TY - GEN
T1 - Bayesian blind deconvolution with general sparse image priors
AU - Babacan, S. Derin
AU - Molina, Rafael
AU - Do, Minh N.
AU - Katsaggelos, Aggelos K.
PY - 2012
Y1 - 2012
N2 - We present a general method for blind image deconvolution using Bayesian inference with super-Gaussian sparse image priors. We consider a large family of priors suitable for modeling natural images, and develop the general procedure for estimating the unknown image and the blur. Our formulation includes a number of existing modeling and inference methods as special cases while providing additional flexibility in image modeling and algorithm design. We also present an analysis of the proposed inference compared to other methods and discuss its advantages. Theoretical and experimental results demonstrate that the proposed formulation is very effective, efficient, and flexible.
AB - We present a general method for blind image deconvolution using Bayesian inference with super-Gaussian sparse image priors. We consider a large family of priors suitable for modeling natural images, and develop the general procedure for estimating the unknown image and the blur. Our formulation includes a number of existing modeling and inference methods as special cases while providing additional flexibility in image modeling and algorithm design. We also present an analysis of the proposed inference compared to other methods and discuss its advantages. Theoretical and experimental results demonstrate that the proposed formulation is very effective, efficient, and flexible.
UR - http://www.scopus.com/inward/record.url?scp=84867870431&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867870431&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-33783-3_25
DO - 10.1007/978-3-642-33783-3_25
M3 - Conference contribution
AN - SCOPUS:84867870431
SN - 9783642337826
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 341
EP - 355
BT - Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings
T2 - 12th European Conference on Computer Vision, ECCV 2012
Y2 - 7 October 2012 through 13 October 2012
ER -