Turbo coding for sample-level watermarking in the DCT domain

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 co...

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Bibliographic Details
Main Authors: Balado, F., Perez-Gonzalez, F., Scalise, S.
Format: Conference Proceeding
Language:English
Subjects:
Communications technology
Data encapsulation
Decoding
Discrete cosine transforms
Gaussian channels
Image coding
Iron
Modulation coding
Turbo codes
Watermarking
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Summary: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.
DOI:10.1109/ICIP.2001.958295