计算机科学 ›› 2015, Vol. 42 ›› Issue (1): 303-307.doi: 10.11896/j.issn.1002-137X.2015.01.067
黄燕,雷涛,樊养余,卢西盼
HUANG Yan, LEI Tao, FAN Yang-yu and LU Xi-pan
摘要： 基于决策的非对称裁剪中值滤波方法(MDBUTMF)能有效复原被高密度椒盐噪声污染的彩色图像,然而该方法采用固定大小的滤波窗口并利用均值替代中心像素,因此导致算法鲁棒性较低,对部分图像滤波失效。针对该问题,提出了一种基于自适应窗口的裁剪中值滤波方法,通过增加对单色区域的判断,有效解决了已有算法对单色区域滤波失效的问题,使得新方法具有较高的鲁棒性和实用性；并采用自适应窗口解决了MDBUTMF采用单一3×3窗口易导致滤波效果差的问题。实验数据表明,与经典的多种矢量以及标量的中值滤波方法相比,提出的裁剪中值滤波方法不仅具有较高的PSNR,而且具有较低的MAE和NCD,在抑制椒盐噪声的同时能有效保护图像的色调和细节。
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