Skip to main content
Log in

Reversible data hiding based compressible privacy preserving system for color image

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

In digital era, privacy preservation and data size reduction are important issues and many applications handle them simultaneously. In this paper, authors introduce a novel application of reversible data hiding to protect privacy sensitive region in a color image while reducing its file size. The proposed work introduces entropy as a new performance criterion along with distortion, capacity for reversible data hiding. Evaluation metric of the proposed method is a file size of watermarked and losslessly compressed image. The proposed method preserves privacy and controls rise in image entropy by reversible data hiding.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

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

    Article  MathSciNet  Google Scholar 

  2. Biham E, Shamir A (2012)

  3. Boult TE (2005) Pico: Privacy through invertible cryptographic obscuration. In: Computer Vision for Interactive and Intelligent Environment, 2005, IEEE, pp 27–38

  4. Chen YH, Huang HC, Lin CC (2016) Block-based reversible data hiding with multi-round estimation and difference alteration. Multimed Tools Appl 75(21):13,679–13,704

    Article  Google Scholar 

  5. Coltuc D (2011) Improved embedding for prediction-based reversible watermarking. IEEE Trans Inf Forensics Secur 6(3):873–882

    Article  Google Scholar 

  6. Daemen J, Rijmen V (2013) AES-the advanced encryption standard. Springer Science & Business Media, The design of Rijndael

  7. Qu DC, Pan JS, Weng SW, Xu SQ (2016) A novel reversible data hiding method for color images based on dynamic payload partition and cross-channel correlation. Journal of Information Hiding and Multimedia Signal Processing 7:1194–1205

  8. Dictionary-Cambridge (2017) Cambridge dictionaries online. http://dictionary.cambridge.org/

  9. Dragoi IC, Coltuc D (2014) Local-prediction-based difference expansion reversible watermarking. IEEE Trans Image Process 23(4):1779–1790

    Article  MathSciNet  MATH  Google Scholar 

  10. Dufaux F, Ebrahimi T (2008) H.264 / avc video scrambling for privacy protection. In: 15th IEEE international conference on image processing, IEEE, pp 1688–1691

  11. Dufaux F, Ebrahimi T (2010) A framework for the validation of privacy protection solutions in video surveillance. In: IEEE International conference on multimedia and expo (ICME), IEEE, pp 66–71

  12. Farrugia RA (2014) Reversible de-identification for lossless image compression using reversible watermarking. In: Information and communication technology, electronics and microelectronics (MIPRO), 2014 37th International convention on, IEEE, pp 1258–1263

  13. Huang HC, Fang WC (2011) Authenticity preservation with histogram-based reversible data hiding and quadtree concepts. Sensors 11(10):9717–9731

    Article  Google Scholar 

  14. Joshi MA, Raval MS, Dandawate YH, Joshi KR, Metkar SP (2014) Image and video compression: Fundamentals, Techniques, and Applications. CRC Press

  15. Kamstra L, Heijmans HJ (2005) Reversible data embedding into images using wavelet techniques and sorting. IEEE Trans Image Process 14(12):2082–2090

    Article  MathSciNet  Google Scholar 

  16. Knudsen LR (1998) Block ciphers a survey. In: State of the art in applied cryptography, Springer, pp 18–48

  17. Kuribayashi M, Morii M, Tanaka H (2008) Reversible watermark with large capacity based on the prediction error expansion. IEICE Trans Fundam Electron Commun Comput Sci 91(7):1780–1790

    Article  Google Scholar 

  18. Li J, Li X, Yang B (2013) Reversible data hiding scheme for color image based on prediction-error expansion and cross-channel correlation. Signal Process 93 (9):2748–2758

    Article  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  20. Li X, Zhang W, Gui X, Yang B (2015) Efficient reversible data hiding based on multiple histograms modification. IEEE Trans Inf Forensics Secur 10(9):2016–2027

    Article  Google Scholar 

  21. Liao X, Shu C (2015) Reversible data hiding in encrypted images based on absolute mean difference of multiple neighboring pixels. J Vis Commun Image Represent 28:21–27

    Article  Google Scholar 

  22. Liao X, Li K, Yin J (2016) Separable data hiding in encrypted image based on compressive sensing and discrete fourier transform. Multimed Tools Appl 76(20):20739–20753

  23. Lin CC, Tai WL, Chang CC (2008) Multilevel reversible data hiding based on histogram modification of difference images. Pattern Recogn 41(12):3582–3591

    Article  MATH  Google Scholar 

  24. Liu Y, Cui J, Zhao H, Zha H (2012) Fusion of low-and high-dimensional approaches by trackers sampling for generic human motion tracking. In: 21St international conference on pattern recognition (ICPR), IEEE, pp 898–901

