用于图像处理的自适应中值滤波

Adaptive Median Filtering for Image Processing

针对标准中值滤波方法存在的不足 ,提出自适应中值滤波方法 该方法通过噪声检测确定子图像中的脉冲噪声点及噪声干扰大小 ,根据噪声干扰程度选择滤波窗口的尺寸 ,并采用改进的中值滤波方法对检测出的噪声点进行滤波 计算机模拟实验结果表明 :自适应中值滤波能在有效地去除噪声的同时 ,较好地保护图像细节 ,较标准中值滤波具有更优良的滤波性能 。

To overcome the drawbacks of the standard median filter, the adaptive median filter is proposed in this paper. In the algorithm, noise detection is utilized to determine impulse noise and the degree of noise interference in sub-images. Based on the degree of noise interference, window size could be selected, and the noise found in sub-images is removed by means of improved median filter. Results of computer simulation experiments on the adaptive median filter show that the method can suppress noise very effectively while preserving fine details very well and has better filtering performance than the standard median filter. It also shows a great advantage over the standard one in filtering speed.