A quadratic unsharp masking (QUM) operator is presented, which extracts edge and detail information from an image with equal weights.
提出了一种二次反锐化掩模算子(QUM)，用于从图像中提取等比重的边缘和细节信息。
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。
应用推荐