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Link to original content: https://doi.org/10.1007/978-3-030-14657-3_47
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Robust Lossless Data Hiding Using Chaotic Sequence and Statistical Quantity Histogram

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IoT as a Service (IoTaaS 2018)

Abstract

In order to solve the security problem of robust lossless data hiding, A method to cover up detectable traces is proposed based on chaotic sequence and statistical quantity histogram. The proposed method divides a original image into non-overlapping blocks and selects a smaller block in each block by using chaotic sequence. Then calculates the statistical quantity of each selected block as a robust parameter and shifts it by appropriate thresholds. Finally, secret information can be hidden into blocks by modifying robust parameter values. With our proposed method, the embedding trace of secret information is concealed. Experimental results show that the proposed method can achieve high performances in security, robustness and visual quality.

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References

  1. Dragoi, I.C., Coltuc, D.: Reversible data hiding in encrypted images based on reserving room after encryption and multiple predictors. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Calgary, AB, Canada, pp. 2102–2105 (2018)

    Google Scholar 

  2. Lee, C.-F., Shen, J.J., Lai, Y.H.: Data hiding using multi-pixel difference expansion. In: 2018 3rd International Conference on Computer and Communication Systems, ICCCS, Nagoya, Japan, pp. 56–60 (2018)

    Google Scholar 

  3. Wang, W., Ye, J., Wang, T., Wang, W.: Reversible data hiding scheme based on significant-bit-difference expansion. IET Image Process. 11, 1002–1014 (2017)

    Article  Google Scholar 

  4. Yi, S., Zhou, Y.: Adaptive code embedding for reversible data hiding in encrypted images. In: 2017 IEEE International Conference on Image Processing, ICIP, Beijing, China, pp. 4322–4326 (2017)

    Google Scholar 

  5. Shi, Y.-Q., Li, X., Zhang, X., Wu, H.-T., Ma, B.: Reversible data hiding: advances in the past two decades. IEEE Access 4, 3210–3237 (2016)

    Article  Google Scholar 

  6. Singh, A., Dutta, M.K.: Lossless and robust digital watermarking scheme for retinal images. In: 2018 4th International Conference on Computational Intelligence & Communication Technology, CICT, Ghaziabad, India, pp. 1–5 (2018)

    Google Scholar 

  7. Choi, K.-C., Pun, C.-M.: Difference expansion based robust reversible watermarking with region filtering. In: 2016 13th International Conference on Computer Graphics, Imaging and Visualization, CGiV, Beni Mellal, Morocco, pp. 278–282 (2016)

    Google Scholar 

  8. Zeng, X.-T., Ping, L.-D., Pan, X.-Z.: A lossless robust data hiding scheme. Pattern Recogn. 43, 1656–1667 (2010)

    Article  Google Scholar 

  9. Zeng, X.-T., Pan, X.-Z., Ping, L.-D., et al.: Robust lossless data hiding scheme. J. Zhejiang Univ.-SCIENCE C (Comput. Electron.) 11(2), 101–110 (2010)

    Article  Google Scholar 

  10. Yang, Q.T., Gao, T.G., Fan, L.: Lossless robust data hiding scheme based on histogram shifting. In: Hu, W. (ed.) Electronics and Signal Processing. LNEE, vol. 97, pp. 937–944. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21697-8_120

    Chapter  Google Scholar 

  11. An, L., Gao, X., Yuan, Y.: Robust lossless data hiding using clustering and statistical quantity histogram. Neurocomputing 77, 1–11 (2012)

    Article  Google Scholar 

  12. CVG-UGR Image Database. http://decsai.ugr.es/cvg/dbimagenes/index.php

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Correspondence to Xiaobo Li .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Li, X., Zhang, J., Zhou, Q. (2019). Robust Lossless Data Hiding Using Chaotic Sequence and Statistical Quantity Histogram. In: Li, B., Yang, M., Yuan, H., Yan, Z. (eds) IoT as a Service. IoTaaS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-14657-3_47

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  • DOI: https://doi.org/10.1007/978-3-030-14657-3_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14656-6

  • Online ISBN: 978-3-030-14657-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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