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Improving the Robustness of Adaptive Steganographic Algorithms Based on Transport Channel Matching

机译:基于传输通道匹配的自适应隐写算法的鲁棒性提高

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摘要

Moving steganography and steganalysis from the laboratory into the real world, the robustness of steganography needs to be further considered. In this paper, we propose a robust steganographic algorithm to resist the JPEG compression of transport channel based on transport channel matching. Transport channel matching can adjust images to meet the requirements of transport channel so that the impact of JPEG compression from the channel can be reduced. To improve the robustness of steganography, the embedded message bits will be encoded by the error correction code. Then, the adaptive steganographic algorithms will be used to embed messages. To enhance the coding rate, the error correction capability t of the error correction code is dynamically adjusted according to the images. Experimental results on the local simulation of JPEG compression and social network site demonstrate that the proposed steganographic algorithm has a good performance with respect to both robustness and security.
机译:将隐写术和隐写分析从实验室转移到现实世界,需要进一步考虑隐写术的鲁棒性。在本文中,我们提出了一种鲁棒的隐写算法,以基于传输通道匹配来抵抗传输通道的JPEG压缩。传输通道匹配可以调整图像以满足传输通道的要求,从而可以减少来自通道的JPEG压缩的影响。为了提高隐写技术的鲁棒性,将使用纠错码对嵌入的消息位进行编码。然后,自适应隐写算法将用于嵌入消息。为了提高编码率,根据图像动态地调整纠错码的纠错能力t。 JPEG压缩和社交网站本地仿真的实验结果表明,所提出的隐写算法在鲁棒性和安全性方面均具有良好的性能。

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