自适应模糊加权均值滤波器

为了在滤除退化图像中高斯和冲激混合噪声的同时更好地保护图像的细节 ,运用模糊数学的思想提出了一种基于模糊隶属度的加权均值滤波器。该算法利用模糊隶属度函数的概念和裁剪均值滤波器的思想 ,对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图像细节方面较传统的均值滤波有所提高 ,而且对于冲激噪声和混合噪声也有很好的抑制能力

Adaptive Fuzzy Weighted Mean Filter

In order to remove mixed Gaussian noise and impulse noise of the corrupted images and maintain the image details simultaneously, this paper presents a new adaptive fuzzy weighted mean filter based on fuzzy theory. The algorithm first takes the pixels in the filter window as elements of a fuzzy set, then optimizes the membership of the fuzzy set with trimmed mean filter. Finally, the computer simulation experiments show that the presented filter is not only superior to traditional mean filter in Gaussian noise suppression and fine details preservation, but also good at the suppression of impulse noise and the mixed noise.