PLEASE SOLVE THANK YOU InstructionsThe edge-detection function (detect Edges ) described in Chapter 7 and shown below returns ablack and white image. Think of a similar way to transform color values so that the new image is stillin its original colors but the outlines within it are merely sharpened.def detectEdges (image, amount):"""Builds and returns a new image in which the edges ofthe argument image are highlighted and the colors arereduced to black and white."""def average (triple):(r, g, b)= triplereturn (r + g + b) // 3blackPixel = (0, 0, 0)whitePixel = (255, 255, 255)new = image.clone()for y in range(image.getHeight() - 1):for x in range(1, image.getWidth()):oldPixel = image.getPixel(x, y)leftPixel = image.getPixel(x - 1, y)bottomPixel = image.getPixel(x, y + 1)oldLum = average (oldPixel)left Lum average (leftPixel)bottomLum= average (bottomPixel)if abs(oldLum - leftLum) › amount or \abs(oldLum - bottomLum) > amount:new.setPixel(x, y, blackPixel)new.setPixel (x, y, whitePixel)else:return newGThen, define a function named sharpen that performs this operation. The function should expectan image and two integers as arguments. One integer should represent the degree to which theimage should be sharpened. The other integer should represent the threshold used to detectedges.images.py|| || ||12 File: sharpen.py3 Project 7.104sharpen.py5 Defines and tests a function to sharpen an image.6 "|||||78 from images import Image910 def sharpen(image, degree, threshold):111213141516 def main():171819202122 if __name__23main()242526smokey.gif"""Builds and returns a sharpened image. Expects an imageand two integers (the degree to which the image should be sharpenedand thethreshold used to detect edges) as arguments. """pass=filename =imagenewimage =newimage.draw()input("Enter the image file name: ")Image (filename)sharpen (image, 20, 15)"__main__":+ InstructionsThe edge-detection function (detect Edges) described in Chapter 7 and shown below returns ablack and white image. Think of a similar way to transform color values so that the new image is stillin its original colors but the outlines within it are merely sharpened.def detectEdges (image, amount):"""Builds and returns a new image in which the edges ofthe argument image are highlighted and the colors arereduced to black and white."""def average (triple):(r, g, b) = triplereturn (r + g + b) // 3blackPixel = (0, 0, 0)whitePixel = (255, 255, 255)new = image.clone()for y in range(image.getHeight() - 1):for x in range(1, image.getWidth()):oldPixel = image.getPixel (x, y)1, y)leftPixel image.getPixel (xbottomPixel = image.getPixel(x, y + 1)oldLum= average (oldPixel)average (leftPixel)left LumbottomLum = average (bottomPixel)if abs(oldLum - left Lum) > amount or \abs(oldLum - bottomLum) > amount:new.setPixel(x, y, blackPixel)new.setPixel(x, y, whitePixel)else:return new==Then, define a function named sharpen that performs this operation. The function should expectan image and two integers as arguments. One integer should represent the degree to which theimage should be sharpened. The other integer should represent the threshold used to detectedges.images.pysharpen.pysmokey.gif+

Answered: PLEASE SOLVE THANK YOU

Engineering

Computer Science

PLEASE SOLVE THANK YOU

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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