\[ \begin{align}\begin{aligned}\newcommand\blank{~\underline{\hspace{1.2cm}}~}\\% Bold symbols (vectors)
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% Mass
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\end{aligned}\end{align} \]
Dec 03, 2024 | 235 words | 2 min read
10. Checkpoint 2
In this module, you will develop functions to compare images at the pixel level to
detect and highlight differences. You will also explore encryption techniques,
implementing the Caesar cipher, XOR cipher, and Vigenère cipher to encrypt plaintext
messages. Finally, you will convert encrypted messages into binary strings and encode
them into images.
Topics Covered
Image processing and pixel-level comparison
Implementing encryption techniques: Caesar cipher, XOR cipher, Vigenère cipher
Converting plaintext message to binary strings
Encoding message within images using Python
Learning Objectives and Course Outcomes
At the end of this module, you will be able to:
Compare two images to identify and highlight pixel-level differences
Implement and apply encryption techniques such as the Caesar cipher, XOR cipher, and
Vigenère cipher using Python
Convert plaintext messages into binary strings for encoding
Encode and decode messages within images using the least significant bit (LSB)
technique
These learning objectives are directly connected to the following Course Outcomes:
- CO 1.1:
Visually represent data and derive meaningful information from
data.
- CO 2.1:
Contribute to team products and discussions.
- CO 3.1:
Communicate engineering concepts, ideas and decisions effectively
and professionally in diverse ways such as written, visual and oral.
- CO 4.1:
Develop code solutions that address engineering questions and
follow professional programming standards.
- CO 4.2:
Understand and implement basic and intermediate programming
structures: sequential structures, selection structures, repetition
structures, and nested structures.
- CO 4.3:
Create adaptable, reusable programming routines.
- CO 4.4:
Apply design ideas to programming solutions.
