• DocumentCode
    22161
  • Title

    Reversible Data Hiding Using Controlled Contrast Enhancement and Integer Wavelet Transform

  • Author

    Guangyong Gao ; Yun-Qing Shi

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Jiujiang Univ., Jiujiang, China
  • Volume
    22
  • Issue
    11
  • fYear
    2015
  • fDate
    Nov. 2015
  • Firstpage
    2078
  • Lastpage
    2082
  • Abstract
    The conventional reversible data hiding (RDH) algorithms pursue high Peak-Signal-to-Noise-Ratio (PSNR) at the certain amount of embedding bits. Recently, Wu et al. deemed that the improvement of image visual quality is more important than keeping high PSNR. Based on this viewpoint, they presented a novel RDH scheme, utilizing contrast enhancement to replace the PSNR. However, when a large number of bits are embedded, image contrast is over-enhanced, which introduces obvious distortion for human visual perception. Motivated by this issue, a new RDH scheme is proposed using the controlled contrast enhancement (CCE) and Haar integer wavelet transform (IWT). The proposed scheme has large embedding capacity while maintaining satisfactory visual perception. Experimental results have demonstrated the effectiveness of the proposed scheme.
  • Keywords
    Haar transforms; data encapsulation; image denoising; image enhancement; wavelet transforms; CCE; Haar IWT; Haar integer wavelet transform; RDH scheme; controlled contrast enhancement; high PSNR; high peak-signal-to-noise-ratio; human visual perception; image contrast enhancement; image visual quality; reversible data hiding algorithm; Data mining; Distortion; Histograms; Image restoration; Visualization; Wavelet transforms; Controlled contrast enhancement; integer wavelet transform; reversible data hiding;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2015.2459055
  • Filename
    7164292