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  • 标题:Random Abrasion on Image for Security Magnification
  • 本地全文:下载
  • 作者:Amirtharajan ; R. Anushiadevi ; V. Meena
  • 期刊名称:Research Journal of Information Technology
  • 印刷版ISSN:1815-7432
  • 电子版ISSN:2151-7959
  • 出版年度:2013
  • 卷号:5
  • 期号:3
  • 页码:317-328
  • DOI:10.3923/rjit.2013.317.328
  • 出版社:Academic Journals Inc., USA
  • 摘要:In this study, projected a model for safe secret-digital file transmission by having Steganography as the ground. Steganography, in prehistoric times, dealt with camouflage of secrets between two parties. A part from text, many images, audio and video in millions are shared between millions. All sorts of the aforesaid face a common and serious challenge. Here proposed three routines, in which clandestine information is embedded based on the key in method 1, i.e., number and position of 1s in the four Least Significant Bits (LSB) of the key decides the pixels for embedding. In method 2, position of 1s in the entire key decides the pixels and the position of 1s in four LSBs only decides the location for embedding. In method 3, secret data is plunged by means of the same process but not directly. Instead, it is encoded by Huffman Coding and then embedded. Justification for this study is given by computing Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR) values for all the planes in the images by taking sample key values for all the three methods. Experimental results are demonstrated and the corresponding image outputs are also presented.
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