图象最大熵复原及其快速算法

Image Maximum-Entropy Restoration and Its Fast Algorithm

图象最大熵复原是一种正性约束条件下的非线性图象复原方法。Ｂｕｒｇ法用于图象最大熵复原，只提出了一维解的结果，而未发表其推导过程。本文采用泛函极值求解方法推导出类似的一维解，并在此基础上提出了具有实用价值的快速算法。

The image maximum-entropy restoration is a positive-constrained nonlinear restoration method.The Burg s method only provides the one-dimensional conclusion, but its derivation is not published.In this paper,the one-dimensional solution is derived by finding the fUnctional extreme, which is similar to the Burg's conclusion.Also,its fast algorithm is researched,which is very usefUl for practical applications.