Optimal Shutter Speed Sequences for Real-Time HDR Video

Guthier, Benjamin ; Kopf, Stephan ; Effelsberg, Wolfgang

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URL: https://ub-madoc.bib.uni-mannheim.de/3202
URN: urn:nbn:de:bsz:180-madoc-32025
Document Type: Report
Year of publication: 2011
The title of a journal, publication series: None
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik IV (Effelsberg -2017)
MADOC publication series: Veröffentlichungen der Fakultät für Mathematik und Informatik > Institut für Informatik > Technical Reports
Subject: 004 Computer science, internet
Subject headings (SWD): Bildverarbeitung , High Dynamic Range , Videobearbeitung , Belichtungsmessung , Histogramm
Keywords (English): HDR video , shutter speed , video surveillance
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.
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