Image Compositing and Matting-PYTHON-EDITION-

This project performs simple image compositing and artifact-based color correction using opencv and numpy. It uses PNG input images to isolate and blend foreground and background regions, applying alpha matting logic for compositing.

Example Output

foreground

-->

alpha * foreground

-->

background

-->

(1-alpha) * background

-->

(1-alpha) * background + alpha * foreground

Features

• Load images (foreground, background, artifact)
• Apply artifact-based color correction (RGB offset)
• Generate alpha matte from artifact image with user specified tolerance
• Composite foreground over background using the matte
• Save the final blended image

artifact Example (the wall behind the robot)

example map of tolerance = 30, if unspesified tolerance = 0

📦 Dependencies

This project requires the following Python libraries:

1. NumPy – Fundamental package for numerical computing

   • Website: https://numpy.org/
   • Installation:

     pip install numpy

2. OpenCV (cv2) – Computer vision and image processing library

   • Website: https://opencv.org/
   • Installation (prebuilt package):

     pip install opencv-python

How to Use

1. Provide images: artifact, foreground, and background.
2. Run the program — it will generate a result image using the compositing process where you can save the image to enjoy it.

---

Developed by Mohammed Yasser Mohammed call me ;)

email : [email protected]