Article Details

Recent advances for hiding content in image Steganography | Original Article

Amjad Khan*, Ali Akhtar, Zafrul Hasan, Mohammad Serajuddin, in Journal of Advances and Scholarly Researches in Allied Education | Multidisciplinary Academic Research


This paper's primary objective is to investigate and describe the several deep learning approaches currently used for picture steganography. Traditional approaches, The most common deep learning approaches for photo steganography are convolutional neural network (CNN) based methods and generative adversarial network (GAN) based methods. The authors of this work set out to aid their fellow researchers by gathering pertinent data on the most recent developments, difficulties, and potential future directions in this area. The pictures to be concealed are embedded by first transforming the cover image to luminance and chrominance components. An excellent example of the class of permutation-based algorithms that may better survive channel degradations is the chaotic Baker map, which is used to encrypt the secret pictures. In this study, an OFDM system with channel equalization was used for wireless communication.