Image steganography: A review of the recent advances

N Subramanian, O Elharrouss, S Al-Maadeed… - IEEE …, 2021 - ieeexplore.ieee.org
Image Steganography is the process of hiding information which can be text, image or video
inside a cover image. The secret information is hidden in a way that it not visible to the …

High-fidelity and arbitrary face editing

Y Gao, F Wei, J Bao, S Gu, D Chen… - Proceedings of the …, 2021 - openaccess.thecvf.com
Cycle consistency is widely used for face editing. However, we observe that the generator
tends to find a tricky way to hide information from the original image to satisfy the constraint …

Augmenting colonoscopy using extended and directional cyclegan for lossy image translation

S Mathew, S Nadeem, S Kumari… - Proceedings of the …, 2020 - openaccess.thecvf.com
Colorectal cancer screening modalities, such as optical colonoscopy (OC) and virtual
colonoscopy (VC), are critical for diagnosing and ultimately removing polyps (precursors for …

A survey on Deep-Learning-based image steganography

B Song, P Wei, S Wu, Y Lin, W Zhou - Expert Systems with Applications, 2024 - Elsevier
With the development of Internet and multimedia development, digital image steganography
is becoming more extensive in transmitting data with high capacity and security. Although …

Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN

J Utz, T Weise, M Schlereth, F Wagner… - Proceedings of the …, 2023 - openaccess.thecvf.com
Annotating nuclei in microscopy images for the training of neural networks is a laborious
task that requires expert knowledge and suffers from inter-and intra-rater variability …

[HTML][HTML] HE-CycleGAN: A Symmetric Network Based on High-Frequency Features and Edge Constraints Used to Convert Facial Sketches to Images

B Li, R Du, J Li, Y Tang - Symmetry, 2024 - mdpi.com
The task of converting facial sketch images to facial images aims to generate reasonable
and clear facial images from a given facial sketch image. However, the facial images …

MRNet: Multifaceted Resilient Networks for Medical Image-to-Image Translation

H Lee, Y Jo, I Hong, S Park - arXiv preprint arXiv:2412.03039, 2024 - arxiv.org
We propose a Multifaceted Resilient Network (MRNet), a novel architecture developed for
medical image-to-image translation that outperforms state-of-the-art methods in MRI-to-CT …

Double-Flow-based Steganography without Embedding for Image-to-Image Hiding

B Song, D Wang, T Zhang, R Liu, Y Lin… - arXiv preprint arXiv …, 2023 - arxiv.org
As an emerging concept, steganography without embedding (SWE) hides a secret message
without directly embedding it into a cover. Thus, SWE has the unique advantage of being …

Endoscopic ultrasound image synthesis using a cycle-consistent adversarial network

A Grimwood, J Ramalhinho, ZMC Baum… - … Workshop, ASMUS 2021 …, 2021 - Springer
Endoscopic ultrasound (EUS) is a challenging procedure that requires skill, both in
endoscopy and ultrasound image interpretation. Classification of key anatomical landmarks …

Image steganography using auto encoder-decoder based deep learning method

N Subramanian, O Elharrouss, S Al-Maadeed… - Visions and Concepts …, 2021 - Springer
Image steganography is the process of communicating hidden secret image embedded in a
cover image in plain sight without arousing any suspicions. In the recent times, deep …