Robust steganography is the technology of hiding secret message in cover image so that the message can be recovered after additional image processing across social network. Traditional robust steganography schemes mainly relied on error correction code and embedding domain selection, which could not effectively address the additional errors introduced during JPEG compression. In this paper, we analyze the lossy operations of JPEG compression and present the DCT Residual Modulation (DRM) algorithm to specifically address spatial pixel overflow, which is a predominant factor leading to alterations in quantized DCT coefficients following recompression. To enhance robustness, unit-based shuffling is applied to the encoded message, and the DRM algorithm is employed for processing the cover image and the stego image. To enhance resistance against steganalysis, the embedding domain is shifted to lower-frequency regions and the redundancy of error correction coding is reduced. Experimental results show that the proposed scheme outperforms existing schemes in terms of robustness and maintains a high level of anti-steganalysis capabilities.

中文翻译：

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基于 DCT 残差调制的抗 JPEG 压缩的鲁棒图像隐写术

鲁棒隐写术是一种在封面图像中隐藏秘密消息的技术，以便在社交网络上进行额外的图像处理后可以恢复该消息。传统的鲁棒隐写方案主要依靠纠错码和嵌入域选择，不能有效解决JPEG压缩过程中引入的额外错误。在本文中，我们分析了 JPEG 压缩的有损操作，并提出了 DCT 残差调制 (DRM) 算法来专门解决空间像素溢出问题，空间像素溢出是导致重新压缩后量化 DCT 系数发生变化的主要因素。为了增强鲁棒性，对编码消息应用基于单元的混洗，并采用DRM算法来处理封面图像和隐写图像。为了增强对隐写分析的抵抗力，嵌入域被转移到低频区域，并减少纠错编码的冗余。实验结果表明，该方案在鲁棒性方面优于现有方案，并保持了高水平的抗隐写分析能力。