提出了一种新的用于去除灰度、彩色图像椒盐噪声的方法.首先,通过简单而有效的检测识别可能的噪声像素.然后,用其邻近非噪声像素替换识别出的噪声像素.实验结果表明此方法在去除噪声,保护细节方面优于传统的算法和近年来提出的改进算法.
Different from conventional methods,it is proposed a new method for removing salt-and-pepper noise from gray scale and color images. First, simple but effective noise detectors are designed to identify pixels which are likely to be contaminated by noise. Then, if a pixel is detected as a corrupted one according to the detector,its neighboring image-pixel value is used to replaced it. The experimental results demonstrate that the proposed method outperforms other conventional methods and recently proposed methods in reducing noise and retaining details.