Bitmap Movement Detection: HDR for Dynamic Scenes


Autoria(s): Pece, Fabrizio; Kautz, Jan
Data(s)

10/05/2013

31/12/2013

Resumo

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.

Identificador

urn:nbn:de:0009-6-36506

http://www.jvrb.org/past-issues/10.2013/3650

Idioma(s)

eng

Direitos

DPPL

Fonte

JVRB - Journal of Virtual Reality and Broadcasting ; 10(2013) , 2

Palavras-Chave #004 #http://dewey.info/class/004/ #Exposure Fusion #HDR #Motion Correction #Motion Detection #Time Varying Photography #swd: High Dynamic Range #swd: Bildverarbeitung