This project consists of two major parts:
- Steganography
- Steganalysis
In this part I have downloaded matlab codes from Jessica Fridrich website (you can also get the algorithms here).
For embedding process I used these datasets:
with 0.1, 0.2, 0.4 and 0.8 payloads. I use many embedding algorithms like wow, J-Uniward and S-Uniward which you can find their codes here. I put all codes in the graphy folder.
I want to use two main models for steganalysis which are presented in these papers:
- Yenet (with pytorch) The publication can be found here.
- Catalyst Kernels (with Keras and Tensorflow as its backend) The publication can be found here.
I put all codes in the analysis folder.
NOTE: Currently I am developing the second one and I don't make any changes on the first model.