一步异相关与最相关矢量的彩色图像滤波方法

摘要

针对彩色图像去噪后造成的模糊与细节不清,分析了彩色图像中邻近像素点之间以及各颜色通道之间的相关性,先对彩色图像各层预处理再利用一步异相关法检测,然后对检测出的噪声应用最相关矢量中值予以补值,最终实现彩色图像的滤波处理.实验结果表明,该方法不但能够准确地检测出椒盐噪声,而且能很好地保持和还原彩色图像的边缘细节等原有信息,彩色图像滤波后的精度和峰值信噪比等性能指标有了进一步提高.%Concerning the fuzzy and unclear details after color image demising, the correlation properties of the adjacent pixels as well as the correlation among the color channels were analyzed. First, one-step singular correlation detection algorithm was used to detect the noises of each layer of the pre-treatment color image, and then the most relevant vector median was used to fill value of the noises. Finally, the color image filtering processing was realized. The experimental results show that this method not only accurately detects the salt-pepper noises, but also well restores and protects the original information such as the edge details. The color image filtering accuracy and performance criterion such as Peak-Signal-to Noise Ratio (PSNR) are further improved.