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Robust and false positive free watermarking in IWT domain using SVD and ABC

机译:使用SVD和ABC在IWT域中进行可靠和假阳性的免费水印

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摘要

Watermarking is used to protect the copyrighted materials from being misused and help us to know the lawful ownership. The security of any watermarking scheme is always a prime concern for the developer. In this work, the robustness and security issue of IWT (integer wavelet transform) and SVD (singular value decomposition) based watermarking is explored. Generally, SVD based watermarking techniques suffer with an issue of false positive problem. This leads to even authenticating the wrong owner. We are proposing a novel solution to this false positive problem; that arises in SVD based approach. Firstly, IWT is employed on the host image and then SVD is performed on this transformed host. The properties of IWT and SVD help in achieving high value of robustness. Singular values are used for the watermark embedding. In order to further improve the quality of watermarking, the optimization of scaling factor (mixing ratio) is performed with the help of artificial bee colony (ABC) algorithm. A comparison with other schemes is performed to show the superiority of proposed scheme.
机译:水印用于保护版权材料免遭滥用,并帮助我们了解合法所有权。对于开发人员而言,任何水印方案的安全性始终是首要考虑的问题。在这项工作中,探讨了基于IWT(整数小波变换)和SVD(奇异值分解)水印的鲁棒性和安全性问题。通常,基于SVD的水印技术存在误报问题。这甚至导致验证错误的所有者。我们正在为这种假阳性问题提出新颖的解决方案。这是基于SVD的方法中出现的。首先,在主机映像上使用IWT,然后在此转换后的主机上执行SVD。 IWT和SVD的属性有助于实现高强度。奇异值用于水印嵌入。为了进一步提高水印质量,借助人工蜂群(ABC)算法对缩放因子(混合比)进行了优化。与其他方案进行比较以显示所提出方案的优越性。

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