自适应中心加权的改进均值滤波算法

Adaptive center weighted modified trimmed mean filter

为了在滤除退化图像中混合噪声的同时能更好地保护图像的细节，文中提出了基于改进均值滤波（ Ｍ Ｔ Ｍ）结构的新算法，其特点为： １） 用中心加权中值滤波算法替代 Ｍ Ｔ Ｍ 方法中的中值滤波算法以更好地保护细节； ２） 提出了一种直接利用滤波结果来估计混合噪声中高斯噪声方差的方法，估计的结果被用于滤波器系数的调整，使得新算法有很好的鲁棒性。实践证明新方法的处理结果优于传统的 Ｍ Ｔ Ｍ

In order to preserve more details while erasing mixed noise, a new algorithm based on the structure of modified trimmed mean (MTM) filter was proposed. Characters of the new one are: 1) replaces the median filter with center weighted median which shows better performance in preserving details; 2) uses the filtering result to estimate the deviation of Gaussian noise. The estimating result is used to change the filter parameter, so the new algorithm is robust. In real application the new method shows better performance than the MTM filter.