Please use this identifier to cite or link to this item:
A Study of Adaptive Prediction-Based Reversible Information Hiding Using Adjacent Pixel and Difference Expansion
Reversible information hiding
Adaptive information hiding
Difference expansion (DE)
Prediction error (PE)
|引用:|| A. Cheddad, J. Condell, K. Curran and P. M. Kevitt, “Digital image steganography: Survey and analysis of current methods Review Article,” Signal Processing, Vol. 90, No. 3, Mar. 2010, pp. 727-752.  A. M. Alattar, “Reversible watermark using the difference expansion of a generalized integer transform image processing,” IEEE Transactions on Image Processing, Vol. 13, No. 8, Aug. 2004, pp. 1147–1156.  B. Yang, Z. M. Lu and S. H. Sun, “Reversible watermarking in the VQ-compressed domain,” In: Proceedings of the Fifth IASTED International Conference on Visualization, Imaging, and Image Processing, Benidorm, Spain, Sep. 2005, pp. 298–303.  C. C. Chang and C. Y. Lin, “Reversible steganography for VQ-compressed images using side matching and relocation,” IEEE Transactions Information Forensics Security, Vol. 1, No. 4, Dec. 2006, pp. 493–501.  C. C. Chang, G. M. Chen and M. H. Lin, “Information hiding based on search-order coding for VQ indices,” Pattern Recognition Letters, Vol. 25, No.11, Aug . 2004, pp. 1253–1261.  C. C. Chang, W. L. Tai and C. C. Lin, “A reversible data hiding scheme based on side match vector quantization, ”IEEE Transactions Circuits and Systems for Video Technology, Vol. 16, No. 10, Oct. 2006, pp. 1301–1308.  C. C. Chang, Y. H. Huang, H. Y. Tsai and C. Qin, “Prediction-based reversible data hiding using the difference of neighboring pixels,” International Journal of Electronics and Communications, Vol. 66, No. 9, Sep. 2012, pp. 758–766.  C. C. Chen and C. C. Chang, “High capacity SMVQ-based hiding scheme using adaptive index,” Signal Processing, Vol. 90, No. 7, Jul. 2010, pp. 2141–2149.  C. F. Lee and H. L. Chen, “A novel data hiding scheme based on modulus function,” Journal of Systems and Software, Vol. 83, No. 5, May 2010, pp. 832–843.  C. F. Lee and H. L. Chen, “Adjustable prediction-based reversible data hiding,” Digital Signal Processing, Vol. 22, No. 6, Dec. 2012, pp. 941–953.  C. K. Chan and L. M. Cheng, “Hiding data in images by simple LSB substitution,” Pattern Recognition, Vol. 37, No. 3, Mar. 2004, pp. 469–474.  F. A. P. Petitcolas, R. J. Anderson and M. G. Kuhn, “Information hiding - a survey,” Proceedings of the IEEE, Vol. 87, No. 7, Jul. 1999, pp. 1062-1078.  F. Peng, X. Li and B. Yang, “Adaptive reversible data hiding scheme based on integer transform,” Signal Processing, Vol. 92, No. 1, Jan. 2012, pp. 54–62.  H. Wien and T. S. Chen, “A novel data embedding method using adaptive pixel pair matching, ”IEEE Transactions on Information Forensics and Security, Vol. 7, No. 1, Feb. 2012, pp. 176–184.  J. Mielikainen, “LSB matching revisited,” IEEE Signal Processing Letters, Vol. 13, No. 5, May 2006, pp. 285–287.  J. Tian, “Reversible data embedding using a difference expansion,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 13, No. 8, Aug. 2003, pp. 890–896.  K. S. Kim, M. J. Lee, H. Y. Lee and H. K. Lee, “Reversible data hiding exploiting spatial correlation between sub-sampled images,” Pattern Recognition, Vol. 42, No. 11, Nov. 2009, pp. 3083–3096.  P. Tsai, Y. C. Hub and H. L. Yeh, “Reversible image hiding scheme using predictive coding and histogram shifting,” Signal Processing, Vol. 89, No. 6, June 2009, pp. 1129–1143.  W. Hong and T. S. Chen, “A local variance-controlled reversible data hiding method using prediction and histogram-shifting,” The Journal of Systems and Software, Vol. 83, No. 12, Dec. 2011, pp. 2653-2663.  W. Hong and T. S. Chen, “Reversible data embedding for high quality images using interpolation and reference pixel distribution mechanism,” Journal of Visual Communication and Image Representation, Vol. 22, No. 2, Feb. 2011, pp. 131-140.  W. Hong, T. S. Chen, Y. P. Chang and C. W. Shiud, “A high capacity reversible data hiding scheme using orthogonal projection and prediction error modification,” Signal Processing, Vol. 90, No. 11, Nov. 2011, pp. 2911-2922.  W. L. Tai, C. M. Yeh and C. C. Chang, “Reversible data hiding based on histogram modification of pixel differences,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 19, No. 6, June 2009, pp. 906–910.  X. T. Zeng, L. D. Ping and X. Z. Pan, “A lossless robust data hiding scheme,” Pattern Recognition, Vol. 43, No. 4, Apr. 2010, pp. 1656–1667.  X. Zhang and S. Wang, “Efficient steganographic embedding by exploiting modification direction,” IEEE Communications Letters, Vol. 10, No. 11, Nov. 2006, pp. 781–783.  Z. Ni, Y. Q. Shi, N. Ansari and W. Su, “Reversible data hiding,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 16, No. 3, Mar. 2006, pp. 354–361.  Z. Zhao, H. Luo, Z. M. Lu and J. S. Pan, “Reversible data hiding based on multilevel histogram modification and sequential recovery,” International Journal of Electronics and Communications, Vol. 65, No. 10, Jan. 2011, pp. 814-826.|
Because of the information communication technique and the Internet grow quickly, people communicate with each other by Internet nowadays. However convenient communication is not safe enough for us. There are many hackers want to steal information from our communications so information security is much more important than before. How to ensure the safety of our communications becomes a very important issue. That’s why we study about information security technique. In this thesis, a study of prediction-based adaptive information hiding techniques is proposed. The proposed scheme utilizes adjacent pixels to predict spatial correlations, The classified pixels and modified prediction error (PE) can handle that diversity of digital images, such as smooth image, complex image, brighter image and darker image, and then achieves the purpose of confidential communication and information security. This thesis presents a prediction-based adaptive reversible information hiding scheme using adjacent pixels and difference expansion. The proposed scheme identifies the types of the cover pixels by adjacent pixels and depends on the types to embed different bits of secret information by prediction error expansion. Due to the prediction errors are modified before the secret information embedded, the doubled prediction errors can be reduced than previous methods. Because the smooth pixels embed fewer bits of the secret information and the complex pixels embed more bits, the proposed scheme not only overcomes the non-applicability to complex images in previous methods, but also has higher hiding capacity and image quality than previous methods .
|Appears in Collections:||資訊管理學系|
Show full item record
TAIR Related Article
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.