• DocumentCode
    1881183
  • Title

    Expand Variance Mean sorting for Reversible Watermarking

  • Author

    Aekawit, K. ; Parinya, S. ; Kasemsan, M. L Kulthon

  • Author_Institution
    Fac. of Inf. Technol., Rangsit Univ., Rangsit, Thailand
  • fYear
    2012
  • fDate
    12-15 Aug. 2012
  • Firstpage
    668
  • Lastpage
    673
  • Abstract
    Prediction Error Expansion is one of Reversible Watermarking (RW) techniques that gives effective results and has been continuously developed over the years. Among those techniques, Sorting Absolute Prediction Error (APE) is an important step used to reduce image distortion; so in this research we focus on developing the technique of sorting APE in ascending order more accurately. We can use local variance values in predicting APE and these values are calculated from means so they are suitable for predicting which areas contains high or low APE values. Consequently, we have improved this parameter by using Expand Variance Mean which can increase efficiency of sorting process and raise PSNR values.
  • Keywords
    image watermarking; PSNR value; RW technique; expand variance mean; image distortion reduction; prediction error expansion; reversible watermarking technique; sorting APE; sorting absolute prediction error; Data mining; Equations; Histograms; PSNR; Payloads; Sorting; Watermarking; Lossless Data Hiding; Prediction Error Expansion; Reversible Watermarking; Variance Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-2192-1
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2012.6335606
  • Filename
    6335606