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。
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。
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)。
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。