Restore Damaged Photos Using OpenCV in Python | Image Inpainting Project
🎨 Image Restoration using OpenCV Inpainting (Python Project)
In this video, we restore a damaged photograph using OpenCV’s Inpainting algorithm in Python. This technique reconstructs missing or damaged parts of an image by intelligently using information from surrounding pixels a powerful concept in computer vision and image processing.
You’ll see the complete step-by-step pipeline: detecting damaged areas, creating a mask, and restoring the image to make it look natural again.
🧠 What You’ll Learn
✅ How image inpainting works
✅ Converting image to grayscale for damage detection
✅ Binary thresholding to identify damaged regions
✅ Mask refinement using dilation
✅ Restoring the image with cv2.inpaint() (TELEA method)
✅ Visualizing each stage of processing
⚙️ Technologies Used
Python • OpenCV • NumPy • Matplotlib
📂 GitHub Code
🔗 https://github.com/NitinCVOrbit/Resto...
Perfect for learners in Computer Vision, Image Processing, and AI projects.
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