Graph Models in Information Hiding

Hanzhou Wu
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Abstract

Information hiding allows us to hide secret information into digital objects such as images without significantly distorting the objects. The object containing hidden information will be transmitted to a data receiver via a probably insecure channel. To securely transmit the object carrying hidden information, the distortion caused by data embedding should be as low as possible, which is referred to as the rate-distortion optimization problem. Many conventional methods optimize the data embedding procedure by a heuristic fashion, which may be not optimal in terms of the rate-distortion performance. In this chapter, we introduce novel approaches that use graph theory for information hiding. These graph models are general and can be used for improving the rate-distortion performance of information hiding systems. In addition to rate-distortion optimization, recent graph models used for system design of information hiding will be also reviewed. This chapter is intended as a tutorial introducing advanced graph models applied to information hiding.
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信息隐藏中的图模型
信息隐藏允许我们将秘密信息隐藏到数字对象(如图像)中,而不会明显扭曲对象。包含隐藏信息的对象将通过可能不安全的信道传输到数据接收器。为了安全地传输携带隐藏信息的对象,数据嵌入造成的失真应尽可能低,这被称为率失真优化问题。许多传统方法通过启发式方式优化数据嵌入过程,这在率失真性能方面可能不是最优的。在本章中,我们介绍了利用图论进行信息隐藏的新方法。这些图模型具有通用性,可用于提高信息隐藏系统的率失真性能。除了率失真优化之外,还将回顾最近用于信息隐藏系统设计的图形模型。本章旨在作为一个教程,介绍应用于信息隐藏的高级图模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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On Average Distance of Neighborhood Graphs and Its Applications Reconstruction of Graphs Graph Models in Information Hiding
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