• DocumentCode
    2104328
  • Title

    Reversible Data Hiding Based on Histogram Shifting of Prediction Errors

  • Author

    Hong, Wien ; Chen, Tung-Shou ; Shiu, Chih-Wei

  • Author_Institution
    Dept. of Inf. Manage., Yu Da Coll. of Bus., Miaoli
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    292
  • Lastpage
    295
  • Abstract
    In this paper, a reversible data hiding scheme based on histogram-shifting of prediction errors (HSPE) is proposed. Two-stage structures, the prediction stage and the error modification stage, are employed in our scheme. In the prediction stage, value of each pixel is predicted, and the error of the predicted value is obtained. In the error modification stage, histogram-shifting technique is used to prepare vacant positions for embedding data. The peak signal-to-noise ratio (PSNR) of the stego image produced by HSPE is guaranteed to be above 48 dB, while the embedding capacity is, in average, 4.74 times higher than that of the well known Ni et al.psilas technique with the same PSNR. Besides, the stego image quality produced by HSPE gains 7.99 dB higher than that of Ni et al.psilas method under the same embedding capacity. Experimental results indicate that the proposed data hiding scheme outperforms the prior works not only in terms of larger payload, but also in terms of stego image quality.
  • Keywords
    data encapsulation; image processing; error stage; histogram shifting; peak signal-to-noise ratio; prediction errors; reversible data hiding; stego image quality; Application software; Computer errors; Data encapsulation; Data mining; Digital images; Histograms; Image quality; Information technology; PSNR; Pixel; Data hiding; Histogram-Shifting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3505-0
  • Type

    conf

  • DOI
    10.1109/IITA.Workshops.2008.119
  • Filename
    4731936