Improve Robustness of Image Watermarking via Adaptive Receiving (TP-P8)

Author(s) : Xiangui Kang (Sun Yat-Sen University, China) Jiwu Huang (Sun Yat-Sen University, China) Yun Q. Shi (New Jersey Institute of Technology, USA)

Abstract : Almost all the existing popular watermarking schemes model the watermarking channel noises as additive noise with zero-mean. However, our experiments show that this is not reasonable in the case of channel noise introduced by image filtering. This paper presents a new quantization-based watermarking scheme with enhanced robustness via adaptive receiving and Turbo coding in addition to other measures. The present algorithm can successfully resist almost all the StirMark testing functions including both common signal processing and geometric distortions in StirMark 4.0 except for random distortion.

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