Image estimation in film-grain noise
S. Ibrahim Sadhar, Ambasamudram Narayanan Rajagopalan · IEEE Signal Processing Letters · 2005
A method based on the particle filter for recovering images degraded by film-grain noise is proposed. Due to the nonlinear relationship between the silver density and exposure, film-grain noise manifests itself as multiplicative non-Gaussian noise in the exposure domain. Since the posterior density is non-Gaussian, the proposed method works by representing it by a set of samples with associated weights. These samples are propagated in a recursive framework to obtain an optimal estimate of the original image. The effectiveness of the method is demonstrated with examples.