
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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In Python
Each image-processing function that modifies its image argument has the same loop pattern for traversing the image. The only thing that varies is the code used to change each pixel within the loop.
The topic of higher-order functions, discussed in chapter 6, suggests a simpler design pattern for such code.
- Design a single function, named transform, which expects an image and a function as arguments.
- When this function is called, it should be passed by another function that expects a tuple of integers and returns a tuple of integers. This is the function that transforms the information for an individual pixel (such as converting it to black and white or gray-scale)
- The transform function contains the loop logic for traversing its image argument.
- In the body of the loop, the transformfunction accesses the pixel at the current position, passes it as an argument to the other function, and resets the pixel in the image to the function’s value.
Write and test a script that defines this function and uses it to perform at least two different types of transformation on an image.
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