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
fDate :
June 28 2009-July 3 2009
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;
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2009.5202550