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A Novel Least Distortion Linear Gain Model for Halftone Image Watermarking Incorporating Perceptual Quality Metrics

  • Weina Jiang
  • Anthony T. S. Ho
  • Helen Treharne
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5510)

Abstract

In this paper, a least distortion approach is proposed for halftone image watermarking. The impacts of distortion and tonality problems in halftoning are analyzed. An iterative linear gain model is developed to optimize perceptual quality of watermarking halftone images with efficient computation complexity O(1). An optimum linear gain for data hiding error diffusion is derived and mapped into a standard linear gain model, with the tonality evaluated using the average power spectral density. As compared with Fu and Au’s data hiding error diffusion method, our experiments show that our proposed linear gain model can achieve an improvement of between 6.5% to 12% using weighted signal-to-noise ratio (WSNR) and an improvement of between 11% to 23% measured by visual image fidelity (VIF).

Keywords

Image Watermark Quantization Error Watermark Scheme Perceptual Quality Host Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Weina Jiang
    • 1
  • Anthony T. S. Ho
    • 1
  • Helen Treharne
    • 1
  1. 1.The Department of ComputingUniversity of SurreyGuildfordUK

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