Generative high-capacity image hiding based on residual CNN in wavelet domain

X Zhu, Z Lai, Y Liang, J Xiong, J Wu - Applied Soft Computing, 2022 - Elsevier
Image hiding is the process of hiding a secret image in another meaningful image or other
carriers so that the secret image remains imperceptible and can be recovered securely at …

DUIANet: A double layer U-Net image hiding method based on improved Inception module and attention mechanism

X Duan, G Wu, C Li, Z Li, C Qin - Journal of Visual Communication and …, 2024 - Elsevier
Image hiding is the process of hiding secret image into cover image, and revealing secret
image from steganographic image. However, the quality of generated images and the ability …

A Novel High‐Capacity Information Hiding Scheme Based on Improved U‐Net

L Liu, L Meng, W Zheng, Y Peng… - Security and …, 2022 - Wiley Online Library
With the gradual introduction of deep learning into the field of information hiding, the
capacity of information hiding has been greatly improved. Therefore, a solution with a higher …

Generative feedback residual network for high-capacity image hiding

J Wu, Z Lai, X Zhu - Journal of Modern Optics, 2022 - Taylor & Francis
At present, there is always a potential threat in the process of information transmission. As a
way to protect data security, image hiding has attracted extensive attention. Current image …

High-capacity information hiding based on residual network

X Duan, B Li, Z Xie, D Yue, Y Ma - IETE Technical Review, 2021 - Taylor & Francis
To solve the problem of the low capacity of traditional information hiding and steganography,
the deep neural network is used to construct a hidden network and a decoding network to …

Image hiding using invertible neural network and similarity of bits pairs

P Ping, Q Li, B Guo, F Xu, F Sibanda, Y Mao - Applied Soft Computing, 2024 - Elsevier
The objective of image hiding is to conceal a secret image in a cover image
inconspicuously. The challenges for image hiding focus on the embedding capacity, image …

Hinet: Deep image hiding by invertible network

J Jing, X Deng, M Xu, J Wang… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Image hiding aims to hide a secret image into a cover image in an imperceptible way, and
then recover the secret image perfectly at the receiver end. Capacity, invisibility and security …

[HTML][HTML] Hiding multiple images into a single image via joint compressive autoencoders

X Liu, Z Ma, Z Chen, F Li, M Jiang, G Schaefer… - Pattern Recognition, 2022 - Elsevier
Interest in image hiding has been continually growing. Recently, deep learning-based
image hiding approaches improve the hidden capacity significantly. However, the major …

Coverless real-time image information hiding based on image block matching and dense convolutional network

Y Luo, J Qin, X Xiang, Y Tan, Q Liu, L Xiang - Journal of Real-Time Image …, 2020 - Springer
Abstract Information security has become a key issue of public concern recently. In order to
radically resist the decryption and analysis in the field of image information hiding and …

A fitting model with optimal Multiple Image Hiding effect

L Huo, L Huang, Z Gan, RP Chen - Neurocomputing, 2024 - Elsevier
Image hiding is a field of research that focuses on covert storage and transmission
techniques. It involves embedding a secret image within a container image to create a …