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Multimedia Tools and Applications

, Volume 77, Issue 20, pp 26711–26739 | Cite as

An improved reversible data hiding scheme using best neighboring coding based on color images

  • Lingfei WangEmail author
  • Zhibin PanEmail author
Article
  • 152 Downloads

Abstract

In this paper, an improved reversible data hiding (RDH) scheme, best neighboring coding (BNC), is proposed for vector quantization (VQ) compressed color images. As a result, it improves joint neighboring coding (JNC) based schemes, which take advantage of correlation between indices to embed secret bits (SB) and achieves good compression rate. As the correlation between RGB channels and the information of reference channel are employed, the best neighboring blocks of the other channels are obtained. The experimental results indicate that BNC enhances the prediction possibility of the best neighboring index by about 2.5 times compared to the conventional JNC method, which applies the current index and one of its four neighbor indices pointed by the secret data to generate the difference. Consequently, a more concentrated distribution of difference between current index and its neighboring index is obtained. After encoding this distribution generated by RGB channels, better compression rate and higher embedding efficiency are derived. Furthermore, extended experiments demonstrate that the proposed method outperforms other state-of-the-art RDH methods as well.

Keywords

Reversible data hiding (RDH) Vector quantization (VQ) Compression domain Color channels correlation Joint neighboring coding (JNC) Best neighboring coding (BNC) 

Notes

Acknowledgments

This work is supported in part by the Open Research Fund of Key Laboratory of Spectral Imaging Technology, Chinese Academy of Sciences (Grant No. LSIT201606D), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), the Open Project Program of the State Key Lab of Novel Software Technology (Grant No. KFKT2016B14), Nanjing University and the Industrial Program of Zhejiang Province (Grant No. 2016C31090).

