Digital Image Processing

This repository contains the weekly laboratory work, image processing algorithms, and application results carried out as part of the Digital Image Processing course. Each piece of work covers a wide range of topics, from basic concepts to advanced filtering techniques.

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🧪 Laboratory Studies

Lab 01: Basics & Image Manipulation

The focus is on image reading, channel separation, and basic manipulation techniques.

• Scope: Histogram analysis, brightness/contrast adjustments, and file format conversions.
• [cite_start]Tools: Python, OpenCV, NumPy, Matplotlib. [cite: 8, 17]
• Key Files: lab01.ipynb and processed output images.

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🚀 Getting Started

To run the notebooks and reproduce the results, ensure you have the required libraries installed:

pip install opencv-python numpy matplotlib