Healthcare image watermarking scheme based on human visual model and back-propagation network

Der Chyuan Lou*, Ming Chiang Hu, Jiang Lung Liu

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

15 Scopus citations

Abstract

In this paper proposed a new healthcare image watermarking scheme based on human visual model and back-propagation network technique. The human visual model which is characterized by properties like luminance, frequency, and texture sensitivities was utilized to generate the suitable strength of an embedded watermark. In addition, the back-propagation network technique was employed to obtain the local characteristic of an image. Experimental results showed that the embedded watermark proposed healthcare image that could survive several kinds of image-processing attacks and the JPEG lossy compression. The proposed image watermarking scheme can be used on the Internet to reduce difficulties that medical personnel may encounter.

Original languageEnglish
Pages (from-to)151-161
Number of pages11
JournalChung Cheng Ling Hsueh Pao/Journal of Chung Cheng Institute of Technology
Volume37
Issue number1
StatePublished - 2009
Externally publishedYes

Keywords

  • Back-propagation network
  • Digital watermarking
  • Healthcare image
  • Human visual model
  • Image protection

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