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 constraints imposed to the watermark, makes necessary the use of very powerful coding techniques as it happens in deep-space communications. In this paper we study the application of turbo coding to sample-level discrete cosine transform (DCT) domain watermarking. This nearoptimum 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.

• Type: Conference
• Year: 2001
• Where: ICIP
• Authors: Fabiano Baldo, Federico Pérez González, Sandro Scalise
• Keywords: Discrete Cosine Transform, ICIP 2001, Image Processing, Image Watermarking Takes, Powerful Coding Techniques