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Matrix Embedding for Large Payloads

机译:适用于大负载的矩阵嵌入

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摘要

Matrix embedding is a general coding method that can be applied to most steganographic schemes to improve their embedding efficiency—the number of message bits embedded per one embedding change. Because smaller number of embedding changes is less likely to disrupt statistic properties of the cover object, schemes that employ matrix embedding generally have better steganographic security. This gain is more important for long messages than for shorter ones because longer messages are easier to detect. Previously introduced approaches to matrix embedding based on Hamming codes are, however, not efficient for long messages. In this paper, we present novel matrix embedding schemes that are efficient for embedding messages close to the embedding capacity. One is based on a family of codes constructed from simplex codes and the second one on random linear codes of small dimension. The embedding efficiency of the proposed methods is evaluated with respect to theoretically achievable bounds.
机译:矩阵嵌入是一种通用编码方法,可以将其应用于大多数隐写方案,以提高其嵌入效率,即每次嵌入更改所嵌入的消息位数。由于较少数量的嵌入更改不太可能破坏封面对象的统计属性,因此采用矩阵嵌入的方案通常具有较好的隐写安全性。对于长消息而言,此增益比短消息更为重要,因为长消息更易于检测。然而,先前引入的基于汉明码的矩阵嵌入方法对于长消息效率不高。在本文中,我们提出了新颖的矩阵嵌入方案,该方案可有效地嵌入接近嵌入能力的消息。一种基于由单纯形代码构成的代码系列,第二种基于小尺寸的随机线性代码。相对于理论上可达到的范围,评估了所提出方法的嵌入效率。

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