[Digital Image Processing] - Assignment Submissions

This repository contains my submissions for the assignments in the Digital Image Processing course, taught by Rajiv Soundararajan during the Aug-Dec 2025 semester.

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📚 Table of Contents

Assignment	Description	Link
Assignment 1	Otsu's Binarization, Connected Component Analysis	View Notebook
Assignment 2	Spatial Filtering, Geometric Operation, Interpolation, Image Sharpening	View Notebook
Assignment 3	Directional Filtering, Gaussian Blurring and Inverse Filtering	View Notebook

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🛠️ Setup and Installation

To run these notebooks, you'll need a Python environment with the necessary packages installed.

1. Clone the repository:

   git clone https://github.com/tejashmore25/Image-Processing-Assignment.git
   cd Image-Processing-Assignment

2. Install dependencies: All required packages are listed in the requirements.txt file. You can install them using pip.

   pip install -r requirements.txt

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🚀 How to Run

After installing the dependencies, you can open and run any assignment notebook using Jupyter Lab or VS Code's Jupyter extension.

Navigate into the desired assignment folder and open the .ipynb file. For example:

cd "Assignment 1"/
# Now open the report to see the analysis and ipynb file to see the code