DocumentCode :
254589
Title :
Space-Variant Image Deblurring on Smartphones Using Inertial Sensors
Author :
Sindelar, Ondfej ; Scoubek, Filip ; Milanfar, Peyman
Author_Institution :
Inst. of Inf. Theor. & Autom., Prague, Czech Republic
fYear :
2014
fDate :
23-28 June 2014
Firstpage :
191
Lastpage :
192
Abstract :
Low-light hand-held photography requires long exposures and leads to space-variant blur degradation. Removing blur without any information about the camera motion is a computationally demanding and unstable process. In this demo system, we use rotational inertial sensors (gyroscopes) to detect the motion trajectory of the camera during exposure and then use it as a base for removing blur from the acquired photographs. The demo is a close-to-real-time deblurring technology, implemented on an Android smartphone.
Keywords :
gyroscopes; image restoration; mobile computing; smart phones; Android smartphone; camera motion trajectory detection; gyroscopes; rotational inertial sensors; space-variant image deblurring technology; Cameras; Deconvolution; Gyroscopes; Image reconstruction; Image sensors; Sensors; Smart phones; gyroscope; mobile phone; space-variant deconvolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on
Conference_Location :
Columbus, OH
Type :
conf
DOI :
10.1109/CVPRW.2014.34
Filename :
6909979
Link To Document :
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