全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

利用边缘匹配矢量量化和变率编码的高嵌入效率信息隐藏

DOI: 10.11834/jig.20130402

Keywords: 信息隐藏,SMVQ,嵌入容量,比特率,嵌入效率

Full-Text   Cite this paper   Add to My Lib

Abstract:

衡量信息隐藏方法性能的优劣,一个重要指标为嵌入效率。在Deng方法的基础上,提出一种对其嵌入效率的改进算法,利用边缘匹配矢量量化(SMVQ)更强的索引间相关性以及当前块与相邻块索引差值更集中的数值分布范围进行信息隐藏。实验结果表明改进后的算法能够显著提高嵌入性能,与Deng方法相比,比特率下降了10.43%~19.80%,嵌入容量提高了25.61%~46.95%,嵌入效率则提高了41.33%~71.95%。

References

[1]  Chan C K, Cheng L M. Hiding data in images by simple LSB substitution[J]. Pattern Recognition, 2004, 37(3): 469-474.
[2]  Sun S H, Lu Z M. Technology and Application of Vector Quantization[M]. Beijing:Science Press, 2002:31-48.[孙圣和,陆哲明.矢量量化技术及应用[M].北京:科学出版社,2002:31-48.]
[3]  Yang B, Lu Z M. Sun S H. Reversible watermarking in the VQ-compressed domain[C]//Proceedings of the 5th International Conference on Visualization, Imaging, and Image Processing. Calgary: ACTA Press, 2005: 289-303.
[4]  Lin C Y, Chang C C. Hiding data in VQ-compressed images using dissimilar pairs[J]. Journal of Computers. 2006,17(2):3-10.
[5]  Chang C C, Lin C Y. Reversible steganographic method using SMVQ approach based on declustering[J]. Information Sciences,2007,177(8): 1796-1805.
[6]  Chang C C, Kieu T D, Chou Y C. Reversible information hiding for VQ indices based on locally adaptive coding[J]. Journal of Visual Communication and Image Representation, 2009, 20(1):57-64.
[7]  Chang C C, Kieu T D, Wu W C. A lossless data embedding technique by joint neighboring coding[J]. Pattern Recognition, 2009,42(7): 1597-1603.
[8]  Deng X M,Pan Z P,Qiao R P.et al.A high capacity information embedding scheme in VQ-compressed image [J].Journal of Image and Graphics,2011,16(9):1583-1591.[邓晓曼,潘志斌,乔瑞萍,等.面向索引图的大容量信息隐藏方法[J].中国图象图形学报,2011,16(9):1583-1591.]
[9]  Kim T.Side match and overlap match vector quantizers for Images[J].IEEE Transactions on Image Processing,1992,1(2):170-185.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133