Robust image steganography against lossy JPEG compression based on embedding domain selection and adaptive error correction

TL;DR

This paper introduces a robust image steganography technique that adaptively selects embedding domains and adjusts error correction to withstand lossy JPEG compression, improving security and robustness.

Contribution

It presents a novel method combining adaptive embedding domain selection and error correction adjustment to enhance robustness against JPEG compression.

Findings

Improved anti-steganalysis performance.

Enhanced robustness to lossy JPEG compression.

Adaptive error correction reduces redundancy.

Abstract

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.