Abstract: An iterative self-adaptive filtering algorithm based on local extreme value noise detection of impulsive noise reduction in color images is presented.As to the three channels of the color image，an impulse detector is presented to find out all pixels that are considered as noise before filtering separately;if a pixel is considered as noise，it will be replaced by a pixel in the neighborhood which is noise-free during filtering procedure later;otherwise，it is unchanged.As demonstrated by the extensive experimental results，the proposed filtering method compares favorably with conventional techniques in the capabilities of noise attenuation and details preservation，in both quantitative and qualitative measures.

Key words: self-adaptive algorithm, color image processing, impulsive noise, multichannel filters

摘要： 对于被脉冲噪声污染的彩色图像，基于噪声检测，提出了一种迭代自适应滤波算法。对于彩色图像的每个通道，分别运用脉冲噪声检测器，估计出噪声像素点，应用后续迭代自适应滤波算法，只对每个通道中检测出来的噪声像素点进行滤波，而对非噪声像素点保持其值不变。实验结果证明，该滤波算法滤除脉冲噪声的能力优于传统的矢量滤波算法，并且更能有效地保留图像的边缘和细节。

关键词: 自适应算法, 彩色图像处理, 脉冲噪声, 多通道滤波器