Exercise for lecture 3 - Image Enhancement

Learning Objectives

• Explore waht filtering does to images
• Filtering and noise
• Filtering performance evaluation

Preparation

• Accept assignment:
• Clone your student repository (git clone)
• Run uv sync and check everything is correct with uv run hello.py
• Start Jupyter

Exercise

1. Evaluate on images the SNR according to different definitions
2. Tune the parameters of different filters in different noise conditions to achieve a target MSE.