Issue No. 02 - April-June (2008 vol. 15)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MMUL.2008.32
G.R.K. Sai Subrahmanyam , Indian Institute of Technology Madras
A.N. Rajagopalan , Indian Institute of Technology Madras
Rangarajan Aravind , Indian Institute of Technology Madras
Photographic film contains film-grain noise that translates to multiplicative, non-Gaussian noise in the exposure domain. A method based on the unscented Kalman filter can suppress this noise while simultaneously preserving edge information.
film-grain noise, unscented Kalman filter, Markov random field (MRF), discontinuity adaptive MRFs, importance sampling
G. S. Subrahmanyam, R. Aravind and A. Rajagopalan, "Importance Sampling-Based Unscented Kalman Filter for Film-Grain Noise Removal," in IEEE MultiMedia, vol. 15, no. , pp. 52-63, 2008.