UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Bitmap movement detection: HDR for dynamic scenes

Pece, F; Kautz, J; (2010) Bitmap movement detection: HDR for dynamic scenes. Presented at: UNSPECIFIED.

Full text not available from this repository.


Exposure Fusion and other HDR techniques generate well-exposed images from a bracketed image sequence while reproducing a large dynamic range that far exceeds the dynamic range of a single exposure. Common to all these techniques is the problem that the smallest movements in the captured images generate artefacts (ghosting) that dramatically affect the quality of the final images. This limits the use of HDR and Exposure Fusion techniques because common scenes of interest are usually dynamic. We present a method that adapts Exposure Fusion, as well as standard HDR techniques, to allow for dynamic scene without introducing artefacts. Our method detects clusters of moving pixels within a bracketed exposure sequence with simple binary operations. We show that the proposed technique is able to deal with a large amount of movement in the scene and different movement configurations. The result is a ghost-free and highly detailed exposure fused image at a low computational cost. © 2010 Crown Copyright.

Type: Conference item (UNSPECIFIED)
Title: Bitmap movement detection: HDR for dynamic scenes
ISBN-13: 9780769542683
DOI: 10.1109/CVMP.2010.8
Keywords: Exposure fusion, HDR, Image analysis, Image motion analysis, Image motion correction, Image motion detection, Image processing, Image sequence analysis, Time varying photography
UCL classification: UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/1303158
Downloads since deposit
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item