Considering the characteristics of palmprint images a steerable filters based fuzzy unsharp masking algorithm is presented to enhance the contrast of a palmprint image .

根据掌纹图像的特点，提出一种基于方向可调滤波器的模糊 反 锐化 掩 模掌纹 图像增强算法。

The arithmetic adapts the unsharp masking to enhance select frequency response in order to enhance CR image edge details ;

该算法使用 钝化 模糊 影像来增加对选择空间频率的响应，以增强CR 图像的结构边缘和细节。

This method about neural network simulating image unsharp masking process arithmetic can also be used to realize other image process arithmetic .

这种神经网络模拟图像 反 锐化掩模处理算法的方法也可以用于实现其他 图像处理算法。

A medical image enhancement method based on Multi-Scale Noise-Resistance Unsharp Masking ( MSNR-UM ) is proposed in view of the defects of linear Unsharp Masking ( UM ) method for medical image enhancement .

针对线性 反 锐化掩模法对医学 图像增强的不足，提出了一种基于多尺度抗噪反锐化掩模的医学影像增强算法（MSNR-UM）。