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本文主要用最大熵方法对线性退化二值图象的复原进行了研究。利用原始图象的二值特性,提出了二值约束的最大熵复原方法,并对其解的存在性和唯一性进行了论述,对双约束最大熵的求解问题给出了算法;运用最大有界熵概念,提出了二值约束的最大有界熵复原法。文中将上述复原法同维纳滤波法和最大熵法进行了比较,实验结果表明,用二值约束的最大(有界)熵法复原线性退化图象可以提高复原的质量。
In this paper, the maximum entropy method is used to study the restoration of linear degraded binary images. Based on the binary feature of the original image, the maximum entropy restoration method of binary constraint is proposed, and the existence and uniqueness of its solution are discussed. The algorithm for solving the maximum entropy of dual constraints is given. The concept of world entropy, the maximum bounded entropy restoration method of binary constraint is proposed. In this paper, the restoration method is compared with the Wiener filter method and the maximum entropy method. The experimental results show that using the maximum (bounded) entropy method with binary constraints to recover linear degraded images can improve the quality of restoration.