Bitmap movement detection: HDR for dynamic scenes.
Presented at: UNSPECIFIED.
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|
|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
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