References

  1. 1.
    Bentley J, Sleator D, Tarjan R, Wei V (1986) A locally adaptive data compression scheme. Commun ACM 29(4):320–330MathSciNetzbMATHGoogle Scholar
  2. 2.
    Chang CC, Lu TC (2006) A difference expansion oriented data hiding scheme for restoring the original host images. J Syst Softw 79(12):1754–1766Google Scholar
  3. 3.
    Chang CC, Kieu TD, Wu WC (2009) A lossless data embedding technique by joint neighboring coding. Pattern Recogn 42(7):1597–1603zbMATHGoogle Scholar
  4. 4.
    Chang CC, Nguyen TS, Lin CC (2011) A reversible data hiding scheme for VQ indices using locally adaptive coding. J Vis Commun Image Represent 22(7):664–672Google Scholar
  5. 5.
    Chang CC, Lin CY, Hsieh YP (2012) Data hiding for vector quantization images using mixed-base notation and dissimilar patterns without loss of fidelity. Inf Sci 201:70–79Google Scholar
  6. 6.
    Chang CC, Nguyen TS, Lin CC (2015) A reversible compression code hiding using SOC and SMVQ indices. Inf Sci 300:85–99Google Scholar
  7. 7.
    Chen X, Chen S, Wu Y (2017) Coverless information hiding method based on the chinese character encoding. J Internet Technol 18(2):313–320Google Scholar
  8. 8.
    Dragoi IC, Coltuc D (2014) Local-prediction-based difference expansion reversible watermarking. IEEE Trans Image Process 23(4):1779–1790MathSciNetzbMATHGoogle Scholar
  9. 9.
    Fridrich J, Goljan M, Du R (2002) Lossless data embedding-new paradigm in digital watermarking. Spec Issue Emerg Appl Multimed Data Hiding 2002(2):185–196zbMATHGoogle Scholar
  10. 10.
    Gray RM (1984) Vector quantization. IEEE ASSP Mag 1(2):4–29Google Scholar
  11. 11.
    Grewal SS, Priya (2016) Steganography in image: a review. Res Cell Int J Eng Sci 20:55–57Google Scholar
  12. 12.
    Khan A, Siddiqa A, Munib S, Malik SA (2014) A recent survey of reversible watermarking techniques. Inf Sci 279:251–272Google Scholar
  13. 13.
    Kieu TD, Ramroach S (2015) A reversible steganographic scheme for VQ indices based on joint neighboring coding. Expert Syst Appl 42(2):713–722Google Scholar
  14. 14.
    Kieu TD, Rubber A (2016) A reversible steganographic scheme for VQ indices based on joint neighboring and predictive coding. Multimed Tools Appl 75(21):13705–13731Google Scholar
  15. 15.
    Kim TJ (1992) Side match and overlap match vector quantizers for Images. IEEE Trans Image Process 1(2):170–185MathSciNetGoogle Scholar
  16. 16.
    Lee CF, Chen HL, Lai SH (2010) An adaptive data hiding scheme with high embedding capacity and visual image quality based on SMVQ prediction through classification codebooks. Image Vis Comput 28(8):1293–1302Google Scholar
  17. 17.
    Lee JD, Chiou YH, Guo JM (2010) Reversible data hiding based on histogram modification of SMVQ indices. IEEE Trans Inf Forensics Secur 5(4):638–648Google Scholar
  18. 18.
    Lee JD, Chiou YH, Guo JM (2013) Lossless data hiding for VQ indices based on neighboring correlation. Inf Sci 221:419–438Google Scholar
  19. 19.
    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):2748–2758Google Scholar
  20. 20.
    Li X, Li B, Yang B, Zeng T (2013) General framework to histogram shifting-based reversible data hiding. IEEE Trans Image Process 22(6):2181–2191MathSciNetzbMATHGoogle Scholar
  21. 21.
    Li X, Zhang W, Ou B, Yang B (2014) A brief review on reversible data hiding: current techniques and future prospects. Second IEEE China Summit/International Conference on Signal and Information Processing (IEEE ChinaSIP), pp 426–430Google Scholar
  22. 22.
    Lin CC, Liu XL, Yuan SM (2015) Reversible data hiding for VQ-compressed images based on search-order coding and state-codebook mapping. Inf Sci 293:170–180Google Scholar
  23. 23.
    Linde Y, Buzo A, Gray R (1980) Algorithm for vector quantizer design. IEEE Trans Commun 28(1):84–95Google Scholar
  24. 24.
    Liu L, Wang L, Chang CC (2017) A semantic compression scheme for digital images based on vector quantization and data hiding. Multimed Tools Appl 76(20):20833–20846Google Scholar
  25. 25.
    Ma X, Pan Z, Hu S, Wang L (2015) New high-performance reversible data hiding method for VQ indices based on improved locally adaptive coding scheme. J Vis Commun Image Represent 30:191–200Google Scholar
  26. 26.
    Mielikainen J (2006) LSB matching revisited. IEEE Signal Process Lett 13(5):285–287Google Scholar
  27. 27.
    Nguyen TS, Chang CC, Lin MC (2014) Adaptive lossless data-hiding and compression scheme for SMVQ indices using SOC. Smart Comput Rev 4(3):230-245Google Scholar
  28. 28.
    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 108:642–657Google Scholar
  29. 29.
    Pan Z, Hu S, Ma X, Wang L (2015) A new lossless data hiding method based on joint neighboring coding. J Vis Commun Image Represent 26:14–23Google Scholar
  30. 30.
    Pan Z, Ma X, Deng X (2015) New reversible full-embeddable information hiding method for vector quantization indices based on locally adaptive complete coding list. IET Image Process 9(1):22–30Google Scholar
  31. 31.
    Qin C, Hu YC (2016) Reversible data hiding in VQ index table with lossless coding and adaptive switching mechanism. Signal Process 129:48–55Google Scholar
  32. 32.
    Qin C, Chang CC, Chiu YP (2014) A novel joint data-hiding and compression scheme based on SMVQ and image in painting. IEEE Trans Image Process 23(3):969–978MathSciNetzbMATHGoogle Scholar
  33. 33.
    Shie SC, Jiang JH (2012) Reversible and high-payload image steganographic scheme based on side-match vector quantization. Signal Process 92(9):2332–2338Google Scholar
  34. 34.
    Wang JX, Lu ZM (2009) A path optional lossless data hiding scheme based on VQ joint neighboring coding. Inf Sci 179(19):3332–3348Google Scholar
  35. 35.
    Wang WJ, Huang CT, Wang SJ (2011) VQ applications in steganographic data hiding upon multimedia images. IEEE Syst J 5(4):528–537Google Scholar
  36. 36.
    Wang SY, Lin CY, Kuo WC (2013) Reversible data hiding based on two-dimensional prediction errors. IET Image Process 7(9):805–816Google Scholar
  37. 37.
    Wang WJ, Huang CT, Liu CM, Su PC, Wang SJ (2013) Data embedding for vector quantization image processing on the basis of adjoining state-codebook mapping. Inf Sci 246:69–82MathSciNetGoogle Scholar
  38. 38.
    Wang L, Pan Z, Ma X, Hu S (2014) A novel high-performance reversible data hiding scheme using SMVQ and improved locally adaptive coding method. J Vis Commun Image Represent 25(2):454–465Google Scholar
  39. 39.
    Wang J, Lian S, Shi Y (2017) Hybrid multiplicative multi-watermarking in DWT domain. Multidim Syst Sign Process 28(2):617–636zbMATHGoogle Scholar
  40. 40.
    Wang L, Pan Z, Zhu R (2017) A novel reversible data hiding scheme by introducing current state codebook and prediction strategy for joint neighboring coding. Multimed Tools Appl 76(24):26153–26176Google Scholar
  41. 41.
    Wright M (2001) The advanced encryption standard. Netw Secur 10:11–13Google Scholar
  42. 42.
    Xiong L, Xu Z, Yun-Qing S. An integer wavelet transform based scheme for reversible data hiding in encrypted images. Multidim Syst Sign Process 29(3):1191–1202MathSciNetGoogle Scholar
  43. 43.
    Xuan G, Shi Y, Ni Z, Chen J, Yang C, Zhen Y, Zheng J (2004) High capacity lossless data hiding based on integer wavelet transform. IEEE Int Symp Circuits Syst 2:29–32Google Scholar
  44. 44.
    Yang CH, Lin YC (2009) Reversible data hiding of a VQ index table based on referred counts. J Vis Commun Image Represent 20(9):399–407Google Scholar
  45. 45.
    Zhang X, Wang S (2006) Efficient stenographic embedding by exploiting modification direction. IEEE Commun Lett 10(11):1–3Google Scholar
  46. 46.
    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):2775–2785Google Scholar
  47. 47.
    Zhou X, Lai D, Yuan S, Li DH, Hu JP (2007) A method for hiding information utilizing double-random phase-encoding technique. Opt Laser Technol 39(7):1360–1363Google Scholar
  48. 48.
    Zhou Z, Yang C, Chen B, Sun X, Liu Q, Wu Q (2016) Effective and efficient image copy detection with resistance to arbitrary rotation. IEICE Trans Inf Syst E99-D(6):1531–1540Google Scholar
  49. 49.
    Zhou Z, Wang Y, Wu Q, Yang C, Sun X (2017) Effective and efficient global context verification for image copy detection. IEEE Trans Inf Forensics Secur 12(1):48–63Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’anPeople’s Republic of China
  2. 2.State Key Laboratory for Novel Software TechnologyNanjing UniversityNanjingPeople’s Republic of China

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