• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A Perceptually-Adaptive High-Capacity Color Image Watermarking System

Vol. 11, No. 1, January 29, 2017
10.3837/tiis.2017.01.030, Download Paper (Free):

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.


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Cite this article

[IEEE Style]
L. Ghouti, "A Perceptually-Adaptive High-Capacity Color Image Watermarking System," KSII Transactions on Internet and Information Systems, vol. 11, no. 1, pp. 570-595, 2017. DOI: 10.3837/tiis.2017.01.030.

[ACM Style]
Lahouari Ghouti. 2017. A Perceptually-Adaptive High-Capacity Color Image Watermarking System. KSII Transactions on Internet and Information Systems, 11, 1, (2017), 570-595. DOI: 10.3837/tiis.2017.01.030.