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Empirical Computation Of Rs-Analysis For Building Robust Steganography Using Integer Wavelet Transform And Genetic Algorithm

机译:基于整数小波变换和遗传算法的建筑鲁棒隐写术Rs分析的经验计算

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摘要

The p roposed system presents a novel approach of building a secure data hiding technique of Steganography using Integer Wavelet Tran sform along with Gen etic Algorithm. The prominent focus of the prop osed work is to develop Resistant Secu re-analysis proof design with h ighest imperceptibility. Optimal Pixel Adjustmen t Process is also adopted to minimize the difference error b etween the input cover image and the embedded-image and in order to maximize the hiding capacity with low distortions respectively. The analysis is done for mapping function, Peak Signal to Noise Ratio, image histogram, and parameters of RS analysis. The implementation results highlights that the proposed security measure basically gives better and optimal results in comparison to prior research work conducted using wavelets and Genetic Algorithm.
机译:该系统提出了一种使用整数小波变换和遗传算法建立隐写术的安全数据隐藏技术的新颖方法。拟议工作的重点是开发具有最大隐患性的Rescuant Secu再分析证明设计。还采用了最佳像素调整处理,以最小化输入封面图像和嵌入图像之间的差异误差,并分别以低失真最大化隐藏能力。对映射功能,峰值信噪比,图像直方图和RS分析的参数进行了分析。实施结果突出表明,与先前使用小波和遗传算法进行的研究工作相比,所提出的安全措施基本上给出了更好和最佳的结果。

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