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首页> 外文期刊>International Journal of Information Technology and Computer Science >Robust, Secure and High Capacity Watermarking Technique based on Image Partitioning-Merging Scheme
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Robust, Secure and High Capacity Watermarking Technique based on Image Partitioning-Merging Scheme

机译:基于图像分割合并方案的鲁棒,安全,大容量水印技术

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摘要

This paper presents secure and high capacity watermarking technique using novel approach of Image Partitioning-Merging Scheme (IPMS). The IPMS is used as reduction method to reduce the size of watermark logically and increases security levels of proposed watermarking technique. The technique effectively uses special properties of Discrete Wavelet Transform (DWT), Fast Walse Hadamrd Transform (FWHT), Singular Value Decomposition (SVD) and proved strongly robust to 14 noise addition and filtering attacks. Fibonacci Lucas Transform (FLT) is used as effective scrambling technique to scramble the watermark to provide additional security in embedding process. Many researchers failed to achieve imperceptibility and robustness under high watermark embedding scenario with strong security provision as these quality parameters conflict each other. The novel technique presented here archives imperceptibility, high capacity watermark embedding, security and robustness against 14 noise addition and filtering attacks. The technique is non-blind and tested with grey scale cover images of size 512x512 and watermark images of size 512x512. The experimental results demonstrate that Lena image gives 75.8446dBs imperceptibility which is measured in terms of Peak signal to noise ratio. The robustness is measured in terms of normalized correlation (NC) equals to 1 showing exact recovery of watermark. The method is found strongly robust against noise addition and filtering attacks with compared to existing watermarking methods under consideration.
机译:本文提出了一种使用图像分割合并方案(IPMS)的新方法的安全和大容量水印技术。 IPMS被用作减少方法,以在逻辑上减小水印的大小并提高所提出的水印技术的安全级别。该技术有效利用了离散小波变换(DWT),快速Walse Hadamrd变换(FWHT),奇异值分解(SVD)的特殊属性,并被证明对14种噪声加法和滤波攻击具有很强的鲁棒性。斐波那契卢卡斯变换(FLT)被用作有效的加扰技术来加扰水印,以在嵌入过程中提供额外的安全性。在高水印嵌入场景下,由于质量参数相互冲突,许多研究人员未能在高水印嵌入场景下实现不可感知性和鲁棒性。这里介绍的新技术可对14种噪声添加和过滤攻击进行感知,存档,高容量水印嵌入,安全性和鲁棒性。该技术是非盲的,并已通过512x512大小的灰度封面图像和512x512大小的水印图像进行了测试。实验结果表明,Lena图像具有75.8446dBs的不可感知性,这是根据峰值信噪比测得的。鲁棒性是根据归一化相关性(NC)等于1来衡量的,表明水印的准确恢复。与正在考虑的现有水印方法相比,发现该方法对噪声添加和滤波攻击具有很强的鲁棒性。

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