The edge-detection function described in this chapter 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.

(Hint: A pixel can be darkened by making its RGB values smaller.)

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Transcribed Image Text:

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(filename) if image = newimage = sharpen(image, 20, 15) newimage.draw() name main() "____main___": 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(filename) if image = newimage = sharpen(image, 20, 15) newimage.draw() name main() "____main___":

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