Research on the New Image De-Noising Methodology Based on Neural Network and HMM-Hidden Markov Models

摘要

In this paper, we conduct research on the new image de-noising methodology based on the neural network and HMM-hidden Markov models. HMM is a double stochastic process, one of which is a Markov chain, this is basic random process as it describes the state of the shift and another random process description statistics corresponding relations between the state and the observation. We apply the method into the image de-noising application that will enhance the general performance with the better accuracy. In the future, we will integrate the simulation steps to verify the effectiveness.