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Issue No.02 - April-June (2008 vol.15)
pp: 52-63
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.R.K. Sai Subrahmanyam, A.N. Rajagopalan, Rangarajan Aravind, "Importance Sampling-Based Unscented Kalman Filter for Film-Grain Noise Removal", IEEE MultiMedia, vol.15, no. 2, pp. 52-63, April-June 2008, doi:10.1109/MMUL.2008.32
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