基于直方图分析的LSB隐写无参考检测

Natiq M. Abdali, Z. M. Hussain
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引用次数: 5

摘要

针对分类过程中检测篡改所需要的原始图像数据库难以获取的问题,本文提出了一种在空间域中检测图像篡改的技术,如图像隐写。该系统依赖于推导图像直方图的自相关函数,然后应用带阈值的高通滤波器。这种技术可以在不采用原始图像的情况下确定哪个图像是覆盖图像还是隐写图像。实验结果最终证明了该系统的有效性。虽然本研究的重点是最低有效位(LSB)隐写术,但我们希望它可以扩展到其他类型的图像变细。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reference-free Detection of LSB Steganography Using Histogram Analysis
Due to the difficulty of obtaining a database of original images that are required in the classification process to detect tampering, this paper presents a technique for detecting image tampering such as image steganography in the spatial domain. The system depends on deriving the auto-correlation function of the image histogram, then applying a high-pass filter with a threshold. This technique can be used to decide which image is cover or a stego image, without adopting the original image. The results have eventually revealed the validity of this system. Although this study has focused on least-significant-bit (LSB) steganography, we expect that it could be extended to other types of image tapering.
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