Reversible data hiding method based on combining IPVO
Reversible data hiding method based on combining IPVO with bias-added Rhombus predictor by multi-predictor mechanism Source: Signal Processing, November 2020 Authors: Guojun Fan, Zhibin Pan, Erdun Gao, Xinyi Gao and Xiaoran Zhang Speaker: Kai Gao Date: 2020/11/19 1
Outline • Related work • Proposed scheme • Experiments • Conclusions 2
Related work— IPVO-based PEE 3
Proposed scheme(1/7)—— Combining IPVO with Rhombus prediction by multi-predictor mechanism 162 160 161 163 164 161 160 161 161 4
Proposed scheme(2/7)—— Adaptive weighted local complexity metric 162 160 161 163 164 161 160 161 161 5
Proposed scheme(4/7)—— Bias-added Rhombus predictor {1, 1, 1} {0, 1, 1, 1, 1} {0, 0, 1, 1, 2, 3, 8, 8} {0, 0, 0, 1, 2, 3, 8, 8} , {0, 0, 1, 1, 1, 3, 8, 8} , {0, 0, 1, 1, 2, 2, 8, 8} and {0, 0, 1, 1, 2, 2, 7, 8}. 7
Proposed scheme(6/7) 9
Proposed scheme(7/7) ——Running time optimization 10
Experiments(1/3) 11
Experiments(2/3) [41] S. Weng, Y. Q. Shi, W. Hong and Y. Yao, “Dynamic improved pixel value ordering reversible data hiding, ” Inf. Sci. , vol. 489, pp. 136– 154, 2019. [38] W. He, J. Cai, K Zhou and G. Xiong, “Efficient PVO-based reversible data hiding using multistage blocking and prediction accuracy matrix, ” J. Vis. Commun. Image Represent. , vol. 46, pp 58– 69, 2017. [39] X. Qu and H. J. Kim, “Pixel-based pixel value ordering predictor for high-fidelity reversible data hiding, ” Signal Process. , vol. 111, pp. 249– 260, 2015. [36] F. Peng, X. Li and B. Yang, “Improved PVO-based reversible data hiding, ”Digital Signal Process. , vol. 25, 34 no. 2, pp. 255– 265, 2014. [18] V. Sachnev, H. J. Kim, J. Nam, S. Suresh, and Y. Q. Shi, “Reversible watermarking algorithm using sorting and prediction, ” IEEE Trans. Circuits Syst. Video Technol. , vol. 12 19, no. 7, pp. 989– 999, 2009.
Experiments(3/3) 13
Conclusions • Combining IPVO and Rhombus predictor by the multi-predictor mechanism • Proposing an adaptive weighted local complexity metric. • Designing a bias-added Rhombus predictor to replace the conventional Rhombus predictor. 14
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