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  • 标题:Evaluation of RS-Analysis Proficiency by Genetic Algorithm for Robust Steganography using IWT
  • 本地全文:下载
  • 作者:Dinesh Kumar ; Bhaskar Anand
  • 期刊名称:International Journal of Computer Technology and Applications
  • 电子版ISSN:2229-6093
  • 出版年度:2012
  • 卷号:3
  • 期号:4
  • 页码:1630-1636
  • 出版社:Technopark Publications
  • 摘要:The proposed system presents a novel approach of building a secure data hiding technique of Steganography using inverse wavelet transform along with Genetic algorithm. The prominent focus of the proposed work is to develop RS-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 embedded-image and in order to maximize the hiding capacity with low distortions respectively. The analysis is done for mapping function, PSNR, image histogram, and parameters of RS analysis. The simulation 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
  • 关键词:Steganography; Genetic Algorithm; RS-Analysus; Optimal Pixel Adjustment process; PSNR
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