  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.
