Multi-Image Steganography Using Deep Neural Networks
This work addresses the problem of enhancing data hiding capacity for individuals or organizations requiring covert communication, representing an incremental step in steganography.
This paper explores the use of deep neural networks to hide multiple secret images within a single cover image of the same resolution. The method focuses on encoding and decoding these images without specifying concrete performance metrics.
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.