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Empirical Computation Of Rs-Analysis For Building Robust Steganography Using Integer Wavelet Transform And Genetic AlgorithmKeywords: component , Steganography , Genetic Algorithm , Resistant Secure-Analysus , Optimal Pixel Adjustment Process , Peak Signal to Noise Ratio. Abstract: The proposed system presents a novel approach of building a secure data hiding technique of Steganography using Integer Wavelet Transform along with Genetic Algorithm. The prominent focus of the proposed work is to develop Resistant Secure-analysis proof design with highest imperceptibility. Optimal Pixel Adjustment Process is also adopted to minimize the difference error between the input cover image and the embeddedimage 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
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