Multi-Image Steganography Using Deep Neural Networks
Multi-Image Steganography ArchitectureAbstract
Steganography is the science of hiding a secret message within an ordinary public message. Over the years, steganography has been used to encode a lower resolution image into a higher resolution image by simple methods like LSB manipulation. We aim to utilize deep neural networks for the encoding and decoding of multiple secret images inside a single cover image of the same resolution.
Type
Publication
arXiv preprint arXiv:2101.00350
Steganography is the science of hiding a secret message within an ordinary public message. We utilize deep neural networks for the encoding and decoding of multiple secret images inside a single cover image of the same resolution.
Key Contributions
- Deep learning-based approach for multi-image steganography
- Encoding and decoding of multiple secret images within a single cover image
- Same resolution preservation for cover and secret images