Impulse noise models for images
Kh. Manglem Singh, Prabin Kumar Bora · International Conference on Telecommunications · 2005
We propose two impulse noise models in this paper. The first model is Bernoulli-state impulse noise mode for gray-scale images. The state representing occurrence of the impulse noise at any location is modelled by a binary Bernoulli process and impulse noise can take values in the dynamical range of the image according to some underlying distribution in this model. The second impulse noise model is for a generalized three channel multivariate images.