【作者】 赵磊； 梁德群； 谭伟；

【Author】 Zhao Lei Liang Dequn Tan Wei (Institute of Information Engineering, Dalian Maritime University, Dalian 116026)

【机构】 大连海事大学信息工程学院；

【摘要】 对于去除高斯噪声以及高斯和冲激混合噪声,提出一种基于模糊分布的隶属度加权均值滤波器。本算法利用模糊集的概念,有效利用像素间的相关性和像素的位置信息对于均值滤波器的权值加以优化,使其不仅在降低高斯噪声的能力和保护细节方面较传统的均值滤波有所提高,而且对于混合噪声也有很好的抑制能力。更多还原

【Abstract】 In order to remove mixed noise and Gaussian noise of the corrupted images, a weighted average filter based on the fuzzy theory is presented. The algorithm first takes the pixels in the filter window as elements of a fuzzy set, then optimizes the membership of each element of the fuzzy set using the correlation between the pixels and the positional information of the pixels. Finally, the computer simulation experiments show that the presented filter is not only superior to traditional average filter in Gaussian noise suppression and fine details preservation, but also good at the suppression of the mixed noise.更多还原