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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.

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qbi-2025-qbi2025-ex3-Quantitative-Big-Imaging-2025-exercise3 created by GitHub Classroom

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