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基于Markov场的二值图象复原算法

陈嵘1, 刘小军1, 邹某炎1(中国科学院电子学研究所,北京 100080)

摘 要
提出了一种新的二值图象复原算法,算法基于Markov场模型。算法在象素值的更新上采用了寻找极大似然解的方法,同时引入了概率接受机制,通过计算接受函数来判定是否接受新值。算法具有很高的计算效率,在复原中取得了良好的效果。
关键词
Binary Image Restoration Based on MRF

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Abstract
In this paper, a new binary image restoration algorithm is proposed, which is based on Markov Random Fields. This algorithm finds the ML solution in the procedure of pixel value updating. The mechanism of probability receptence is introduced to judge the transition of pixel value by computing the receptence function. Its computation efficiency is very high. Good results are gained in the experiments.
Keywords

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