TY - GEN
T1 - Estimating space-variant motion blur without deblurring
AU - Dai, Shengyang
AU - Wu, Ying
PY - 2008
Y1 - 2008
N2 - Identifying space-variant motion blurs is a very challenging task in blind blur identification research. This paper describes a novel method towards blind identification without deblurring. Based on the image gradients in the α-channel component of a blurred color image, an elegant α-motion blur constraint is proposed, which is a linear constraint for local motion blur parameters. It makes possible efficient blind identification of space-variant and even nonlinear motion blurs and the estimation of motion blur fields, without deblurring.
AB - Identifying space-variant motion blurs is a very challenging task in blind blur identification research. This paper describes a novel method towards blind identification without deblurring. Based on the image gradients in the α-channel component of a blurred color image, an elegant α-motion blur constraint is proposed, which is a linear constraint for local motion blur parameters. It makes possible efficient blind identification of space-variant and even nonlinear motion blurs and the estimation of motion blur fields, without deblurring.
KW - Blind identification
KW - Space-variant blur
UR - http://www.scopus.com/inward/record.url?scp=69949119315&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=69949119315&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2008.4711841
DO - 10.1109/ICIP.2008.4711841
M3 - Conference contribution
AN - SCOPUS:69949119315
SN - 1424417643
SN - 9781424417643
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 661
EP - 664
BT - 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
T2 - 2008 IEEE International Conference on Image Processing, ICIP 2008
Y2 - 12 October 2008 through 15 October 2008
ER -