Abstract
In this paper, a high-performance error-prediction method based on multiple linear regression (MLR) algorithm is proposed to improve the performance of reversible data hiding (RDH). The MLR matrix function indicates the inner correlation between the pixels and its neighbors is established adaptively according to the consistency of pixels in local area of a natural image, and thus the object pixel is predicted accurately with the achieved MLR function that satisfies the consistency of the neighboring pixels. Compared with conventional methods that only predict the object pixel with simple arithmetic combination of its surroundings pixel, the experimental results show that the proposed method can provide a sparser prediction-error image for data embedding, and thus improves the performance of RDH more effectively than those state-of-the-art error prediction algorithms.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Shi, Y.Q., Li, X., Zhang, X., et al.: Reversible data hiding: advances in the past two decades. IEEE Access 4, 3210–3237 (2016)
Tian, J.: Reversible data embedding using a difference expansion. IEEE Trans. Circ. Syst. Video Technol. 13(8), 890–896 (2003)
Thodi, D.M., Rodriguez, J.J.: Prediction-error based reversible watermarking. In: 2004 International Conference on Image Processing, ICIP 2004, vol. 3, pp. 1549–1552. IEEE (2004)
Fallahpour, M.: Reversible image data hiding based on gradient adjusted prediction. IEICE Electron. Expr. 5(20), 870–876 (2008)
Sachnev, V., Kim, H.J., Nam, J., et al.: Reversible watermarking algorithm using sorting and prediction. IEEE Trans. Circ. Syst. Video Technol. 19(7), 989–999 (2009)
Yang, C.H., Yang, M.H.: Improving histogram-based reversible data hiding by interleaving predictions. IET Image Proc. 4(4), 223–234 (2010)
Dragoi, I.C., Coltuc, D: Local-prediction-based difference expansion reversible watermarking. IEEE Trans. Image Process. 23(4), 1779 (2014). (A Publication of the IEEE Signal Processing Society)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Ma, B., Wang, X., Li, B., Shi, Y. (2018). A Multiple Linear Regression Based High-Performance Error Prediction Method for Reversible Data Hiding. In: Beyah, R., Chang, B., Li, Y., Zhu, S. (eds) Security and Privacy in Communication Networks. SecureComm 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 255. Springer, Cham. https://doi.org/10.1007/978-3-030-01704-0_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-01704-0_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01703-3
Online ISBN: 978-3-030-01704-0
eBook Packages: Computer ScienceComputer Science (R0)