A Robust Image Steganography on Resisting JPEG Compression with No Side Information

References

• A. D. Ker, P. Bas, R. Bohme, R. Cogranne, S. Craver, T. Filler, J. Fridrich, and T. Pevny, “Moving steganography and steganalysis from the laboratory into the real world,” in Proceedings of ACM Workshop on Information Hiding and Multimedia Security, Montpellier, 2013, pp. 45–58.
   Google Scholar
• J. Fridrich, Steganography in Digital Media: Principles, Algorithms, and Applications. Cambridge: Cambridge University Press, 2009.
   Google Scholar
• C. Qin, C. C. Chang, Y. H. Huang, and L. T. Liao, “An inpainting-assisted reversible steganographic scheme using a histogram shifting mechanism,” IEEE Trans. Circuits Syst. Video Technol., Vol. 23, no. 7, pp. 1109–18, 2013. doi: 10.1109/TCSVT.2012.2224052
   Web of Science ®Google Scholar
• C. Qin, C. C. Chang, and Y. P. Chiu, “A novel joint data-hiding and compression scheme based on SMVQ and image inpainting,” IEEE Trans. Image Process., Vol. 23, no. 3, pp. 969–78, 2014. doi: 10.1109/TIP.2013.2260760
   PubMed Web of Science ®Google Scholar
• C. Qin, C. C. Chang, and T. J. Hsu, “Reversible data hiding scheme based on exploiting modification direction with two steganographic images,” Multimedia Tools Appl., Vol. 74, no. 15, pp. 5861–72, 2015. doi: 10.1007/s11042-014-1894-5
   Web of Science ®Google Scholar
• Y. Zhang, C. Qin, W. Zhang, F. Liu, and X. Luo, “On the fault-tolerant performance for a class of robust image steganography”, Signal Process., Vol. 146, pp. 99–111, Feb. 2018. doi: 10.1016/j.sigpro.2018.01.011
   Web of Science ®Google Scholar
• Y. Zhang, X. Luo, C. Yang, D. Ye, and F. Liu, “A framework of adaptive steganography resisting JPEG compression and detection,” Secur. Commun. Netw., Vol. 9, no. 15, pp. 2957–71, Apr. 2016. doi: 10.1002/sec.1502
   Web of Science ®Google Scholar
• G. Tiwari, “A review on robust watermarking with its applications and comparative analysis,” Int. J. Signal Process. Image Process. Pattern Recognit., Vol. 8, no. 6, pp. 85–90, Jun. 2015.
   Google Scholar
• J. S. Tsai, W. B. Huang, Y. H. Kuo, and M. F. Horng, “Joint robustness and security enhancement for feature-based image watermarking using invariant feature regions,” Signal Process., Vol. 92, no. 6, pp. 1431–45, Jun. 2012. doi: 10.1016/j.sigpro.2011.11.033
   Web of Science ®Google Scholar
• E. D. Tsougenis, G. A. Papakostas, D. E. Koulouriotis, and V. D. Tourassis, “Performance evaluation of moment-based watermarking methods: A review,” J. Syst Softw., Vol. 85, no. 8, pp. 1864–84, Sep. 2012. doi: 10.1016/j.jss.2012.02.045
   Web of Science ®Google Scholar
• X. Y. Wang, Y. N. Liu, H. Xu, A. L. Wang, and H. Y. Yang, “Blind optimum detector for robust image watermarking in nonsubsampled shearlet domain,” Inf. Sci., Vol. 372, pp. 634–54, Apr. 2016. doi: 10.1016/j.ins.2016.08.076
   Web of Science ®Google Scholar
• C. C. Chang, T. S. Nguyen, and C. C. Lin, “A reversible compression code hiding using soc and smvq indices,” Inf. Sci., Vol. 300, pp. 85–99, Jul. 2015. doi: 10.1016/j.ins.2014.12.028
   Web of Science ®Google Scholar
• T. Filler, and J. Fridrich, “Design of adaptive steganographic schemes for digital images,” in Proc. IS&T/SPIE Electronic Imaging, Media Watermarking, Security, and Forensics XIII, Vol. 7880, pp. 0F–1–0F–14, Mar. 2011.
   Google Scholar
• T. Filler, J. Judas, and J. Fridrich, “Minimizing embedding impact in steganography using trellis-coded quantization,” in Proc. IS&T/SPIE Electronic Imaging, Media Forensics and Security XII, Vol. 7541, pp. 05–1–05–14, Mar. 2010.
