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A Feature-based Fragile Watermarking for Tamper Detection using Voronoi Diagram Decomposition

机译:基于特征的脆弱水印,用于使用voronoi图分解的篡改检测

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In this paper, we have proposed a novel feature-based fragile watermarking scheme for image authentication. The proposed technique extracts Feature Points (FP) by performing the Harris corner detector and used them as germs to decomposes the host image in segments using Voronoi Diagram (VD). The authentication of each segment is guaranteed by using the Cyclic Redundancy Check code (CRC). Then, the CRC encoding procedure is applied to each segment to generate the watermark. Voronoi decomposition is employed because it has a good retrieval performance compared to similar geometrical decomposition algorithms. The security aspect of our proposed method is achieved by using the public key crypto-system RSA (Rivest–Shamir–Adleman) to encrypt the FP. Experimental results demonstrate the efficiency of our approach in terms of imperceptibility, the capability of detection of alterations, the capacity of embedding, and computation time. We have also prove the impact of VD decomposition on the quality of the watermarked image compared to block decomposition. The proposed method can be applicable in the case where the tamper detection is critical and only some regions of interest must be re-transmitted if they are corrupted, like in the case of medical images. An example of the application of our approach to medical image is briefly presented.
机译:在本文中,我们提出了一种用于图像认证的新型特征的脆弱水印方案。所提出的技术通过执行HARRIS角检测器提取特征点(FP),并将其用作使用VORONOI图(VD)将主机图像分解在段中。通过使用循环冗余校验码(CRC)保证每个段的认证。然后,将CRC编码过程应用于每个段以产生水印。与相似的几何分解算法相比,采用VORONOI分解,因为它具有良好的检索性能。我们提出方法的安全方面是通过使用公钥加密系统RSA(RIVEST-Shamir-Adleman)来加密FP来实现的。实验结果表明了我们对难以察觉,检测的能力,嵌入能力和计算时间的方法的效率。与块分解相比,我们还证明了VD分解对水印图像质量的影响。在篡改检测至关重要的情况下,该方法可以适用,如果在医学图像的情况下,必须重新传输一些感兴趣区域。简要介绍了我们对医学图像的方法的应用的一个例子。

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