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High Capacity Data Hiding Based on AMBTC and Interpolation

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Security with Intelligent Computing and Big-data Services (SICBS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 895))

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Abstract

Absolute Moment Block Truncation Coding (AMBTC) is a compression method with low complexity and simple computation to easily compress a block. Various AMBTC-like methods have been proposed for develo** data hiding schemes. All the existing techniques demonstrated steady performance. To further improve performance, in this paper, we present a method to extend the cover image using the neighbor mean interpolation (NMI) method, and improve data hiding performance based on this extended cover image and AMBTC. Experimental results show that our framework is superior in terms of existing BTC-based data hiding function and concealment efficiency.

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References

  1. Bender, W., Gruhl, D., Morimoto, N., Lu, A.: Techniques for data hiding. IBM Syst. J. 35(3.4), 313–336 (1996)

    Article  Google Scholar 

  2. Yang, C.N., Hsu, S.C., Kim, C.: Improving stego image quality in image interpolation based data hiding. Comput. Stand. Interfaces 50, 209–215 (2017)

    Article  Google Scholar 

  3. Kim, C., Shin, D., Yang, C.N., Chou, Y.S.: Improving capacity of Hamming (n, k)+1 stego-code by using optimized Hamming+k. Digit. Signal Process. 78, 284–293 (2018)

    Article  Google Scholar 

  4. 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 

  5. Huang, F., Qu, X., Kim, H.J., Huang, J.: Reversible data hiding in JPEG images. IEEE Trans. Circuits Syst. Video Technol. 26(9), 1610–1621 (2016)

    Article  Google Scholar 

  6. Mielikainen, J.: LSB matching revisited. IEEE Signal Process. Lett. 13, 285–287 (2006)

    Article  Google Scholar 

  7. Chan, C.K., Cheng, L.M.: Hiding data in images by simple LSB substitution. Pattern Recognit. 37(3), 469–474 (2004)

    Article  Google Scholar 

  8. Chang, C.C., Lin, C.C., Tseng, C.S., Tai, W.L.: Reversible hiding in DCT-based compressed images. Inf. Sci. 177, 2768–2786 (2007)

    Article  Google Scholar 

  9. Chang, C.C., Chen, T.S., Chung, L.Z.: A steganographic method based upon JPEG and quantization table modification. Inf. Sci. 141, 123–138 (2002)

    Article  Google Scholar 

  10. Bergman, C., Davidson, J.: Unitary embedding for data hiding with the SVD. In: Proceedings of the SPIE, Security, Steganography, and Watermarking of Multimedia Contents VII, vol. 5681, 21 March 2005. https://doi.org/10.1117/12.587796

  11. Delp, E.J., Mitchell, O.R.: Image compression using block truncation coding. IEEE Trans. Commun. 27(9), 1335–1342 (1979)

    Article  Google Scholar 

  12. Hong, W., Chen, T.S., Shiu, C.W.: Lossless steganography for AMBTC compressed images. In: Proceedings of 1st International Congress on Image and Signal Processing, Sanya, China, vol. 2, pp. 13–17 (2008)

    Google Scholar 

  13. Chuang, J.C., Chang, C.C.: Using a simple and fast image compression algorithm to hide secret information. Int. J. Comput. Appl. 28(4), 329–333 (2006)

    Google Scholar 

  14. Chen, J., Hong, W., Chen, T.S., Shiu, C.W.: Steganography for BTC compressed images using no distortion technique. Imaging Sci. J. 58, 177–185 (2010)

    Article  Google Scholar 

  15. Hong, W., Chen, J., Chen, T.S., Shiu, C.W.: Steganography for block truncation coding compressed images using hybrid embedding scheme. Int. J. Innov. Comput. Inf. Control 7, 733–743 (2011)

    Google Scholar 

  16. Ou, D., Sun, W.: High payload image steganography with minimum distortion based on absolute moment block truncation coding. Multimed. Tools Appl. 74, 9117–9139 (2015)

    Article  Google Scholar 

  17. Huang, Y.H., Chang, C.C., Chen, Y.H.: Hybrid secret hiding schemes based on absolute moment block truncation coding. Multimed. Tools Appl. 76, 6159–6174 (2017)

    Article  Google Scholar 

  18. Hong, W.: Efficient data hiding based on block truncation coding using pixel pair matching technique. Symmetry 10(2), 1–18 (2018)

    Article  MathSciNet  Google Scholar 

  19. Hong, W., Chen, T.S.: A novel data embedding method using adaptive pixel pair matching. IEEE Trans. Inf. Forensics Secur. 7, 176–184 (2012)

    Article  Google Scholar 

  20. Jung, K.H., Yoo, K.Y.: Data hiding method using image interpolation. Comput. Stand. Interfaces 31(2), 465–470 (2009)

    Article  Google Scholar 

  21. Image database ref. http://sipi.usc.edu/database/database.php?volume=misc. Accessed 31 May 2018

  22. Bai, J., Chang, C.C.: A high payload steganographic scheme for compressed images with hamming code. Int. J. Netw. Secur. 18, 1122–1129 (2016)

    Google Scholar 

Download references

Acknowledgments

This research was supported in part by Ministry of Science and Technology (MOST), under Grant 107-2221-E-259-007-. This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2018R1D1A1B07047395), National Research Foundation of Korea (NRF) funded by (2015R1D1A1A01059253), and was supported under the framework of international cooperation program managed by NRF (2016K2A9A2A05005255).

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Authors and Affiliations

  1. Department of Computer Engineering, Sejong University, Seoul, 05006, Republic of South Korea

    Cheonshik Kim & Dongkyoo Shin

  2. Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, 97401, Taiwan, R.O.C.

    Ching-Nung Yang

Authors
  1. Cheonshik Kim
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  2. Dongkyoo Shin
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  3. Ching-Nung Yang
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Corresponding author

Correspondence to Cheonshik Kim .

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Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan

    Ching-Nung Yang

  2. Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan

    Sheng-Lung Peng

  3. University of Canberra, Canberra, ACT, Australia

    Lakhmi C. Jain

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Kim, C., Shin, D., Yang, CN. (2020). High Capacity Data Hiding Based on AMBTC and Interpolation. In: Yang, CN., Peng, SL., Jain, L. (eds) Security with Intelligent Computing and Big-data Services. SICBS 2018. Advances in Intelligent Systems and Computing, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-030-16946-6_70

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