   Google Scholar
• B. Li, S. Tan, M. Wang, and J. Huang, “Investigation on cost assignment in spatial image steganography,” IEEE Trans. Inf. Forensics Sec., Vol. 9, no. 8, 1264–77, Sep. 2014. doi: 10.1109/TIFS.2014.2326954
   Web of Science ®Google Scholar
• V. Holub and J. Fridrich, “Designing steganographic distortion using directional filters,” in Proceedings of IEEE International Workshop on Information Forensics & Security, Guangzhou, 2013, pp. 234–9.
   Google Scholar
• F. Huang, J. Huang, and Y. Shi, “New channel selection rule for JPEG steganography,” IEEE Trans. Inf. Forensics Sec., Vol. 7, no. 4, pp. 1181–91, Apr. 2012. doi: 10.1109/TIFS.2012.2198213
   Web of Science ®Google Scholar
• L. Guo, J. Ni, and Y. Shi, “An efficient JPEG steganographic scheme using uniform embedding,” in Proceedings of the IEEE International Workshop on Information Forensics and Security, Costa Adeje, Tenerife, 2012, pp. 169–74.
   Google Scholar
• C. Wang and J. Ni, “An efficient JPEG steganographic scheme based on the block entropy of DCT coefficients,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, 2012, pp. 1785–8.
   Google Scholar
• V. Holub, J. Fridrich, and T. Denemark, “Universal distortion function for steganography in an arbitrary domain,” EURASIP J. Inf. Sec., Vol. 2014, no. 1, 1–13, Jan. 2014. doi: 10.1186/1687-417X-2014-1
   Google Scholar
• J. Kodovsky, and J. Fridrich, “Calibration revisited,” in Proceedings of the 11th ACM Workshop on Multimedia and Security, Princeton, NJ, 2009, pp. 63–74.
   Google Scholar
• J. Fridrich, and J. Kodovsky, “Rich models for steganalysis of digital images,” IEEE Trans. Inf. Forensics Sec., Vol. 7, no. 3, 868–82, Mar. 2012. doi: 10.1109/TIFS.2012.2190402
   Web of Science ®Google Scholar
• V. Holub, and J. Fridrich, “Low-complexity features for JPEG steganalysis using undecimated DCT,” IEEE Trans. Inf. Forensics Sec., Vol. 10, no. 2, pp. 219–28, Feb. 2015. doi: 10.1109/TIFS.2014.2364918
   Web of Science ®Google Scholar
• Y. Ma, X. Luo, X. Li, Z. Bao, and Y. Zhang, “Selection of rich model steganalysis features based on decision rough set-positive region reduction,” IEEE Trans. Circuits Syst. Video Technol., published online, Jun. 2018. doi:10.1109/TCSVT.2018.2799243.
   PubMed Web of Science ®Google Scholar
• Y. Zhang, X. Luo, C. Yang, and F. Liu, “Joint JPEG compression and detection resistant performance enhancement for adaptive steganography using feature regions selection,” Multimedia Tools Appl., Vol. 76, no. 3, pp. 1–20, Mar. 2017.
   Web of Science ®Google Scholar
• J. Fridrich and T. Filler, “Practical methods for minimizing embedding impact in steganography,” in Proc. IS&T/SPIE Electronic Imaging, Photonics West, Vol. 6505, pp. 02–01–02–15, 2007.
   Google Scholar
• I. S. Reed, and G. Solomon, “Polynomial codes over certain finite fields,” J. Soc. Ind. Appl. Math., Vol. 8, no. 2, pp. 300–4, Feb. 1960. doi: 10.1137/0108018
   Google Scholar
• T. Pevny and J. Fridrich, “Merging Markov and DCT features for multi-class JPEG steganalysis,” in Proceedings of SPIE – The International Society for Optical Engineering, Vol. 6505, pp. 650503–650503–13, 2007.
   Google Scholar
• D. Y. Chen, M. Ouhyoung, and J. L. Wu, “A shift-resisting public watermark system for protecting image processing software,” IEEE Trans. Consum. Electron., Vol. 46, no. 3, 404–14, Mar. 2000. doi: 10.1109/30.883385
   Web of Science ®Google Scholar
• J. Kodovsky, J. Fridrich, and V. Holub, “Ensemble classifiers for steganalysis of digital media,” IEEE Trans. Inf. Forensics Sec., Vol. 7, no. 2, pp. 432–44, Feb. 2012. doi: 10.1109/TIFS.2011.2175919
   Web of Science ®Google Scholar