An End-to-End Video Steganography Network Based on a Coding Unit Mask
Steganography hides secret messages inside the covers while ensuring imperceptibility. Different from traditional steganography, deep learning-based steganography has an adaptable and generalized framework without needing expertise regarding the embedding process. However, most steganography algorit...
Main Authors: | Huanhuan Chai, Zhaohong Li, Fan Li, Zhenzhen Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/7/1142 |
Similar Items
-
An End-to-End Robust Video Steganography Model Based on a Multi-Scale Neural Network
by: Shutong Xu, et al.
Published: (2022-12-01) -
Adversarial Learning for Invertible Steganography
by: Ching-Chun Chang
Published: (2020-01-01) -
BASN—Learning Steganography with a Binary Attention Mechanism
by: Pin Wu, et al.
Published: (2020-02-01) -
IDGAN: Information-Driven Generative Adversarial Network of Coverless Image Steganography
by: Chunying Zhang, et al.
Published: (2023-06-01) -
Generative Steganography by Sampling
by: Zhuo Zhang, et al.
Published: (2019-01-01)