Deep learning semantic image synthesis: a novel method for unlimited capacity, high noise resistance coverless video steganography-Reference-Cited by-同舟云学术

Deep learning semantic image synthesis: a novel method for unlimited capacity, high noise resistance coverless video steganography

Published:2023-07-20 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Jahromi Zeinab Torabi^ORCID,Hasheminejad Seyed Mohammad Hossein,Shojaedini Seyed Vahab

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16278-w.pdf

Reference58 articles.

1. Ahmed, B. T. (2021). A systematic overview of secure image steganography. International Journal of Advances in Applied Sciences (IJAAS) ISSN, 2252(8814), 8814.

2. Al Hussien SS, Mohamed MS, Hafez EH (2021) Coverless image steganography based on optical mark recognition and machine learning. IEEE Access 11(9):16522–16531

3. Alshinina R, Elleithy KM (n.d.) A High Payload Video Steganography algorithm in DWT Domain based on BCH (15, 11)

4. Anggriani K et al (2023) A high-capacity coverless information hiding based on the lowest and highest image fragments. Electronics 12(2):395

5. Barra S, Carta SM, Corriga A, Podda AS, Recupero DR (2020) Deep learning and time series-to-image encoding for financial forecasting. IEEE/CAA J Autom Sin 7(3):683–692

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel Self-sufficient Coverless Video Steganography for Secured Internet of Things (IoT) Communication;2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB);2024-04-19