DocumentCode
1520994
Title
Natural Matting for Degraded Pictures
Author
Prabhu, S. Madhava ; Rajagopalan, Ambasamudram Narayanan
Author_Institution
Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India
Volume
20
Issue
12
fYear
2011
Firstpage
3647
Lastpage
3653
Abstract
A new approach for image matting is proposed based on the Kalman filter, to extract the matte and original foreground, despite the presence of noise in the observed image. Different filter formulations with a discontinuity-adaptive Markov random field prior are proposed for handling additive white Gaussian noise and film-grain noise.
Keywords
Kalman filters; Markov processes; image processing; Kalman filter; additive white Gaussian noise; degraded pictures; discontinuity-adaptive Markov random field; film-grain noise; filter formulations; image matting; matte extraction; natural matting; original foreground extraction; AWGN; Kalman filters; Markov random fields; Monte Carlo methods; Noise; Robustness; Film-grain noise; Gaussian noise; importance sampling; matting; prior model; unscented Kalman filter;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2011.2156419
Filename
5771113
Link To Document