基于模糊融合技术的图像恢复方法研究

Research on Image Restoration by Fuzzy Fusion

研究了利用模糊融合技术对白高斯噪声图像进行恢复的方法 .分别用均值滤波器和自适应维纳滤波器对噪声图像进行滤波 ,然后用Sobel算子和形态学中的膨胀操作提取滤波图像的边沿 ,把所提边沿部分的均值滤波图像和自适应维纳滤波图像利用模糊融合技术进行融合 ,得到融合图像 .

This paper studies the problem of restoring images degraded with Gaussian white noise by fuzzy fusion technology. First, the noise image is filtered by the mean and the adaptive Wiener filter respectively. Then, Sobel operator and dilation are used to extract the image's edge. After that, the filtered images from the mean and the Wiener filter are fused at the edges by fuzzy fusion technology. Finally the fused image is obtained.Theoretical analysis and simulations have proved that the new algorithm can produce clearer restored images.