Nonlinear filtering of statistically connected video sequences based on hidden Markov chains
Е. П. Петров, Elena V. Medvedeva · Journal of Communications Technology and Electronics · 2010
A method for the synthesis of algorithms for nonlinear filtering of statistically connected (correlated) video sequences of digital halftone images distorted by a white Gaussian noise is proposed. The method is based on the use of hidden Markov chains as a mathematical model for video sequences of digital halftone images, which, in limited observation intervals, can be represented by multidimensional Markov chains.