• DocumentCode
    834376
  • Title

    An accurate analysis of scalar quantization-based data hiding

  • Author

    Pérez-Freire, Luis ; Pérez-González, Fernando ; Voloshynovskiy, Sviatoslav

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Geneva, Geneve, Switzerland
  • Volume
    1
  • Issue
    1
  • fYear
    2006
  • fDate
    3/1/2006 12:00:00 AM
  • Firstpage
    80
  • Lastpage
    86
  • Abstract
    This paper comes to fill a gap in watermarking theory, analyzing the exact performance of the scalar Costa scheme (SCS) facing additive Gaussian attacks when the usual approximation of high-resolution quantization is not valid, thus taking into account the host statistics. The analysis is focused on the assessment of the probability of error, showing new results, an although it is valid in a general scenario, its practical interest is increased when SCS is used in conjunction with the so-called spread-transform. The accomplished reformulation of the problem also permits to show that the achievable rate of SCS is never worse than that of classical spread-spectrum-based methods, as it was thought so far, and allows to establish interesting links with spread spectrum and the Improved Spread Spectrum method.
  • Keywords
    Gaussian distribution; data encapsulation; error statistics; quantisation (signal); watermarking; additive Gaussian attacks; data hiding; error probability; scalar Costa schemes; scalar quantization; spread spectrum; spread transform; watermarking theory; AWGN; Bit error rate; Data encapsulation; Performance analysis; Probability; Quantization; Signal analysis; Spread spectrum communication; Statistical analysis; Watermarking; Achievable rate; bit error rate; improved spread spectrum; scalar Costa scheme; spread spectrum; watermarking/data-hiding with side information;
  • fLanguage
    English
  • Journal_Title
    Information Forensics and Security, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1556-6013
  • Type

    jour

  • DOI
    10.1109/TIFS.2005.863488
  • Filename
    1597137