中文说明：在本文中，一种基于局部对比度的降噪方法的性能修改功能，是对计算机模拟的和真实的幻象评估图像。第一，局部对比度的计算对每个像素，这取决于它的邻居统计特性。一个最佳的对比度修正功能，会议一些要求确保降噪，然后应用。这个函数是用均方误差为准则的平均求解一个优化问题，找到了。最后，增强像素值用一个反向的局部对比度计算方法。这种方法有两个优点：很容易实现，提供去噪图像的均方误差的优化结果
English Description：
In this paper, the performance of a noise reduction method based on a local contrastmodification function, is evaluated on computer simulated and real phantomimages. First, a local contrast is computed for each pixel, depending on its neighborhoodstatistical properties. An optimal contrast modification function, meetingsome requirements that ensure noise reduction, is then applied. This function isfound by solving an optimization problem using the mean squared error as a criterion.Finally the enhanced pixel value is calculated using an inverse local contrastmethod. This method has two advantages: being very easy to implement and providing