Image Steganography

Abstract

The art of image steganography involves concealing data—text, images, or even videos—within a cover image. The secret information is concealed such that it cannot be seen by human sight. Recently, there has been more focus on deep learning technology, which has proven to be an effective tool in many fields, including image steganography. The primary objective of this study is to investigate and discuss the various deep learning techniques that are used in the field of image steganography. Traditional approaches, Convolutional Neural Network-based methods, and General Adversarial Network-based methods are the three basic categories into which deep learning techniques used for image steganography can be separated. This paper includes a detailed overview of the approach as well as a list of the datasets used, experimental setups taken into account, and regularly employed evaluation criteria.