Intelligent reversible watermarking in integer wavelet domain for medical images

نویسندگان

  • Muhammad Arsalan
  • Sana Ambreen Malik
  • Asifullah Khan
چکیده

The prime requirement of reversible watermarking scheme is that the system should be able to restore the cover work to its original state after extracting the hidden information. Reversible watermarking approaches, therefore, have wide applications in medical and defense imagery. In this paper, an intelligent reversible watermarking approach GA-RevWM for medical images is proposed. GA-RevWM is based on the concept of block-based embedding using genetic algorithm (GA) and integer wavelet transform (IWT).

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عنوان ژورنال:
  • Journal of Systems and Software

دوره 85  شماره 

صفحات  -

تاریخ انتشار 2012