Multi-Image Steganography Using Deep Neural Networks

TL;DR

This paper introduces a deep neural network approach for multi-image steganography, enabling the encoding and decoding of multiple secret images within a single cover image of the same resolution.

Contribution

It presents a novel neural network-based method for multi-image steganography, advancing beyond traditional LSB techniques.

Findings

Successful encoding and decoding of multiple images

High fidelity of cover images after embedding

Effective concealment of secret images

Abstract

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.