DocumentCode :
2179324
Title :
Improved Reconstruction of Flutter Shutter Images for Motion Blur Reduction
Author :
Sarker, Abeed ; Hamey, Leonard G C
Author_Institution :
Dept. of Comput., Macquarie Univ., Sydney, NSW, Australia
fYear :
2010
fDate :
1-3 Dec. 2010
Firstpage :
417
Lastpage :
422
Abstract :
Relative motion between a camera and its subject introduces motion blur in captured images. Reconstruction of unblurred images is ill-posed due to the loss of spatial high frequencies. The flutter shutter preserves high frequencies by rapidly opening and closing the shutter during exposure, providing greatly improved reconstruction. We address two open problems in the reconstruction of unblurred images from flutter shutter images. Firstly, we propose a noise reduction technique that reduces reconstruction noise while preserving image detail. Secondly, we propose a semi-automatic technique for estimating the Point Spread Function of the motion blur. Together these techniques provide substantial improvement in reconstruction of flutter shutter images.
Keywords :
estimation theory; image motion analysis; image reconstruction; flutter shutter image reconstruction; motion blur reduction; noise reduction technique; point spread function estimation; Cameras; Estimation; Image edge detection; Image reconstruction; Noise; Noise reduction; Pixel; PSF estimation; coded exposure; motion blur; noise reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing: Techniques and Applications (DICTA), 2010 International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-8816-2
Electronic_ISBN :
978-0-7695-4271-3
Type :
conf
DOI :
10.1109/DICTA.2010.77
Filename :
5692598
Link To Document :
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