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Improved Reversible Data Hiding in JPEG Images Based on Interval Correlation

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Advances in Brain Inspired Cognitive Systems (BICS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10989))

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Abstract

The redundancy of JPEG images is lower than that of non-compressed images, so any modification will greatly reduce the visual effect and produce file expansion. In this paper, a new RDH algorithm for JPEG images based on interval correlation is proposed. Through the quantization of DCT, the secret message is embedded into a continuous interval with large correlation and low distortion by using histogram shifting (HS). Experimental result shows that the proposed algorithm has better peak signal noise ratio (PSNR) and file expansion than the state-of-the-art HS algorithms for JPEG.

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References

  1. Barton, J.M.: Method and apparatus for embedding authentication information within digital data. U.S. Patent 5646997 (1997)

    Google Scholar 

  2. Fridrich, J., Goljan, M., Du, R.: Lossless data embedding for all image formats. In: Proceedings of SPIE, pp. 572–583 (2002)

    Google Scholar 

  3. Celik, M.U., Sharma, G., Tekalp, A.M., Saber, E.: Lossless generalized-LSB data embedding. IEEE Trans. Image Process. 14(2), 253–266 (2005)

    Article  Google Scholar 

  4. Alattar, A.M.: Reversible watermark using the difference expansion of a generalized integer transform. IEEE Trans. Image Process. 13(8), 1147–1156 (2004)

    Article  MathSciNet  Google Scholar 

  5. Thodi, D.M., Rodriguez, J.J.: Expansion embedding techniques for reversible watermarking. IEEE Trans. Image Process. 16(3), 721–730 (2007)

    Article  MathSciNet  Google Scholar 

  6. Lee, S.-K., Suh, Y.-H., Ho, Y.-S.: Reversible image authentication based on watermarking. In: Proceedings of the IEEE International Conference on Multimedia and Expo, pp. 1321–1324 (2006)

    Google Scholar 

  7. Hong, W., Chen, T.-S., Shiu, C.-W.: Reversible data hiding for high quality images using modification of prediction errors. J. Syst. Softw. 82(11), 1833–1842 (2009)

    Article  Google Scholar 

  8. Li, X., Li, B., Yang, B., Zeng, T.: General framework to histogram-shifting-based reversible data hiding. IEEE Trans. Image Process. 22(6), 2181–2191 (2013)

    Article  MathSciNet  Google Scholar 

  9. Mobasseri, B.G., Berger, R.J., Marcinak, M.P., NaikRaikar, Y.J.: Data embedding in JPEG bitstream by code mapping. IEEE Trans. Image Process. 19(4), 958–966 (2010)

    Article  MathSciNet  Google Scholar 

  10. Qian, Z., Zhang, X.: Lossless data hiding in JPEG bitstream. J. Syst. Softw. 85(2), 309–313 (2012)

    Article  Google Scholar 

  11. Hu, Y., Wang, K., Lu, Z.M.: An improved VLC-based lossless data hiding scheme for JPEG images. J. Syst. Softw. 86(8), 2166–2173 (2013)

    Article  Google Scholar 

  12. Chang, C.C., Lin, C.C., Tseng, C.S., Tai, W.L.: Reversible hiding in DCT-based compressed images. Inf. Sci. 177(13), 2768–2786 (2007)

    Article  Google Scholar 

  13. Sakai, H., Kuribayashi, M., Morii, M.: Adaptive reversible data hiding for JPEG images. In: Proceedings of the International Symposium on Information Theory and Its Applications, pp. 1–6 (2008)

    Google Scholar 

  14. Zhang, X., Wang, S., Qian, Z.: Reversible fragile watermarking for locating tampered blocks in JPEG images. Signal Process. 90(12), 3026–3036 (2010)

    Article  Google Scholar 

  15. Efimushkina, T., Egiazarian, K., Gabbouj, M.: Rate-distortion based reversible watermarking for JPEG images with quality factors selection. In: Proceedings of the 4th European Workshop on Visual Information Processing, pp. 94–99 (2013)

    Google Scholar 

  16. 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 

  17. Wedaj, F.T., Kim, S., Kim, H.J., Huang, F.: Improved reversible data hiding in JPEG images based on new coefficient selection strategy. EURASIP J. Image Video Process. 2017(1), 63 (2017)

    Article  Google Scholar 

  18. CVG-UGR database. http://decsai.ugr.es/cvg/dbimagenes/g512.php. Accessed May 2018

  19. USC-SIPI database. http://sipi.usc.edu/database/. Accessed May 2018

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Author information

Authors and Affiliations

  1. Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei, 230601, People’s Republic of China

    Zhigao Hong, Zhaoxia Yin & Bin Luo

  2. School of Communication and Information Engineering, Shanghai University, Shanghai, 200072, People’s Republic of China

    Zhaoxia Yin

Authors
  1. Zhigao Hong
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  2. Zhaoxia Yin
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  3. Bin Luo
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Corresponding author

Correspondence to Zhaoxia Yin .

Editor information

Editors and Affiliations

  1. University of Strathclyde, Glasgow, UK

    Jinchang Ren

  2. Edinburgh Napier University, Edinburgh, UK

    Amir Hussain

  3. Northwestern Polytechnical University, Xi’an, China

    Jiangbin Zheng

  4. Chinese Academy of Sciences, Beijing, China

    Cheng-Lin Liu

  5. Anhui University, Hefei, China

    Bin Luo

  6. Guangdong Polytechnic Normal University, Guangzhou, China

    Huimin Zhao

  7. Northwestern Polytechnical University, Xi’an, China

    Xinbo Zhao

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Hong, Z., Yin, Z., Luo, B. (2018). Improved Reversible Data Hiding in JPEG Images Based on Interval Correlation. In: Ren, J., et al. Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science(), vol 10989. Springer, Cham. https://doi.org/10.1007/978-3-030-00563-4_67

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  • DOI: https://doi.org/10.1007/978-3-030-00563-4_67

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00562-7

  • Online ISBN: 978-3-030-00563-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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