Abstract
This paper presents a reversible data hiding algorithm without intra-frame distortion drift based HEVC. We embed the secret information into the multivariate array of the 4 × 4 luminance DST blocks to avert the distortion drift. With the inverse operation of multivariate array in decoder, the embedded video is perfectly reconstructed as the original encoded video. Moreover, the entire process of embedding and extracting is very easy to operate. The superiority of the presented algorithm is verified through experiments.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Shaikh, S., Sayyad, S.: Data hiding in encrypted HEVC/AVC video streams. Int. J. Adv. Res. Comput. Commun. Eng. 5(8), 60–65 (2016)
Wang, J.-J., Wang, R.-D., Xu, D.-W., Li, W.: An information hiding algorithm for HEVC based on angle differences of intra prediction mode angle differences of intra prediction mode. J. Softw. 10(2), 213–221 (2015)
Kim, I., Min, J., Lee, T., Han, W., Park, J.: Block partitioning structure in the HEVC standard. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1697–1706 (2012)
Tew, Y., Wong, K.S., et al.: HEVC video authentication using data embedding technique. In: ICIP 2015, pp. 1265–1269 (2015)
Zhao, J., Li, Z.T., Feng, B.: A novel two-dimensional histogram modification for reversible data embedding into stereo H.264 video. Multimedia Tools Appl. (2015)
Zhao, J., Li, Z.T.: Three-dimensional histogram shifting for reversible data hiding. Multimedia Syst. (2016)
Chang, P.-C., Chung, K.-L., Chen, J.-J., Lin, C.-H.: An error propagation free data hiding algorithm in HEVC intra-coded frames. In: Signal & Information Processing Association Summit & Conference, pp. 1–9 (2013)
Chang, P.-C., Chung, K.-L., Chen, J.-J., Lin, C.-H., et al.: A DCT/DST-based error propagation-free data hiding algorithm for HEVC intra-coded frames. J. Vis. Commun. Image Represent. 25(2), 239–253 (2013)
Ma, X.J., Li, Z.T., Lv, J., Wang, W.D.: Data hiding in H.264/AVC streams with limited intra-frame distortion drift. In: Computer Network and Multimedia Technology, CNMT (2009)
Ma, X.J., Li, Z.T., Tu, H., Zhang, B.: A data hiding algorithm for H.264/AVC video streams without intra frame distortion drift. IEEE Trans. Circuits Syst. Video Technol. 20(10), 1320–1330 (2010)
Liu, Y.X., Li, Z.T., Ma, X.J.: Reversible data hiding scheme based on H.264/AVC without distortion drift. J. Syst. Softw. 7(5), 1059–1065 (2012)
Liu, Y.X., Li, Z.T., Ma, X.J., Liu, J.: A robust without intra-frame distortion drift data hiding algorithm based on H.264/AVC. Multimedia Tools Appl. (2013). (Springer)
Liu, Y.X., Li, Z.T., Ma, X.J., Liu, J.: A robust data hiding algorithm for H.264/AVC video streams. J. Syst. Softw. (2013). (Elsevier)
Liu, Y.X., Hu, M.S., Ma, X.J., Zhao, H.G.: A new robust data hiding method for H.264/AVC without intra-frame distortion drift. Neurocomputing 151, 1076–1085 (2014)
Liu, Y.X., Ju, L.M., Hu, M.S., Ma, X.J., Zhao, H.G.: A robust reversible data hiding scheme for H.264 without distortion drift. Neurocomputing 151, 1053–1062 (2014)
Liu, Y.X., Jia, S.M., Hu, M.S., et al.: A robust reversible data hiding scheme for H.264 based on secret sharing. In: ICIC 2014, pp. 553–559 (2014)
Liu, Y.X., Jia, S.M., Hu, M.S., Jia, Z.J., Chen, L., Zhao, H.G.: A reversible data hiding method for H.264 with Shamir’s (t, n)-threshold secret sharing. Neurocomputing (2014)
Acknowledgment
This paper is sponsored by the National Natural Science Foundation of China (NSFC, Grant 61572447).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Liu, S., Liu, Y., Feng, C., Zhao, H. (2017). A Reversible Data Hiding Method Based on HEVC Without Distortion Drift. In: Huang, DS., Hussain, A., Han, K., Gromiha, M. (eds) Intelligent Computing Methodologies. ICIC 2017. Lecture Notes in Computer Science(), vol 10363. Springer, Cham. https://doi.org/10.1007/978-3-319-63315-2_53
Download citation
DOI: https://doi.org/10.1007/978-3-319-63315-2_53
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-63314-5
Online ISBN: 978-3-319-63315-2
eBook Packages: Computer ScienceComputer Science (R0)