@article{Guthier2013a,
title = "Algorithms for a real-time \{HDR\} video system ",
journal = "Pattern Recognition Letters ",
volume = "34",
number = "1",
pages = "25 - 33",
year = "2013",
note = "Extracting Semantics from Multi-Spectrum Video ",
issn = "0167-8655",
doi = "http://dx.doi.org/10.1016/j.patrec.2012.05.016",
url = "http://www.sciencedirect.com/science/article/pii/S0167865512001845",
author = "Benjamin Guthier and Stephan Kopf and Wolfgang Effelsberg",
keywords = "\{HDR\} video",
keywords = "Multi-spectrum video acquisition",
keywords = "Image registration",
keywords = "Video tone mapping ",
abstract = "When the dynamic range of radiance values in a scene exceeds the capabilities of a camera, a single picture can only capture one brightness range of the scene faithfully at a time. We propose a system for creating high dynamic range (HDR) videos that overcomes this limitation. It acquires a number of images under varying exposure settings from dark to bright, each containing new scene radiance information. The camera motion between the images is compensated and they are fused into a single \{HDR\} frame. For visualization on regular displays, the video frame is tone mapped to the output range of the display. We introduce algorithms for reduced redundancy acquisition, efficient registration and visualization of \{HDR\} video that are fast enough to be used in real-time. "
}