes with varying brightness conditions in real-time, which applications like video surveillance benefit from.},
keywords={image sequences;real-time systems;video signal processing;LDR exposure;adaptive approach;constant factor;high dynamic range video frames;low dynamic range images;optimal shutter speed sequences;realtime HDR video;scene histogram;scene radiance map;video surveillance;Brightness;Cameras;Dynamic range;Histograms;Real time systems;Streaming media;Vectors;HDR Video;Real-Time;Shutter Speed},
doi={10.1109/IST.2012.6295505},}