DocumentCode :
2988084
Title :
Motion invariance and custom blur from lens motion
Author :
McCloskey, Scott ; Muldoon, Kelly ; Venkatesha, Sharath
Author_Institution :
Honeywell ACS Labs., Golden Valley, MN, USA
fYear :
2011
fDate :
8-10 April 2011
Firstpage :
1
Lastpage :
8
Abstract :
We demonstrate that image stabilizing hardware included in many camera lenses can be used to implement motion invariance and custom blur effects. Motion invariance is intended to capture images where objects within a range of velocities appear defocused with the same point spread function, obviating the need for blur estimation in advance of de-blurring. We show that the necessary parabolic motion can be implemented with stabilizing lens motion, but that the range of velocities to which capture is invariant decreases with increasing exposure time. We also show that, when that range is expanded through increased lens displacement, lens motion becomes less repeatable. In addition to motion invariance, we demonstrate that stabilizing lens motion can be used to design custom defocus kernels for aesthetic purposes, and can replace lens accessories.
Keywords :
image motion analysis; image restoration; optical transfer function; photographic lenses; camera lenses; custom blur effects; image de-blurring; image stabilizing hardware; lens motion stabilization; motion invariance effects; parabolic motion; spread point function; Cameras; Estimation; Hardware; Image segmentation; Lenses; Motion segmentation; Optical sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Photography (ICCP), 2011 IEEE International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-61284-707-8
Type :
conf
DOI :
10.1109/ICCPHOT.2011.5753127
Filename :
5753127
Link To Document :
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