As discussed, we can first blur an image and then compute the detail image as the difference between the original and the blurred image to implement unsharp masking. The sharpened image can be computed as a linear combination of the original image and the detail image. The following diagram illustrates the concept again:
The following code block shows how the unsharp mask operation can be implemented with the SciPy ndimage module for a gray-scale image (the same can be done with a color image, which is left as an exercise for the reader), using the preceding concept:
def rgb2gray(im):''' the input image is an ...
