Reversible Data Hiding with Image Contrast Enhancement Based on Two-Dimensional Histogram Modification

Hao Tian Wu, Weiqi Mai, Shuyi Meng, Yiu Ming Cheung*, Shaohua Tang

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

43 Citations (Scopus)


Recently, reversible image data hiding with contrast enhancement (CE) has been proposed so that a contrast-changed image can be converted to its original version when needed. Several reversible image CE methods have been proposed by adopting the technique of reversible data hiding (RDH) to embed the recovery information into the contrast-enhanced images. In these methods, the 1D histogram is calculated and then modified to achieve the effects of histogram equalization (HE). Meanwhile, the 2D histogram has been used in image CE and demonstrated remarkable advantages in improving the image quality. In this paper, the method based on the 2D histogram modification is proposed to perform image CE and RDH simultaneously. In particular, a preprocessing strategy is developed to merge the adjacent bins in 2D histogram to prevent the overflow and underflow of the pixel values due to HE. The changes made in preprocessing is minimized by choosing the lowest bins for merging, while the CE effects can be achieved by expanding the highest bins for data embedding. The experimental results on two sets of test images have clearly demonstrated the efficacy of the proposed method for reversible image CE. The evaluation results are given to show its superior performances in CE and image quality preservation by comparing with the state-of-the-art approaches.

Original languageEnglish
Article number8732326
Pages (from-to)83332-83342
Number of pages11
JournalIEEE Access
Publication statusPublished - 6 Jun 2019

Scopus Subject Areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

User-Defined Keywords

  • 2D histogram
  • Image enhancement
  • image quality
  • reversible data hiding


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