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New reversible full-embeddable information hiding method for vector quantisation indices based on locally adaptive complete coding list

机译:基于局部自适应完整编码表的矢量量化指标可逆全嵌入信息隐藏方法

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摘要

Steganography based on vector quantisation (VQ)-compressed indices is widely used in information hiding. In this study, the authors propose a new reversible information hiding method for VQ indices using an on-line generated locally adaptive complete coding list. The complete coding list guarantees that all VQ indices can embed one or two secret bits which efficiently increase the embedding capacity. Additionally, they propose a mixed coding method with an index position threshold by exploring the biased-distribution of locally complete coding indices in order to reduce the bit rate. Experimental results demonstrated that the authors proposed method has a better performance in embedding capacity, bit rate and the embedding-efficiency compared with the four information hiding methods.
机译:基于矢量量化(VQ)压缩索引的隐写术广泛用于信息隐藏。在这项研究中,作者提出了一种新的VQ索引可逆信息隐藏方法,该方法使用在线生成的本地自适应完整编码列表。完整的编码列表可确保所有VQ索引都可以嵌入一个或两个秘密比特,从而有效地增加了嵌入容量。另外,他们通过探索局部完整编码索引的偏差分布来提出一种具有索引位置阈值的混合编码方法,以降低比特率。实验结果表明,与四种信息隐藏方法相比,该方法具有更好的嵌入能力,比特率和嵌入效率。

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