DocumentCode :
2186521
Title :
Bitmap Movement Detection: HDR for Dynamic Scenes
Author :
Pece, Fabrizio ; Kautz, Jan
Author_Institution :
Dept. of Comput. Sci., UCL, London, UK
fYear :
2010
fDate :
17-18 Nov. 2010
Firstpage :
1
Lastpage :
8
Abstract :
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.
Keywords :
image coding; image fusion; image sequences; HDR techniques; bitmap movement detection; bracketed image sequence; exposure image fusion; image quality; Cameras; Clustering algorithms; Dynamic range; Heuristic algorithms; Image generation; Motion detection; Pixel; Exposure Fusion; HDR; Image analysis; Image motion Correction; Image motion Detection; Image motion analysis; Image processing; Image sequence analysis; Time Varying Photography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Media Production (CVMP), 2010 Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-8872-8
Electronic_ISBN :
978-0-7695-4268-3
Type :
conf
DOI :
10.1109/CVMP.2010.8
Filename :
5693088
Link To Document :
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