Image Processing Techniques

This repository contains various image processing techniques implemented using Python, including histogram equalization, logarithmic transformations, and image specification methods.

Files Included

• image_specification.py: Applies image specification techniques using two images.
• image_transformation.py: Demonstrates various image transformations.
• image_transformation_with_variants.py: Includes multiple transformation options (linear, logarithmic, exponential).
• image_histogram.py: Analyzes and displays histograms of images.

Features:

• Histogram Equalization: Enhance the contrast of images by redistributing pixel intensity values.
• Logarithmic Transformations: Apply logarithmic scaling to adjust the brightness and contrast of images.
• Image Specification: Utilize a reference image to specify the histogram of another image for better visual results.
• Histogram Analysis: Generate and visualize histograms to understand the distribution of pixel intensities in images.

Getting Started

1. Clone the repository:

   git clone git@github.com:MateusjsSilva/image-processing-techniques.git
   cd image-processing-techniques\src\

2. Create a virtual environment:

   python -m venv venv

3. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS/Linux:

     source venv/bin/activate

4. Install the required Python packages:

   pip install -r requirements.txt

Run the Scripts

1. Execute the desired script using Python:

   python <script-name>.py

Contribution

Feel free to open issues or submit pull requests. All contributions are welcome!

License

This project is licensed under the MIT License - see the LICENSE file for details.