Distortion: Write code to perform barrel distortion on an image. Starter code available in directory Tranform/ Transform/distortion.py: Edit the function distortion to implement this part. Correction Naive: Write code to perform correction on the input distorted image, by appying the inverse distortion function. Starter code available in directory Tranform/ Transform/distortion.py: Edit the function correction_naive to implement this part. (35 pts.) Correction with interpolation: Write code to perform correction on the input distorted image, and using nearest neighbor and bilinear interpolation. Starter code available in directory Tranform/ Transform/distortion.py: Edit the function correction to implement this part. Transform/interpolation.py: Write code for linear and bilinear interpolation in there respective function definitions, you are welcome to write new functions and call them from these functions The assignment can be run using dip_hw1_rotate.py (there is no need to edit this file) Usage: python dip_hw1_distortion.py -i image-name -k parameter_k -m method image-name: name of the image k: Parameter k (eg. 0.005) method: "nearest_neightbor" or "bilinear" Please make sure your code runs when you run the above command from prompt/Terminal Any output images or files must be saved to "output/" folder One images is provided for testing: kenny.jpg Notes: Files not to be changed: requirements.txt, dip.py, and Jenkinsfile the code has to run using one of the following commands Usage: ./dip_hw1_distortion.py -i image-name -t parameter_k -m methodExample: ./dip_hw1_distortion.py -i kenny.jpg -k 0.0005 -m bilinear Usage: python dip_hw1_distortion.py -i image-name -t parameter_k -m methodExample: python dip_hw1_distortion.py -i kenny.jpg -k 0.0005 -m bilinear Any output file or image should be written to output/ folder The code has to run on jenkins CI/CD Note: We are restricted from importing cv2, numpy, stats and other third party libraries, with the only exception of math, importing math library is allowed (import math). While you can import it for testing purposes, the final submission should not contain the following statements. import cv2 import numpy import numpy as np import stats etc... The essential functions for the assignment are available in dip module one can import using the following statement The following functions are available .

1. Distortion: Write code to perform barrel distortion on an image.
Starter code available in directory Tranform/
Transform/distortion.py: Edit the function distortion to implement this part.
Correction Naive: Write code to perform correction on the input distorted image, by appying the
inverse distortion function.
Starter code available in directory Tranform/
Transform/distortion.py: Edit the function correction_naive to implement this part.
(35 pts.) Correction with interpolation: Write code to perform correction on the input distorted
image, and using nearest neighbor and bilinear interpolation.
Starter code available in directory Tranform/
Transform/distortion.py: Edit the function correction to implement this part.
Transform/interpolation.py: Write code for linear and bilinear interpolation in there respective
function definitions, you are welcome to write new functions and call them from these functions
The assignment can be run using dip_hw1_rotate.py (there is no need to edit this file)
Usage: python dip_hw1_distortion.py -i image-name -k parameter_k -m method
image-name: name of the image
k: Parameter k (eg. 0.005)
method: "nearest_neightbor" or "bilinear"
Please make sure your code runs when you run the above command from prompt/Terminal
Any output images or files must be saved to "output/" folder
One images is provided for testing: kenny.jpg
Notes:
Files not to be changed: requirements.txt, dip.py, and Jenkinsfile
the code has to run using one of the following commands

2. Usage: ./dip_hw1_distortion.py -i image-name -t parameter_k -m methodExample:
./dip_hw1_distortion.py -i kenny.jpg -k 0.0005 -m bilinear
Usage: python dip_hw1_distortion.py -i image-name -t parameter_k -m methodExample: python
dip_hw1_distortion.py -i kenny.jpg -k 0.0005 -m bilinear
Any output file or image should be written to output/ folder
The code has to run on jenkins CI/CD
Note: We are restricted from importing cv2, numpy, stats and other third party libraries, with the
only exception of math, importing math library is allowed (import math).
While you can import it for testing purposes, the final submission should not contain the
following statements.
import cv2
import numpy
import numpy as np
import stats
etc...
The essential functions for the assignment are available in dip module one can import using the
following statement
The following functions are available