Abstract
Until now, most reversible data hiding techniques have been evaluated by peak signal-to-noise ratio(PSNR), which based on mean squared error(MSE). Unfortunately, MSE turns out to be an extremely poor measure when the purpose is to predict perceived signal fidelity or quality. The structural similarity (SSIM) index has gained widespread popularity as an alternative motivating principle for the design of image quality measures. How to utilize the characterize of SSIM to design RDH algorithm is very critical. In this paper, we propose an optimal RDH algorithm under structural similarity constraint. Firstly, we deduce the metric of the structural similarity constraint, and further we prove it does’t hold non-crossing-edges property. Secondly, we construct the rate-distortion function of optimal structural similarity constraint, which is equivalent to minimize the average distortion for a given embedding rate, and then we can obtain the optimal transition probability matrix under the structural similarity constraint. Comparing with previous RDH, our method have gained the improvement of SSIM about 1.89 % on average. Experiments show that our proposed method outperforms the state-of-arts performance in SSIM.








Similar content being viewed by others
References
Brunet D, Vrscay ER, Wang Z (2012) On the mathematical properties of the structural similarity index. IEEE Trans Image Process 21(4):1488–1499
Cohen S (1999) Finding color and shape patterns in image. In: Ph.D. dissertation, Stanford University
Fridrich J, Goljan M (2002) Lossless data embedding for all image formats. Proc SPIE 4675:572–583
Gui X, Li X, Yang B (2014) A high capacity reversible data hiding scheme based on generalized prediction-error expansion and adaptive embedding. Signal Process 98 (2):370–380
Haibin L, Kazunori O (2007) An Efficient Earth Movers Distance Algorithm for Robust Histogram Comparison. IEEE Trans Pattern Anal Mach Intell 29(5):840–853
Hu Y, Lee HK, Li J (2009) DE-based reversible data hiding with improved overflow location map. IEEE Trans Circuits Syst Video Technol 19(2):250–260
Hu X, Zhang W, Hu X, Yu N, Zhao X, Li F (2013) Fast estimation of optimal marked-signal distribution for reversible data hiding. IEEE Trans Inf Forensics Secur 8(5):779–788
Kalker T, Willems F (2002) Capacity bounds and code constructions for reversible data-hiding. In: Proc. of 14th International Conference on Digital Signal Processing, DSP2002, pp. 71–76
Laboratory for Image and Video Engineering: http://live.ece.utexas.edu/
Li X, Yang B, Zeng T (2011) Efficient reversible watermarking based on adaptive prediction-error expansion and pixel selection. IEEE Trans Image Process 20(12):3524–3533
Lin S-J, Chung W-H (2012) The Scalar Scheme for Reversible Information-Embedding in Gray-scale Signals: Capacity Evaluation and Code Constructions. IEEE Trans Inf Forensics Secur 7(4):1155–1167
Ni Z, Shi Y, Ansari N, Wei S (2006) Reversible data hiding. IEEE Trans Circuits Syst Video Technol 16(3):354–362
Peng F, Li X, Yang B (2012) Adaptive reversible data hiding scheme based on integer transform. Signal Process 92(1):54–62
Qi Z, Zhi Y, Hai T (2010) Differential earth movers distance with its applications to visual tracking. IEEE Trans Pattern Anal Mach Intell 32(2):274–287
Qin C, Zhang X (2015) Effective Reversible Data Hiding in Encrypted Image with Privacy Protection for Image Content. J Vis Commun Image Represent 31:154–164
Qin C, Chang C, Hsu T (2015) Reversible Data Hiding Scheme Based on Exploiting Modification Direction with Two Steganographic Images. Multimedia Tools and Appl 74(15):5861–5872
Qin C, Chang C, Huang Y, Liao L (2013) An Inpainting-Assisted Reversible Steganographic Scheme Using a Histogram Shifting Mechanism. IEEE Trans Circuits Syst Video Technol 23(7):1109–1118
Rubner Y (1999) Perceptual metrics for image database navigation. In: Ph.D. dissertation Stanford University
Sachnev V, Kim HJ, Nam J, Suresh S, Shi Y (2009) Reversible watermarking algorithm using sorting and prediction. IEEE Trans Circuits Syst Video Technol 19(7):989–999
Tian J (2003) Reversible data embedding using a difference expansion. IEEE Trans. Circuits Syst Video Technol 13(8):890–896
Thodi DM, Rodriguez JJ (2007) Expansion embedding techniques for reversible watermarking. IEEE Trans Image Process 16(3):721–730
Wang Z, Bovik AC (2009) Mean squared error: Love it or leave it? A new look at signal fidelity measures. IEEE Signal Process Mag 26(1)
Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13 (4)
Wang S, Rehman A, Wang Z, Ma S, Gao W (2013) SSIM-inspired divisive normalization for perceptual video coding. IEEE Trans Image Process 22(4):1418–1429
Xiannian F, Changhe Y, Malone BM (2014) Tightening bounds for bayesian network structure learning. AAAI
Xiannian F, Malone B, Yuan C (2014) Finding optimal Bayesian network structures with constraints learned from data. In: Proceedings of the 30th Annual Conference on Uncertainty in Artificial Intelligence (UAI-14)
Zhang X (2013) Reversible Data Hiding with Optimal Value Transfer. IEEE Trans Multimedia 15(2):316–325
Zhang W, Chen B, Yu N (2011) Capacity-Approaching Codes for Reversible Data Hiding. In: Proc. of 13th Information Hiding Conference, Prague
Zhang W, Chen B, Yu N (2011) Capacity-approaching codes for reversible data hiding. In: Proceeding 13th Information Hiding Conference, LNCS 6958, pp 255–269
Zhang W, Chen B, Yu N (2012) Improving Various Reversible Data Hiding Schemes via Optimal Codes for Binary Covers. IEEE Trans Image Process 21 (6):2991–3003
Zhang W, Hu X, Li X, Yu N (2013) Recursive Histogram Modification: Establishing Equivalency Between Reversible Data Hiding and Lossless Data Compression. IEEE Trans Image Process 22(7):2775–2785
Acknowledgments
This work was supported in part by the Natural Science Foundation of China under Grants 61170234 and 60803155, and by the Strategic Priority Research Program of the Chinese Academy of Sciences under Grant XDA06030601.
Author information
Authors and Affiliations
Corresponding author
Additional information
This work was supported in part by the Natural Science Foundation of China under Grants 61170234 and 60803155, and by the Strategic Priority Research Program of the Chinese Academy of Sciences under Grant XDA06030601.
Rights and permissions
About this article
Cite this article
Xu, J., Zhang, W., Jiang, R. et al. Optimal structural similarity constraint for reversible data hiding. Multimed Tools Appl 76, 15491–15511 (2017). https://doi.org/10.1007/s11042-016-3850-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-016-3850-z