Abstract
The paper proposes an iterative approach based reversible data hiding with weight update used for dual stego images. Proposed method initially estimates the error between the adjacent pixels from which the embedding strength \(\propto \) is estimated. Proposed method then estimates a weight using the error and the data to be hidden. This weight is updated iteratively by using the subsequent data. Further, to improve the security, the random binary sequence is mixed with the weight. To acquire the two stego images, the weight is entrenched on the original image pixels. In the extraction phase, the data is extracted in a reverse order of embedding, where the inverse weight updation is performed, from which the data is extracted. By averaging the two stego images, the original image can be restored. According to the results of the experimental study, the proposed scheme for embedding data on dual stego images outperforms recent data hiding algorithms in terms of embedding rate and visual efficiency.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Lu, T., Chang, T., Shen, J.: An Effective Maximum Distortion Controlling Technology in the Dual-image-based Reversible Data Hiding Scheme (2020). https://doi.org/10.1109/ACCESS.2020.2994244
Yao, H., Mao, F., Tang, Z., Qin, C.: High-fidelity dual-image reversible data hiding via prediction-error shift. Signal Process. 170, 107447 (2020). https://doi.org/10.1016/j.sigpro.2019.107447
Chang, C.-C., Kieu, T.D., Chou, Y.-C.: Reversible data hiding scheme using two steganographic images. TENCON 2007 - 2007 IEEE Reg. 10 Conference, pp. 1–4 (2007). https://doi.org/10.1109/TENCON.2007.4483783
Chang, C.C., Lu, T.C., Horng, G., Huang, Y.H., Hsu, Y.M.: A high payload data embedding scheme using dual stego-images with reversibility. In: ICICS 2013 - Conference Guid. 9th International Conference on Information, Communication and Signal Processing, pp. 1–5 (2013). https://doi.org/10.1109/ICICS.2013.6782790.
Kim, P., Ryu, K., Jung, K.: Reversible data hiding scheme based on pixel-value differencing in dual images 16 (2020). https://doi.org/10.1177/1550147720911006
Nikolaidis, A.: Reversible data hiding in JPEG images utilising zero quantised coefficients 9, 560–568 (2015). https://doi.org/10.1049/iet-ipr.2014.0689
Shastri, S., Thanikaiselvan, V.: Dual image reversible data hiding using trinary assignment and centre folding strategy with low distortion. J. Vis. Commun. Image Represent. 61, 130–140 (2019). https://doi.org/10.1016/j.jvcir.2019.03.022
Qin, C., Chang, C.-C., Hsu, T.-J.: Reversible data hiding scheme based on exploiting modification direction with two steganographic images. Multimed. Tools Appl. 74(15), 5861–5872 (2014). https://doi.org/10.1007/s11042-014-1894-5
Luo, W., Huang, F., Huang, J.: Edge adaptive image steganography based on LSB matching revisited 5, 201–214 (2010)
Tsai, P., Hu, Y.C., Yeh, H.L.: Reversible image hiding scheme using predictive coding and histogram shifting. Signal Process. 89, 1129–1143 (2009). https://doi.org/10.1016/j.sigpro.2008.12.017
Hong, W., Chen, M., Chen, T.S.: An efficient reversible image authentication method using improved PVO and LSB substitution techniques. Signal Process. Image Commun. (2017). https://doi.org/10.1016/j.image.2017.07.001
Lu, T.C., Tseng, C.Y., Wu, J.H.: Dual imaging-based reversible hiding technique using LSB matching. Signal Process. 108, 77–89 (2015). https://doi.org/10.1016/j.sigpro.2014.08.022
Li, X., Li, J., Li, B., Yang, B.: High-fidelity reversible data hiding scheme based on pixel-value-ordering and prediction-error expansion. Signal Process. 93, 198–205 (2013). https://doi.org/10.1016/j.sigpro.2012.07.025
Zhang, X., Wang, S.: Efficient steganographic embedding by exploiting modification direction 10, 781–783 (2006)
Yao, H., Qin, C., Tang, Z., Zhang, X.: A general framework for shiftable position-based dual-image reversible data hiding. EURASIP J. Image Video Process. 41 (2018). https://doi.org/10.1186/s13640-018-0281-y
Hu, Y., Lee, H.K., Li, J.: DE-based reversible data hiding with improved overflow location map. IEEE Trans. Circuits Syst. Video Technol. 19, 250–260 (2009). https://doi.org/10.1109/TCSVT.2008.2009252
Chi, L.-P., Wu, C.-H., Chang, H.-P.: Reversible data hiding in dual Stegano-image using an improved center folding strategy. Multimed. Tools Appl. 77(7), 8785–8803 (2017). https://doi.org/10.1007/s11042-017-4774-y
Weng, S., Pan, J., Li, L., Zhou, L.: Reversible data hiding based on an adaptive pixel-embedding strategy and two-layer embedding. Inf. Sci. (Ny). (2016). https://doi.org/10.1016/j.ins.2016.05.030
Li, M., Li, Y.: Histogram shifting in encrypted images with public key cryptosystem for reversible data hiding. Signal Process. (2016). https://doi.org/10.1016/j.sigpro.2016.07.002
Li, X., Zhang, W., Gui, X., Yang, B.: Efficient reversible data hiding based on Multiple Histograms Modification 10, 2016–2027 (2016)
Lo, C., Hu, Y.: A novel reversible image authentication scheme for digital images. Signal Process. 98, 174–185 (2014). https://doi.org/10.1016/j.sigpro.2013.11.028
Tyagi, V.: Understanding Digital Image Processing. CRC Press, Boca Raton (2018). https://doi.org/10.1201/9781315123905.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Shaji, C., Sam, I.S. (2021). An Iterative Approach Based Reversible Data Hiding with Weight Update for Dual Stego Images. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T., Sonawane, V.R. (eds) Advances in Computing and Data Sciences. ICACDS 2021. Communications in Computer and Information Science, vol 1441. Springer, Cham. https://doi.org/10.1007/978-3-030-88244-0_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-88244-0_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-88243-3
Online ISBN: 978-3-030-88244-0
eBook Packages: Computer ScienceComputer Science (R0)