2S2122 Activity 3.2

Instructions

Submission guidelines:

• For every programming exercise, you are to submit your .ipynb file into your respective submission bin.
• To download your .ipynb file, first in your Google Colab page go to File > Download > Download .ipynb file.
• Don't forget to rename your .ipynb file with the following format "class_lastname_firstname_studentnumber.ipynb".

Noisy Images

For this exercise, we will simulate a binary symmetric channel BSC using images. This exercise follows the discussion about Noisy Images in our Wiki page. All you have to do is create a simulator for this. The goal of this exercise is just to give you a feel of how noise affects our data and how can we correlate it with our theory of information.

The objectives are:

• Task 1 - Create a function that extracts the probability of the binary data.
• Task 2 - Adding noise to images.
• Task 3 - Creating functions for information measures.
• Task 4 - Answer the following questions.

You will be provided with images from our Git dump. They're simple binary images anyway. We pre-processed these images already.

You can checkout the exercise in this link.