A perceptually-adaptive high-capacity color image watermarking system

Lahouari Ghouti*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Robust and perceptually-adaptive image watermarking algorithms have mainly targeted gray-scale images either at the modeling or embedding levels despite the widespread availability of color images. Only few of the existing algorithms are specifically designed for color images where color correlation and perception are constructively exploited. In this paper, a new perceptual and high-capacity color image watermarking solution is proposed based on the extension of Tsui et al. algorithm. The CIEL*a*b* space and the spatio-chromatic Fourier transform (SCFT) are combined along with a perceptual model to hide watermarks in color images where the embedding process reconciles between the conflicting requirements of digital watermarking. The perceptual model, based on an emerging color image model, exploits the non-uniform just-noticeable color difference (NUJNCD) thresholds of the CIEL*a*b* space. Also, spread-spectrum techniques and semi-random low-density parity check codes (SR-LDPC) are used to boost the watermark robustness and capacity. Unlike, existing color-based models, the data hiding capacity of our scheme relies on a game-theoretic model where upper bounds for watermark embedding are derived. Finally, the proposed watermarking solution outperforms existing color-based watermarking schemes in terms of robustness to standard image/color attacks, hiding capacity and imperceptibility.

Original languageEnglish
Pages (from-to)570-595
Number of pages26
JournalKSII Transactions on Internet and Information Systems
Volume11
Issue number1
DOIs
StatePublished - 30 Jan 2017

Bibliographical note

Publisher Copyright:
© 2017 KSII.

Keywords

  • Color image watermarking
  • Data hiding capacity
  • Perceptual models
  • Spatio-chromatic fourier transform

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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