USE PYTHON THANK YOU InstructionsTo enlarge an image, one must fill in new rows andcolumns with color information based on the colors ofneighboring positions in the original image.• Develop and test a function named enlarge .• This function should expect an image and an integerfactor as arguments.The nction should build and return a new imagethat represents the expansion of the original image bythe factor.Hint: Copy each row of pixels in the original image to oneor more rows in the new imageTo copy a row, use two index variables, one that starts onthe left of the row and one that starts on the right. Thesetwo indexes converge to the middle. This will allow you tocopy each pixel to one or more positions of a row in thenew image.)An example of the program is shown below:OriginalEnlargedenlarge.py1 """2 File: enlarge.py3 Project 7.1145 Defines and tests a function to enlarge an image.6 "|||||78 from images import Image910 def enlarge (image, factor):11images.py12131415 def main():161718192021 if __name__22 main()232425U"""Builds and returns a copy of the image which is largerby the factor."""passfilename =imagenewimagenewimage.draw()=smokey.gifinput("Enter the image file name: ")Image(filename)enlarge (image, 2)="__main__":+

Answered: USE PYTHON THANK YOU

Engineering

Computer Science

USE PYTHON 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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Question

USE PYTHON THANK YOU

Instructions
To enlarge an image, one must fill in new rows and
columns with color information based on the colors of
neighboring positions in the original image.
• Develop and test a function named enlarge .
• This function should expect an image and an integer
factor as arguments.
The nction should build and return a new image
that represents the expansion of the original image by
the factor.
Hint: Copy each row of pixels in the original image to one
or more rows in the new image
To copy a row, use two index variables, one that starts on
the left of the row and one that starts on the right. These
two indexes converge to the middle. This will allow you to
copy each pixel to one or more positions of a row in the
new image.)
An example of the program is shown below:
Original
Enlarged
enlarge.py
1 """
2 File: enlarge.py
3 Project 7.11
4
5 Defines and tests a function to enlarge an image.
6 "|||||
7
8 from images import Image
9
10 def enlarge (image, factor):
11
images.py
12
13
14
15 def main():
16
17
18
19
20
21 if __name__
22 main()
23
24
25
U
"""Builds and returns a copy of the image which is larger
by the factor."""
pass
filename =
image
newimage
newimage.draw()
=
smokey.gif
input("Enter the image file name: ")
Image(filename)
enlarge (image, 2)
=
"__main__":
+

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