Reversible watermarking for medical images using histogram shifting with location map reduction

Nai Kuei Chen, Chung-Yen Su, Che Yang Shih, Yu Tang Chen

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

7 Citations (Scopus)

Abstract

In this paper, an improved lossless data hiding method with histogram shifting for medical images is proposed. In general, medical images consist of many pure black and white points. In the previous studies, it may need a lot of data as a location map to reconstruct the watermark and the cover image. To solve this problem, we present a new method to record the location map. We use two bits for each block to record the information of histogram shifting and one bit to denote the change of each pixel value on the cover image. The purpose of the former two bits is to avoid wrong information in the extracting process, while that of the latter one is to avoid overflow and underflow. Experimental results show that our method can reduce the size of location map up to 95.04% compared to the previous studies.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages792-797
Number of pages6
ISBN (Electronic)9781467380751
DOIs
Publication statusPublished - 2016 May 19
EventIEEE International Conference on Industrial Technology, ICIT 2016 - Taipei, Taiwan
Duration: 2016 Mar 142016 Mar 17

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2016-May

Other

OtherIEEE International Conference on Industrial Technology, ICIT 2016
CountryTaiwan
CityTaipei
Period16/3/1416/3/17

Keywords

  • histogram shifting
  • location map
  • lossless data hiding
  • medical images

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Chen, N. K., Su, C-Y., Shih, C. Y., & Chen, Y. T. (2016). Reversible watermarking for medical images using histogram shifting with location map reduction. In Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016 (pp. 792-797). [7474852] (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2016-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2016.7474852