E9-241 Digital Image Processing (IISc)

This repository contains all assignments and project work completed for the E9-241 Digital Image Processing course at the Indian Institute of Science (IISc).
It provides implementations of classical image processing techniques and algorithms, focusing on both theory and hands-on experimentation.

📂 Contents

• Organized by assignment (e.g., Assignment_1, Assignment_2, …)
• Each assignment includes:
  • Python / Jupyter Notebook code (histograms, filtering, thresholding, segmentation, etc.)
  • Input images and generated outputs for visualization and comparison

🎯 Goals & Skills Demonstrated

• Understanding of fundamental image processing operations: filtering, edge detection, binarization, connected-component labeling, and more
• Implementation of adaptive algorithms (e.g., variable-window Otsu binarization)
• Emphasis on both correctness and performance

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