Title :
Turbo coding for sample-level watermarking in the DCT domain
Author :
Balado, Félix ; González, Fernando Pérez ; Scalise, Sandro
Author_Institution :
Commun. Technol. Dept., Univ. of Vigo, Spain
fDate :
6/23/1905 12:00:00 AM
Abstract :
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
Keywords :
Gaussian channels; concatenated codes; convolutional codes; copy protection; data compression; data encapsulation; discrete cosine transforms; image coding; image sampling; iterative decoding; security of data; space communication links; statistical analysis; transform coding; turbo codes; DCT domain watermarking; Gaussian channels; SNR; data hiding; deep-space communications; discrete cosine transform; iterative decoding; low signal-to-noise ratio; nonoptimum initial diversity stage; parallel encoders concatenation; recursive systematic convolutional encoders; sample level coding; sample-level watermarking; statistical models; still image watermarking; turbo coding; Communications technology; Data encapsulation; Decoding; Discrete cosine transforms; Gaussian channels; Image coding; Iron; Modulation coding; Turbo codes; Watermarking;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958295
