The edge-detection function (detectEdges) described in Chapter 7 and shown below returns a black and white image. Think of a similar way to transform color values so that the new image is still in its original colors but the outlines within it are merely sharpened.  Then, define a function named "sharpen" that performs this operation. The function should expect an image and two integers as arguments. One integer should represent the degree to which the image should be sharpened. The other integer should represent the threshold used to detect edges.

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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The edge-detection function (detectEdges) described in Chapter 7 and shown below returns a black and white image. Think of a similar way to transform color values so that the new image is still in its original colors but the outlines within it are merely sharpened. 

Then, define a function named "sharpen" that performs this operation. The function should expect an image and two integers as arguments. One integer should represent the degree to which the image should be sharpened. The other integer should represent the threshold used to detect edges.

 

Code: 

from images import Image

def sharpen(image, degree, threshold):
"""Builds and returns a sharpened image. Expects an image
and two integers (the degree to which the image should be sharpened and the
threshold used to detect edges) as arguments."""
pass

def main():
filename = input("Enter the image file name: ")
image = Image(filename)
newimage = sharpen(image, 20, 15)
newimage.draw()

if __name__ == "__main__":
main()


Please only edit the "sharpen" function.
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