  25. Liu Y, Liang Y, Liu S, Rosenblum DS, Zheng Y (2016) Predicting urban water quality with ubiquitous data. arXiv:161009462

  26. Liu Y, Zheng Y, Liang Y, Liu S, Rosenblum DS (2016) Urban water quality prediction based on multi-task multi-view learning. In: Proceedings of the International Joint Conference on Artificial Intelligence

  27. Nelson M, Gailly JL (1996) The data compression book, vol 2. M&T Books New York

  28. Niimi M, Masutani F, Noda H (2012) Protection of privacy in jpeg files using reversible information hiding. In: International symposium on intelligent signal processing and communications systems (ISPACS), IEEE, pp 441–446

  29. Ou B, Li X, Zhao Y, Ni R, Shi YQ (2013) Pairwise prediction-error expansion for efficient reversible data hiding. IEEE Trans Image Process 22(12):5010–5021

    Article  MathSciNet  MATH  Google Scholar 

  30. Ou B, Li X, Zhao Y, Ni R (2015) Efficient color image reversible data hiding based on channel-dependent payload partition and adaptive embedding. Signal Process 108:642–657

    Article  Google Scholar 

  31. Parmar C, Joshi M, Raval MS, Zaveri M (2011) Automatic image inpainting for the facial images of monuments. In: Proceedings of centenary conference-Electrical Engineering, IISC, pp 415–420

  32. Qin C, Chang C, Lee W, Zhang X (2013) A secure image delivery scheme with regional protection capability using image inpainting and editing. The Imaging Science Journal 61(6):509–517

    Article  Google Scholar 

  33. Sachnev V, Kim HJ, Nam J, Suresh S, Shi YQ (2009) Reversible watermarking algorithm using sorting and prediction. IEEE Trans Circuits Syst Video Technol 19(7):989–999

    Article  Google Scholar 

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

    Article  Google Scholar 

  35. Thodi DM, Rodriguez JJ (2004) Prediction-error based reversible watermarking. In: International conference on image processing ICIP, IEEE, vol 3, pp 1549–1552

  36. Tian J (2003) Reversible data embedding using a difference expansion. IEEE Trans Circuits Syst Video Technol 13(8):890–896

    Article  Google Scholar 

  37. Weber G (1993) Usc-sipi image database: Version 4. Dept Elect Eng-Syst, Univ Southern California, Los Angeles, CA, USA, Tech Rep 244, http://sipi.usc.edu/database/

  38. Westin A (1967) Privacy and freedom. NY, Atheneum

    Google Scholar 

  39. Wu HT, Dugelay JL, Shi Y Q (2015) Reversible image data hiding with contrast enhancement. IEEE Signal Process Lett 22(1):81–85

    Article  Google Scholar 

  40. Xia Z, Wang X, Zhang L, Qin Z, Sun X, Ren K (2016) A privacy-preserving and copy-deterrence content-based image retrieval scheme in cloud computing. IEEE Trans Inf Forensics Secur 11(11):2594–2608

    Article  Google Scholar 

  41. Yu J, Zhang B, Kuang Z, Lin D, Fan J (2017) iprivacy: image privacy protection by identifying sensitive objects via deep multi-task learning. IEEE Trans Inf Forensics Secur 12(5):1005–1016

  42. Zhang QY, Dou QY, Dong RH, Yan Y (2017) Robust reversible data hiding algorithm for color image based on 2d-dct. Journal of Information Hiding and Multimedia Signal Processing 8:392–403

    Google Scholar 

  43. Zhang W, Hu X, Li X, Yu N (2013) Recursive histogram modification: establishing equivalency between reversible data hiding and lossless data compression. IEEE Trans Image Process 22(7):2775–2785

    Article  Google Scholar 

  44. Zhang X (2011) Reversible data hiding in encrypted image. IEEE Signal Process Lett 18(4):255–258

    Article  Google Scholar 

  45. Zhang Y, Xiao D (2014) An image encryption scheme based on rotation matrix bit-level permutation and block diffusion. Commun Nonlinear Sci Numer Simul 19 (1):74–82

    Article  MATH  Google Scholar 

  46. Zhou Y, Bao L, Chen CP (2014) A new 1d chaotic system for image encryption. Signal Process 97:172–182

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vaibhav B. Joshi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Joshi, V.B., Raval, M.S. & Kuribayashi, M. Reversible data hiding based compressible privacy preserving system for color image. Multimed Tools Appl 77, 16597–16622 (2018). https://doi.org/10.1007/s11042-017-5230-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-017-5230-8

Keywords

Navigation