DocumentCode :
2516323
Title :
Removing Partial Occlusion from Blurred Thin Occluders
Author :
McCloskey, Scott ; Langer, Michael ; Siddiqi, Kaleem
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
4400
Lastpage :
4403
Abstract :
We present a method to remove partial occlusion that arises from out-of-focus thin foreground occluders such as wires, branches, or a fence. Such partial occlusion causes the irradiance at a pixel to be a weighted sum of the radiances of a blurred foreground occluder and that of the background. The result is that the background component has lower contrast than it would if seen without the occluder. In order to remove the contribution of the foreground in such regions, we characterize the position and size of the occluder in a narrow aperture image. In subsequent images with wider apertures, we use this characterization to remove the contribution of the foreground, thereby restoring contrast in the background. We demonstrate our method on real camera images without assuming that the background is static.
Keywords :
hidden feature removal; image restoration; aperture image; blurred foreground occluder; blurred thin occluder; image restoration; occluder position; occluder size; out-of-focus thin foreground occluder; partial occlusion removal; pixel irradiance; real camera image; Apertures; Cameras; Image restoration; Lenses; Mathematical model; Metals; Pixel; blur; image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.1069
Filename :
5597880
Link To Document :
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