This project uses a semi-blind watermarking approach to prove ownership of the image.

-> The aim of this case study is to demonstrate a digital watermarking scheme using visual cryptography for copyright protection of a digital image.

-> Based on the security property of visual cryptography, the two shares on their own cannot leak any information about the watermark.

-> The experimental results show that even after the image was modified, the invisible watermark was successfully extracted from it.

git clone https://github.com/somya51p/copyright-protection-semi-blind-watermaking.git

cd copyright-protection-semi-blind-watermaking

Setup Virtual Environment and activate it.

For Linux -->

pip install opencv-python

pip install numpy

Then run the code in jupyter notebook.

1. Ownership_Gen.ipynb will generate the Ownership share for our image and watermark.

2. Master_Gen.ipynb will generate all the Master shares for each of the sample stolen and modified images.

3. Watermark_Gen.ipynb will extract watermarks using the Ownership share with each of the master shares.

4. Template_Res.ipynb will give the accuracy of extracted watermark.