Image Steganography with Hamming Code Error Correction

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This course project for Digital Image Processing integrates LSB steganography in images with Hamming Code error correction. I chose this topic because I was fascinated by the video made by 3Blue1Brown explaining Hamming Code, and I have a strong interest in bit operations.

You can learn more about this project by reading the comprehensive project report.

Challenges Encountered

accuracy
  • Hamming Code cannot recover from excessive bit errors caused by significant damage to the image file.
  • I wasn’t familiar with Git at the time, the commit history was unclear.

Successes Achieved

  • Several elegant code snippets were developed, which I’m proud of.
  • The code is fairly Pythonic, many builtin features are utilized.
  • The code is well documented with docstrings.
  • The final report is comprehensive.