PixelPeep

This project compares two images to determine whether they are similar or different using:

• SSIM (Structural Similarity Index) for pixel-level similarity
• ORB (Oriented FAST and Rotated BRIEF) feature matching for structural or keypoint similarity

It is useful for detecting tampering, comparing edited vs original images, or general image matching tasks.

---

Features

• Compares two grayscale images
• Uses SSIM for structural similarity
• Falls back to ORB keypoint matching if SSIM is low or sizes differ
• Prints similarity results based on threshold logic
• Handles errors like missing or unreadable images

---

How It Works

1. Loads two grayscale images using OpenCV
2. Checks if both images are of the same size:
   • If yes: calculates SSIM score
     • If score ≥ 0.5 → images considered similar
     • Else → falls back to ORB comparison
   • If not the same size → directly uses ORB feature matching
3. ORB uses keypoint descriptors and a ratio test to determine similarity

---

Example Output

Image 1 bringed successfully
Image 2 bringed successfully
Images are similar