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  • 标题:A NEW PROPOSAL OF COMPRESSION METHOD FOR ENHANCING SHAMIR�S SECRET SHARING USING GAUSSIAN ELIMINATION BASED ON HYBRID TRANSFORM CODING (IWT-DCT)
  • 本地全文:下载
  • 作者:SALAH S. AL-RAWI ; AHMED S. FASIH ; AHMED T. SADIQ
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2019
  • 卷号:97
  • 期号:1
  • 页码:109-120
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Based on the dictionary coding technique, a new lossless compression method (CBDM) is presented to compress the color image in sufficient manner without missing any information and give a good CR. Then we use this proposed method in the sharing scheme (which presented and explained in reference [3]) to enhancing the performance of the system by combining it with other methods in compression phase into the sharing system, which suggested to share a secret image into multiple shadow pictures utilizing a method for solving a system of linear equation by Gaussian Elimination and scheme of Shamir�s threshold. This sharing system gives a shadow image size for everyone user to be as smaller as possible [1/4.6*(v/k)] of the secret image (where v=2,3,.., according to k value; the minimum number of qualified shares to reconstruct the secret), and any number of shares less than k uncovers any data about the secret image. This technique is secure for an image sharing with excellent execution time and gives fantastic (PSNR) value rate [larger than 34 dB] as shown in result table using DPCM that keep an image quality good however much as could be expected.
  • 关键词:Secret Image Sharing (SIS); Visual Secret (VS); RLC; DPCM; Gaussian Elimination (GE).
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