Digital image steganography: A literature survey

PC Mandal, I Mukherjee, G Paul, BN Chatterji - Information sciences, 2022 - Elsevier
Steganography is the art of concealing information in a cover media in such a way that the
presence of the information is unknown. Digital image steganography accomplishes the …

Digital image steganography: Survey and analysis of current methods

A Cheddad, J Condell, K Curran, P Mc Kevitt - Signal processing, 2010 - Elsevier
Steganography is the science that involves communicating secret data in an appropriate
multimedia carrier, eg, image, audio, and video files. It comes under the assumption that if …

Large-capacity image steganography based on invertible neural networks

SP Lu, R Wang, T Zhong… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Many attempts have been made to hide information in images, where the main challenge is
how to increase the payload capacity without the container image being detected as …

Stegastamp: Invisible hyperlinks in physical photographs

M Tancik, B Mildenhall, R Ng - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Printed and digitally displayed photos have the ability to hide imperceptible digital data that
can be accessed through internet-connected imaging systems. Another way to think about …

VAE-Stega: linguistic steganography based on variational auto-encoder

ZL Yang, SY Zhang, YT Hu, ZW Hu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In recent years, linguistic steganography based on text auto-generation technology has
been greatly developed, which is considered to be a very promising but also a very …

Universal distortion function for steganography in an arbitrary domain

V Holub, J Fridrich, T Denemark - EURASIP Journal on Information …, 2014 - Springer
Currently, the most successful approach to steganography in empirical objects, such as
digital media, is to embed the payload while minimizing a suitably defined distortion …

Hiding images within images

S Baluja - IEEE transactions on pattern analysis and machine …, 2019 - ieeexplore.ieee.org
We present a system to hide a full color image inside another of the same size with minimal
quality loss to either image. Deep neural networks are simultaneously trained to create the …

Low-complexity features for JPEG steganalysis using undecimated DCT

V Holub, J Fridrich - IEEE Transactions on Information forensics …, 2014 - ieeexplore.ieee.org
This paper introduces a novel feature set for steganalysis of JPEG images. The features are
engineered as first-order statistics of quantized noise residuals obtained from the …

Ensemble classifiers for steganalysis of digital media

J Kodovsky, J Fridrich, V Holub - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Today, the most accurate steganalysis methods for digital media are built as supervised
classifiers on feature vectors extracted from the media. The tool of choice for the machine …

Minimizing additive distortion in steganography using syndrome-trellis codes

T Filler, J Judas, J Fridrich - IEEE Transactions on Information …, 2011 - ieeexplore.ieee.org
This paper proposes a complete practical methodology for minimizing additive distortion in
steganography with general (nonbinary) embedding operation. Let every possible value of …