由数据统计特性检测噪声的中值滤波算法

摘要

为了改善中值滤波的滤波效果,提出了一种基于数据统计特性进行噪声检测的中值滤波算法,采用通过数据的离散程度检测出噪声点,仅仅对噪声点进行中值滤波的方法,对实验激光图像进行处理,计算了各算法处理图像的散斑指数、峰值信噪比和归一化均方误差,比较了它们的散斑抑制能力.结果表明,新方法确实具有滤波优势.%In order to improve the filtering effect of median filtering, a new method was put forward taking the local variation and local median value into account. The corrupted pixels were detected at first based on the discretion of the data and then filtered based on statistic characteristics. After computing the speckle indexes, peak signal-to-noise ratio and normalized mean square error of the processed images, their ability of suppressing speckle noise was compared. The results indicate that the new filtering method does have advantages.