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Ensemble Stego Selection for Enhancing Image Steganography

  • Published:2022 Issue: Volume:29 Page:702-706
  • ISSN:1070-9908
  • Container-title:IEEE Signal Processing Letters
  • language:
  • Short-container-title:IEEE Signal Process. Lett.

Author:

Li FengyongORCID,Zeng YishuORCID,Zhang XinpengORCID,Qin ChuanORCID

Funder

National Natural Science Foundation of China

Research Fund of Guangxi Key Lab of Multi-source Information Mining and Security

Natural Science Foundation of Shanghai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Cited by 10 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. A survey on Deep-Learning-based image steganography;Expert Systems with Applications;2024-11

2. Diverse Batch Steganography Using Model-Based Selection and Double-Layered Payload Assignment;IEEE Transactions on Circuits and Systems for Video Technology;2024-08

3. Stega4NeRF: cover selection steganography for neural radiance fields;Journal of Electronic Imaging;2024-06-17

4. A Novel Residual-Guided Learning Method for Image Steganography;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Adversarial multi-image steganography via texture evaluation and multi-scale image enhancement;Multimedia Tools and Applications;2024-04-10
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