提出了一种基于直方图信息灰色关联的噪声类型识别方法．该方法首先分析椒盐噪声、高斯噪声和斑点噪声这三种噪声的直方图统计信息，从而直接识别出椒盐噪声．为正确区分高斯噪声和斑点噪声，引入灰色关联分析理论中的灰色关联度，根据两种噪声的直方图曲线特征，形成参考序列和比较序列，利用两类序列间的灰色关联度来完成识别．实验结果显示，对含灰度均匀子图的单一噪声图像，该方法能够准确识别图像中的噪声类型．

An efficient method on noise type recognition is proposed based on gray relational information of histogram, which can distinguish three familiar types of image noise, i.e., salt-and-pepper noise, Gaussian noise and speckle noise. In the method, statistical information of polluted image histogram is analyzed first and salt-and-pepper noise is then distinguished out directly. Gray relational analysis theory is employed to analysis the histogram curve characteristic of Gaussian noise and speckle noise, the two types of noise are recognized according to the different gray relational grades. Experimental results indicate that this method may provide with correct information on noise types when there is a subimage where the gray scales of all pixels are the same or very similar.