A reversible data hiding method with contrast enhancement for medical images

Hao Tian Wu, Jiwu Huang, Yun Qing Shi

Research output: Contribution to journalArticlepeer-review

115 Scopus citations


Abstract In this paper, a reversible data hiding method with contrast enhancement is presented for medical images. Firstly, image background segmentation is performed and the principal gray-scale values in the segmented background are identified. By excluding the corresponding histogram bins from being expanded for data hiding, the contrast of region of interest (ROI) in medical images can be selectively enhanced. Considering the characteristics of pixel distribution, we develop a new pre-processing strategy to reduce the visual distortions that may be caused. With the proposed method, an original image can be exactly recovered from the corresponding enhanced image by hiding the side information within it. The experimental results on a set of medical images show that the visibility of ROI can be improved. Compared with the previous method, the proposed method can achieve more contrast enhancement effects and better visual quality for medical images.

Original languageEnglish (US)
Article number1542
Pages (from-to)146-153
Number of pages8
JournalJournal of Visual Communication and Image Representation
StatePublished - Jul 2 2015

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


  • Authentication
  • Background segmentation
  • Contrast enhancement
  • Histogram
  • Medical image
  • Region of interest
  • Reversible data hiding
  • Visual quality


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