基于非线性反锐化掩模的成像测井图像增强

Borehole Image Enhancement Based on the Nonlinear Unsharp Masking

提出了一种基于非线性反锐化掩模成像测井图像增强算法,根据人眼视觉特性,将成像测井图像划分为低、中、高3种细节区域,并对3种区域做不同程度的反锐化掩模增强。与线性反锐化掩模图像增强方法相比,非线性反锐化掩模图像增强方法既抑制了噪声,又达到了很好的增强效果。

An enhancement algorithm based on the nonlinear unsharp masking for borehole image was presented in this paper.According to the human visual properties,the borehole image was divided into three different contrast areas: low,middle and high,and the sharpening depth varied automatically in different contrast areas of images.Compared with that of the linear unsharp masking,experimental results by the nonlinear unsharp masking show enhancement and noise suppressing are improved.