This repository contains the code and documentation for my Digital Image Processing class project, focusing on various image processing techniques in AI. The project covers image bits reduction, quantization, filtering, and more.

• Introduction
• Project Structure
• Requirements
• Installation
• Usage

Digital Image Processing is a crucial aspect of computer vision and artificial intelligence. This project explores different image processing techniques, providing code implementations and documentation for better understanding.

The repository is organized as follows:

• Answers/: Answers of the questions.
• Answers/Practical: Answers of the Practical questions.
• Answers/Theorical: Answers of the Theorical questions.

Make sure you have the following dependencies installed:

• Python (>=3.8)
• Pillow
• Jupyter

You can install these dependencies using the following command:

pip install -r requirements.txt

Clone the repository to your local machine:

git clone https://github.com/your-username/digital-image-processing-hw.git
cd digital-image-processing-hw

Navigate to the notebooks/ directory and run the Jupyter Notebooks to explore the implementation of various image processing algorithms.

cd notebooks/
jupyter notebook

This will open a new browser window where you can interact with the notebooks.