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Turbo coding for sample-level watermarking in the DCT domain

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3 Author(s)
Balado, F. ; Commun. Technol. Dept., Univ. of Vigo, Spain ; Perez-Gonzalez, F. ; Scalise, S.

Coding at the sample level in still image watermarking takes advantage of avoiding a non-optimum initial diversity stage, used in many watermarking systems for tailoring Gaussian channels with desired properties. Nevertheless, the low signal-to-noise ratio (SNR) encountered, due to the perceptual constraints imposed to the watermark, makes necessary the use of very powerful coding techniques as it happens in deep-space communications.We study the application of turbo coding to sample-level discrete cosine transform (DCT) domain watermarking. This near-optimum codification strategy is possible thanks to the existence of statistical models in the DCT domain, that also permit the computation of theoretical bounds for performance

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Image Processing, 2001. Proceedings. 2001 International Conference on  (Volume:3 )

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