信息隐藏中的图模型

Hanzhou Wu
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引用次数: 0

摘要

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。
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Graph Models in Information Hiding
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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On Average Distance of Neighborhood Graphs and Its Applications Reconstruction of Graphs Graph Models in Information Hiding
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