TY - GEN
T1 - Improved reconstruction of flutter shutter images for motion blur reduction
AU - Sarker, Abeed
AU - Hamey, Leonard G C
N1 - Copyright 2010 IEEE. Reprinted from DICTA 2010 : proceedings : 2010 Digital Image Computing: Techniques and Applications : 1-3 December 2010, Sydney, Australia. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79951648226&partnerID=8YFLogxK
U2 - 10.1109/DICTA.2010.77
DO - 10.1109/DICTA.2010.77
M3 - Conference proceeding contribution
AN - SCOPUS:79951648226
SN - 9780769542713
SP - 417
EP - 422
BT - Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010
A2 - Zhang, Jian
A2 - Shen, Chunhua
A2 - Geers, Glenn
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
T2 - International Conference on Digital Image Computing: Techniques and Applications, DICTA 2010
Y2 - 1 December 2010 through 3 December 2010
ER -