Nonlinear filtering of statistically connected video sequences based on hidden Markov chains

被引：0

作者：

E. P. Petrov

E. V. Medvedeva

机构：

来源：

Journal of Communications Technology and Electronics | 2010年 / 55卷

关键词：

Video Sequence; White Gaussian Noise; Markov Chain Monte Carlo Method; Noise Immunity; Nonlinear Filter;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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.

引用

页码：307 / 315

页数：8

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