A Fuzzy Watermarking Approach Based on the Human Visual System

نویسندگان

  • Sameh Oueslati
  • Adnane Cherif
چکیده

The implementation of our watermarking system is based on a hybrid system combining the human visual system (HVS) and the fuzzy inference system (FIS), which always passes through the transcription of human expertise in the form of fuzzy rules expressed in natural language, which allows our watermarking system remain understandable for non expert and become more friendly. The technique discussed in this paper is the use of an advanced approach to the technique of watermark that is the multi-watermark or the watermarking multiple of medical images in the frequency domain. In this approach, the emphasis will be on the safe side and the invisibility while maintaining robustness against a certain target range of attacks. Furthermore, this approach is based on a technique totally blind as we will detail later.

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تاریخ انتشار 2010