应用多通道脉冲噪声检测的彩色图像自适应中值滤波方法

首先对彩色图像RGB 3个颜色通道的子图像,以串行的方式,确定出各颜色通道的脉冲噪声位置。根据待检测像素点附近4个邻域的灰度均值,自适应调整脉冲噪声判断阈值。由各通道的噪声检测结果经运算得到彩色图像脉冲噪声检测结果。采用改进的自适应矢量中值滤波法,对脉冲噪声有选择地滤除。实验结果表明,该方法结合标量方法进行脉冲噪声检测,矢量方法滤除彩色图像中的脉冲噪声,具有较好的滤波性能指标和视觉效果。

An Approach of Adaptive Median Filtering for Color Image Based on Detection of Impulse Noise for Multiple Color Channels

Based on the RGB color space,a novel approach to remove the impulse noises in an image is proposed.At first,in each color channel of an image,the locations of impulse noises are detected in serial mode.With the judgment threshold adjusted adaptively according to the average value of the four fields surrounding the pixel,the pixels of impulse noise are detected.Furthermore,the detected results of impulse noises of every color channel image are synthesized to the final result of the whole color image.On the basis of the results,an approach of improved median filtering is applied to selectively remove the impulse noises in a color image.Simulation experiments show that the approach,which is integrated by both modes of scalar quantity and vector,can remove the impulse noises of color image effectively and have better performances than the other existing approaches of color image filtering.