Reversible and embedded watermarking of medical images for telemedicine

Chung-Yen Su, Jeng-Ji Huang, Che Yang Shih, Yu Tang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we propose a new reversible watermarking of medical images for the applications in telemedicine. By using a bit-stream insertion scheme, the patient's information can be treated as a watermark and can be embedded into the bit-stream of a cover image for remote transmission. The proposed method simplifies the design of traditional image coding after a reversible watermarking. Experimental results show that the compression ratio can be achieved up to 3.025. The watermarking capacity can be obtained over 0.75 bpp for some common images. In addition, the watermark can be extracted exactly and the cover image can be reconstructed either in a lossless way or a lossy way. The obtained results also show the improvement with respect to previous works.

Original languageEnglish
Title of host publicationProceedings of the 2015 1st International Conference on Industrial Networks and Intelligent Systems, INISCom 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages145-150
Number of pages6
ISBN (Electronic)9781631900228
DOIs
Publication statusPublished - 2015 Jan 1
Event1st International Conference on Industrial Networks and Intelligent Systems, INISCom 2015 - Tokyo, Japan
Duration: 2015 Mar 22015 Mar 4

Other

Other1st International Conference on Industrial Networks and Intelligent Systems, INISCom 2015
CountryJapan
CityTokyo
Period15/3/215/3/4

Keywords

  • SPIHT
  • integer wavelet transform
  • lossless compression
  • reversible watermarking

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Industrial and Manufacturing Engineering
  • Human-Computer Interaction

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  • Cite this

    Su, C-Y., Huang, J-J., Shih, C. Y., & Chen, Y. T. (2015). Reversible and embedded watermarking of medical images for telemedicine. In Proceedings of the 2015 1st International Conference on Industrial Networks and Intelligent Systems, INISCom 2015 (pp. 145-150). [7157836] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.4108/icst.iniscom.2015.258307