Reversible image watermarking based on full context prediction

Authors:
Ming Chen;Zhenyong Chen;Xiao Zeng;Zhang Xiong
Affiliations:
School of Computer Science and Engineering, Beihang University, Beijing, China;School of Computer Science and Engineering, Beihang University, Beijing, China;School of Computer Science and Engineering, Beihang University, Beijing, China;School of Computer Science and Engineering, Beihang University, Beijing, China
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

This paper proposes a reversible image watermarking scheme of low distortion and relatively large capacity, wherein prediction-errors are modified at most by 1 to embed secret bits. Different from most existing predictors, where only a partial prediction context is available, we provide a full context for every pixel in our watermarking scheme. Predictors operating on full contexts are preciser and thus produce smaller prediction-errors, which are more favorable for data embedding. Experimental results also validate that the proposed scheme can achieve high image fidelity while providing relatively large capacity.