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文章基本信息

  • 标题:An Improved Scheme for Digital Watermarking Using Functional Link Artificial Neural Network
  • 本地全文:下载
  • 作者:Majhi, Banshidhar ; Shalabi, Hasan
  • 期刊名称:Journal of Computer Science
  • 印刷版ISSN:1549-3636
  • 出版年度:2005
  • 卷号:1
  • 期号:2
  • 页码:169-174
  • DOI:10.3844/jcssp.2005.169.174
  • 出版社:Science Publications
  • 摘要:The present study proposes a novel technique for copyright protection by utilizing digital watermarking of Images. The watermark is embedded and detected by using Functional Link Artificial Neural Network (FLANN) and Discrete Cosine Transform (DCT). The exhaustive simulation results of the proposed scheme show improved performance over the existing methods in all cases, i.e. when the watermarked image is subjected to compression, cropping, sharpening, blurring and noise. Comparative analysis with an existing neural approach shows the superiority of the proposed scheme of computational complexity and performance.
  • 关键词:Digital Watermarking; One-way Hash Function; FLANN; MLP; DCT; JPEG Compression; Cropping
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