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
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;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2011.2156419
