https://github.com/suvasish114/non-adaptive-partial-image-encryption

An image encryption project, proposed by Barrackpore Rastraguru Surendranath College's department of computer science undergraduates under Dr. Sukalyan Som's mentorship on adaptive partial image encryption of grayscale image based on chaos.
https://github.com/suvasish114/non-adaptive-partial-image-encryption

cryptography encription imageencryption imageprocessing opencv python

Last synced: about 2 months ago
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An image encryption project, proposed by Barrackpore Rastraguru Surendranath College's department of computer science undergraduates under Dr. Sukalyan Som's mentorship on adaptive partial image encryption of grayscale image based on chaos.

• Host: GitHub
• URL: https://github.com/suvasish114/non-adaptive-partial-image-encryption
• Owner: suvasish114
• Created: 2022-03-07T15:02:06.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-07-26T14:16:18.000Z (almost 4 years ago)
• Last Synced: 2025-02-05T02:33:55.353Z (over 1 year ago)
• Topics: cryptography, encription, imageencryption, imageprocessing, opencv, python
• Language: Jupyter Notebook
• Homepage:
• Size: 136 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Non Adaptive Partial Image Encryption

A chaos based symmetric key partial image encryption by `BRSNC 2022` undergraduates, under `Dr. Sukalyan Som`'s supervision. An original image is decomposed into 8 binary bitplanes, among which the significant bitplanes are non adaptively determined. The significant bitplanes are then encrypted with the key stream generated by a "pseudo random binary bit generator" (based on crossed coupled chaotic random bit generator) and then combined with the unencrypted ones to form the cipher image. 

Performence on technique is verified by test based on image statistics key sensitive and impermeability of cipher image.

For documemtation details, visit [/report](https://github.com/suvasish114/Non-Adaptive-Partial-Image-Encryption/tree/main/report)