This repository contains Python code implementing two popular dithering algorithms, Floyd-Steinberg and Atkinson, using the Numba library for performance optimization. These algorithms are commonly used for reducing the color palette of images while preserving visual quality.

Dithering Algorithms

1. Floyd-Steinberg Dithering

• Developed by Robert W. Floyd and Louis Steinberg in 1976.
• Distributes quantization errors to neighboring pixels in a specific pattern.
• Produces sharp images with noticeable noise.

2. Atkinson Dithering

• Developed by Bill Atkinson in 1982.
• Similar to Floyd-Steinberg but distributes errors differently.
• Produces smoother images with less visible noise.

Dependencies

• Python 3.x
• NumPy
• Numba
• PIL (Python Imaging Library)

Usage

1. Ensure you have Python installed on your system.
2. Install the required dependencies using pip:

pip install numpy numba pillow

3. Clone this repository to your local machine.
4. Place the image file (e.g., test.JPG) you want to process in the same directory as the Python script.
5. Run the script dithering.py:

python dithering.py

6. The processed images (floyd_steinberg.jpg and atkinson.jpg) will be saved in the same directory as the input image.

Customization

• You can adjust parameters or experiment with different images to observe varying results.
• Feel free to modify the code to suit your specific requirements or integrate it into your projects.

License

This project is licensed under the MIT License.