In the field of image steganography research, more and more attention is paid to the importance of stego image robustness. In order to make steganography accessible from laboratory to practical applications, it becomes critical that the stego images can resist JPEG compression from transmission channel. In this paper, an image steganography algorithm with strong robustness to resist JPEG compression is proposed. First, the robust cover elements are selected using the sign of DCT coefficients which are kept constant before and after JPEG compression. Additionally, a distortion function and a weighted cost adjustment method are designed to assign an appropriate cost to each candidate DCT coefficient. Finally, the message is embedded in the cover image which has minimal embedding distortion by flipping the signs of DCT coefficients, while differential Manchester code is applied to the element positions to obtain the location feature. Compared with the prior art, our algorithm has better undetectability and stronger robustness, and it can resist the attacks from the social network platforms such as Facebook, Twitter, and WeChat.

中文翻译：

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基于差分曼彻斯特码的抗压隐写术

在图像隐写术研究领域中，越来越多地关注隐身图像鲁棒性的重要性。为了使隐写术从实验室到实际应用都可以使用，隐秘图像可以抵抗来自传输通道的JPEG压缩就变得至关重要。提出了一种具有较强鲁棒性的图像隐写算法，可以抵抗JPEG压缩。首先，使用DCT系数的符号选择健壮的封面元素，该系数在JPEG压缩之前和之后保持恒定。另外，失真函数和加权成本调整方法被设计为向每个候选DCT系数分配适当的成本。最后，通过翻转DCT系数的符号，将消息嵌入到封面图像中，该图像具有最小的嵌入失真，而将差分曼彻斯特代码应用于元素位置以获得位置特征。与现有技术相比，我们的算法具有更好的不可检测性和更强的鲁棒性，并且可以抵抗来自Facebook，Twitter和微信等社交网络平台的攻击。