DocumentCode :
2930942
Title :
Histogram based ghost removal in high dynamic range images
Author :
Min, Tae-Hong ; Park, Rae-Hong ; Chang, SoonKeun
Author_Institution :
Dept. of Electron. Eng., Sogang Univ., Seoul, South Korea
fYear :
2009
fDate :
June 28 2009-July 3 2009
Firstpage :
530
Lastpage :
533
Abstract :
Multiple images with different exposures are used to produce a high dynamic range image (HDRI). When a user captures an image sequence, the ghost effect caused by moving objects and background change appears in an HDRI. This paper proposes a histogram based ghost removal method, in which object motion and background change between two exposures are detected using multi-level threshoding of the intensity histogram. The detected object motion is used to determine weighting factors in construction of the radiance map. Experiments with several sets of test images with different exposures show that the proposed method gives a better performance than existing methods in terms of visual results and computation time.
Keywords :
image motion analysis; image sequences; object detection; high dynamic range images; histogram based ghost removal; histogram intensity; image sequence; multilevel threshoding; multiple images; object motion detection; radiance map; weighting factor; Cameras; Displays; Dynamic range; Entropy; Histograms; Image sequences; Layout; Lighting; Motion detection; Object detection; Ghost removal; High dynamic range image; Motion detection; Radiance map;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
ISSN :
1945-7871
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2009.5202550
Filename :
5202550
Link To Document :
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