• DocumentCode
    1571237
  • Title

    Reversible data hiding based on interleaving max-min difference histogram

  • Author

    Yang, Hsien-Wei ; Hwang, Kuo Feng ; Liao, I-En

  • Author_Institution
    Dept. of Inf. Manage., Overseas Chinese Univ., Taichung, Taiwan
  • fYear
    2009
  • Firstpage
    823
  • Lastpage
    828
  • Abstract
    This work proposed a reversible data hiding algorithm that is based on the interleaving max-min difference histogram. The method divides the cover image into non-overlapping identical blocks. In each block, the maximum or minimum pixel is selected to calculate absolute differences between the gray level value of the selected pixel and that of the other pixels. Then, these differences are used to generate a histogram and the histogram shifting method is adopted to embed data. The change of the pixel gray level upon shifting and embedding obtained using the max difference is contrary to that obtained using the min difference. The method of interleaving uses the max difference and the min difference to counteract the change in the gray levels of some pixels. The total of the changed gray level values is thus reduced. Therefore, the PSNR value can be increased and the quality of the stego image improved. Experimental results reveal that the proposed method yields a higher embedding capacity than that of the median difference histogram.
  • Keywords
    image coding; steganography; histogram shifting method; interleaving max-min difference histogram; median difference histogram; reversible data hiding; stego image quality; Biomedical informatics; Data encapsulation; Fuzzy systems; Histograms; Interleaved codes; Medical services; Medical tests; Psychiatry; Psychology; System testing; difference; histogram shifting; max difference; min difference; reversible data hiding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing (JCPC), 2009 Joint Conferences on
  • Conference_Location
    Tamsui, Taipei
  • Print_ISBN
    978-1-4244-5227-9
  • Electronic_ISBN
    978-1-4244-5228-6
  • Type

    conf

  • DOI
    10.1109/JCPC.2009.5420071
  • Filename
    5420071