Wavelet based Watermarking Techniques using Principal Component Analysis Domain

نویسندگان

  • Mehraj Ali
  • E. Vinoth Kumar
  • A. John
  • Sanjeev Kumar
  • M. K. Thakur
  • V. Saxena
  • J. P. Gupta
  • T. Tokar
  • T. Kanocz
  • D. Levicky
  • T. D. Hien
  • Y. W. Chen
  • Z. Nakao
  • S. A. K. Mostafa
  • A. S. Tolba
  • F. M. Abdelkader
  • H. M. Elhindy
چکیده

With increasing use of internet and effortless copying, tempering and distribution of digital data, copyright protection for multimedia data has become an important issue. Digital watermarking emerged as a tool for protecting the multimedia data from copyright infringement. In digital watermarking an imperceptible signal "mark" is embedded into the host image, which uniquely identifies the ownership. After embedding the watermark, there should be no perceptual degradation. These watermarks should not be removable by unauthorized person and should be robust against intentional and unintentional attacks. In this paper the method of characterizing is the most important and distinguishing features of wavelet-based watermarking

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تاریخ انتشار 2017