Image Processing Algorithms with MATLAB & Python

A complete collection of academic-level image processing algorithms implemented using MATLAB scripts and Python, with a fully working GUI app for live testing and visualization.

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📂 Project Structure

geometry-operations/        # Mapping & transformations (scaling, rotation)
pixel-operations/           # Brightness, contrast, grayscale, histogram, etc.
neighbor-operations/        # Filters, edge detection, smoothing & sharpening
simple-photoshop/           # Python GUI app with live filter testing
output/                     # Sample outputs (before/after images)
use-case-images/            # Test images to try out the algorithms

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💻 How to Run

🧠 MATLAB Scripts

• Open any .m file inside MATLAB and run directly.

🖼️ Python GUI App

cd simple-photoshop
pip install -r requirements.txt
python GUI.py

No config needed. You can load an image and apply filters directly.

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🔧 Requirements

All required libraries are in requirements.txt:

• opencv-python
• numpy
• pillow
• matplotlib
• scikit-image
• sv-ttk (for a better themed GUI)

Install them using:

pip install -r simple-photoshop/requirements.txt

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📸 Sample Outputs

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🙌 Credits

• Algorithms: Implemented by Ziad Gamal (@ZiadGamalDev)
• GUI App: Built with the help of a teammate (frontend contribution)

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🎓 Academic Context

This was my project for the Image Processing subject in faculty. It’s now public for others to learn, reuse, or get inspired.