Transmitting images for communication on social networks has become routine, which is helpful for covert communication. The traditional steganography algorithm is unable to successfully convey secret information since the social network channel will perform lossy operations on images, such as JPEG compression. Previous studies tried to solve this problem by enhancing the robustness or making the cover adapt to the channel processing. In this study, we proposed a robust image steganography method against lossy JPEG compression based on embedding domain selection and adaptive error correction. To improve anti-steganalysis performance, the embedding domain is selected adaptively. To increase robustness and lessen the impact on anti-steganalysis performance, the error correction capacity of the error correction code is adaptively adjusted to eliminate redundancy. The experimental results show that the proposed method achieves better anti-steganalysis and robustness.

翻译：在社交网络上传输图像进行通信已成为常态，这有助于隐蔽通信。由于社交网络信道会对图像进行有损操作（如JPEG压缩），传统隐写算法无法成功传递秘密信息。先前的研究试图通过增强鲁棒性或使载体适应信道处理来解决这一问题。在本研究中，我们提出了一种基于嵌入域选择与自适应纠错的鲁棒图像隐写方法，用于抵抗有损JPEG压缩。为提升反隐写分析性能，嵌入域被自适应选择。为增强鲁棒性并减少对反隐写分析性能的影响，纠错码的纠错能力被自适应调整以消除冗余。实验结果表明，所提方法实现了更优的反隐写分析与鲁棒性。