计算机工程2011，Vol.37Issue(10)：198-199,221,3.DOI:10.3969/j.issn.1000-3428.2011.10.068
基于模糊分类的MRF图像恢复方法
MRF Image Restoration Method Based on Fuzzy Classification
摘要
Abstract
The processing of smooth region and edge region is identity using Markov Random Fields(MRF), which leads to a lot of redundancy program and too long operation time. Aiming at this problem, this paper presents MRF image restoration method based on fuzzy classification.Image subblock can be fuzzy classified according to its statistical characteristics obeying different distribution, the image can be restored by MRF.The blurred binary image is restored by this method and the experimental results show that comparing with the MRF method, the method based on fuzzy classification can reduce operation time and improve denoising effect.关键词
马尔科夫随机场/图像恢复/模糊分类/最大后验估计/先验概率Key words
Markov Random Fields(MRF)/ image restoration/ fuzzy classification/ maximum a posteriori estimation/ prior probability分类
信息技术与安全科学引用本文复制引用
耿连英,贺兴时,贺飞跃..基于模糊分类的MRF图像恢复方法[J].计算机工程,2011,37(10):198-199,221,3.基金项目
陕西省教育厅自然科学专项基金资助项目(2010JK563) （2010JK563）
