基于图像熵的各向异性扩散相干斑噪声抑制

本文提出了一种基于图像熵的各向异性扩散滤波方法. 该方法使用图像熵作为边缘检测算子, 避免了由于均值和方差等统计量的估计带来的误差, 提高了边缘检测能力. 试验结果表明该方法能够获得比传统方法更好的相干斑噪声抑制效果.关键词：相干斑抑制各向异性扩散图像熵合成孔径雷达

Speckle reduction by image entropy anisotropic diffusion

Edge detection is the focus and difficult point for speckle reduction anisotropic diffusion. Traditional methods typically rely on the estimation of mean and variance in edge detection. The precision of the estimations influences the accuracy of edge detection. In this paper, we present an anisotropic diffusion filter based on image entropy. This method uses image entropy as an edge detector to eliminate the error due to the estimation of mean and variance, and improves the edge detection capability. The experimental results show that the visual quality and evaluation indexes of the new method outperform those of the traditional methods.
Keywords：speckle reductionanisotropic diffusionimage entropysynthetic aperture radar