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Tytuł artykułu

Adaptive local complexity controlled data hiding method considering the human visual sensitivity

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper proposes a human visual system based data hiding method with the consideration of the local complexity in images. It is known that human vision is more sensitive to the changes in smooth area than that of complex area, we embed less data into blocks with low complexity and embed more data into blocks with rich texture. We use the modified diamond encoding (MDE) as the embedding technique, and employ a sophisticated pixel pair adjustment process to maintain the complexity consistency of blocks before and after embedding data bits. Since the proposed method is robust to LSB-based steganalysis, it is more secure than other existing methods using the LSB replacement as their embedding technique. The experimental results revealed that the proposed method not only offers a better embedding performance, but is also secure under the attack of the LSB based steganalysis tools.
Rocznik
Strony
367--374
Opis fizyczny
Bibliogr. 19 poz., il., rys., wykr.
Twórcy
autor
autor
autor
  • Department of Technology Management, Chung Hua University, 707, Sec. 2, WuFu Rd., Hsinchu, Taiwan, 30012 Republic of China
Bibliografia
  • [1] N. Provos and P. Honeyman: Hide and seek: an introduction to steganography. IEEE Secur. Priv. 3, 32-44, 2003.
  • [2] W. Hong and T. S. Chen: Reversible data embedding for high quality images using interpolation and reference pixel distribution mechanism. J. Vis. Commun. Image R. 22, 131-140, 2011.
  • [3] C. K. Chan and L. M. Cheng: Hiding data in images by simple LSB substitution. Pattern Recogn. 37, 469-474, 2004.
  • [4] J. Mielikainen: LSB matching revisited. IEEE Signal Proc. Let. 13, 285-287, 2006.
  • [5] X. Zhang and S. Wang: Efficient steganographic embedding by exploiting modification direction. IEEE Commun. Lett. 10, 781-783, 2006.
  • [6] K. Y. Lin, W. Hong, J. Chen, T. S. Chen, and W. C. Chiang: Data hiding by exploiting modification direction technique using optimal pixel grouping. Proc. Int. Conf. on Education Technology and Computer 3, 121-123, 2010.
  • [7] W. Hong: An efficient prediction-and-shifting embedding technique for high quality reversible data hiding. EURASIP J. Adv. Sig. Pr. Special Issue on Advanced Image Processing for Defense and Security Applications, 2010, article ID 104835, doi:10.1155/2010/104835, 2010.
  • [8] C. F. Lee, C. C. Chang, and K. H. Wang: An improvement of EMD embedding method for large payloads by pixel segmentation strategy. Image Vision Comput. 26, 1670-1676, 2008.
  • [9] R. M Chao, H. C. Wu, C. C. Lee, and Y. P. Chu: A novel image data hiding scheme with diamond encoding. EURASIP J. on Information Security 2009, Article ID 658047, 2009.
  • [10] H. Qi, D. Zheng, and J. Zhao: Human visual system based adaptive digital image watermarking. Signal Process. 88, 174-188, 2008.
  • [11] D. C. Wu and W. H. Tsai: A Steganographic method for images by pixel-value differencing. Pattern Recogn. Lett. 24, 1613-1626, 2003.
  • [12] C. M. Wang, N. I Wu, C. S. Tsai, and M. S. Hwang: A high quality steganographic method with pixel-value differencing and modulus function. J. Syst. Software 81, 150-158, 2008.
  • [13] W. Hong, T. S. Chen, and C. W. Luo: Data embedding using pixel value differencing and diamond encoding with multiple-base notational system. J. Syst. Software 85, 1166-1175, 2012.
  • [14] D. C. Lou, N. I. Wu, C. M. Wang, Z. H. Lin, and C. S. Tsai: A novel adaptive steganography based on local complexity and human vision sensitivity. J. Syst. Software 83, 1236-1248, 2010.
  • [15] J. Fridrich, M. Goljan, and R. Du: Reliable detection of LSB steganography in color and grayscale images. Proc. Int. Workshop on Multimedia and Security, 27-30, 2001.
  • [16] A. D. Ker: Steganalysis of LSB matching in grayscale images. IEEE Signal Proc. Let. 12, 441-444, 2005.
  • [17] W. Hong and T. S. Chen: A novel data embedding method using adaptive pixel pair matching. IEEE T. Inf. Foren. Sec. 7, 176-184, 2012.
  • [18] RSP image database. Available: http://dud.inf.tu-dresden.de/~westfeld/rsp/rsp.html
  • [19] USC-SIPI image database. Available: http://sipi.usc.edu/database.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAD-0027-0020
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