Image gradient sharpening
2016-08-23
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Gradient sharpening and Laplacian sharpening. But due to the sharpening noise is strongly enhanced than the signals, so require sharpening images have a higher signal to noise ratio, otherwise, after sharpening the image signal to noise ratio lower. Neighborhood average or weighted average method can smooth the image, which in turn corresponds to the differential method can sharpen an image. Differential operation is to find the rate of change of the signal, and strengthening the role of high-frequency components, which make the image clarity of outline. Due to the nature of the blurred image is an image caused by averaging integral operator, so in order to keep the image in any direction to stretch and blur the edge of the outline becomes clear that you can inverse the image such as a differential operator, so as to make the image clearer. In image processing, first order differential is realized through the gradient method.
c++
图像处理
梯度
锐化
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