基于证格码和局部复杂度的自适应隐写

Guangjie Liu, Weiwei Liu, Yue-wei Dai, Shiguo Lian
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引用次数: 7

摘要

证格码为自适应隐写提供了一个灵活的框架,但如何构造合适的失真权函数仍然是一个令人困扰的问题。在本文中,我们提出使用基于局部复杂度的指数函数来定义数据嵌入所带来的风险。提出了基于有效载荷自适应嵌入风险码和证格码的隐写算法。最后通过实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Steganography Based on Syndrome-Trellis Codes and Local Complexity
Syndrome-trellis codes provide a flexible framework for adaptive steganography, but how to construct the proper distortion weight function is still a disturbing question. In this paper, we propose to use an exponential function based on the local complexity to define the risk caused by the data embedding. And the steganography based on the payload-adaptive embedding risk and syndrome-trellis codes is presented. Finally, an experiment is performed to verify its validity.
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