Aiming at Hidden Markov model’s disadvantages in image denoising,parameter solving method is used. Firstly for the parametric model of ternary group its restrictions are determined, state probability is computed with recursive function,expectation maximization is made by using maximum likelihood estimation. The process includes expectation and maximization. In image denoising,its threshold is set through Kullback-Leibler distance. Finally the parameter solution is given. Simulation results show that the proposed algorithm can keep the useful information of the image,and computation speed is fast.
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李宏升,徐洪章.基于隐式马尔科夫参数模型的图像消噪研究[J].激光与红外,2013,43(10):1184~1187 LI Hong-sheng, XU Hong-zhang. Image’s denoising research based on hidden Markov parameter model[J]. LASER & INFRARED,2013,43(10):1184~1187