重新研究了一种基于LSB匹配的边缘自适应图像隐写专用检测器

Zhenhao Zhu, Zhang Tao, Baoji Wan
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引用次数: 23

摘要

在分析掩蔽图像和隐写图像的像素值差(PVD)直方图的基础上,提出了一种基于重访最小有效位匹配(EA-LSBMR)的边缘自适应隐写分析方法。EA-LSBMR隐写技术利用封面图像内更锐利的边缘区域首先嵌入秘密信息,从而达到更高的安全性。但也存在不可避免的缺点,即在PVD直方图的某些位置出现异常增高。利用EA-LSBMR隐写术的弱点,设计了一种特殊的隐写方法。大量的实验结果表明,该方法可以有效地挫败EA-LSBMR隐写。
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A special detector for the edge adaptive image steganography based on LSB matching revisited
Based on the analysis of the pixel value difference (PVD) histograms of the cover and stego-images, a special steganalyzer is proposed for the edge adaptive image steganography based on least-significant-bit matching revisited (EA-LSBMR). The EA-LSBMR steganography utilizes the sharper edge regions within the cover images to embed the secret message firstly, which achieves a higher security. However, there exists unavoidable weakness: abnormal increasing at some position of the PVD histogram. The special steganslytic method is designed using the weakness of the EA-LSBMR steganography. Extensive experimental results show that the proposed method can defeat the EA-LSBMR steganography effectively.
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