We derive the algorithm and parameters estimate method for the MAP restoration, and propose the image sectioning to speed up the restoration and save memory space.
针对MAP法提出了具体算法和参数估计方法。并提出应用图象分割法来提高计算机复原速度，节省存储空间。
Knowing that detail, we can then speed the sort up by switching to an algorithm optimized for that exact scenario with nothing but a simple reassignment.
了解细节，针对确切的场景，我们可以通过切换算法来加快排序，仅仅只需一次简单的再赋值即可。
The algorithm is initialized by a statistical histogram based on FCM algorithm, which can speed up the convergence of the algorithm.
算法中使用基于统计直方图的快速FCM算法进行初始化，收敛速度大大提高。
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