针对LSB匹配隐写的评价策略与改进方法
PDF下载 (387)方蒙蒙1,2,何加铭1,2*,金 超3,史智慧1,2.针对LSB匹配隐写的评价策略与改进方法[J].宁波大学学报(理工版),2015,28(03):29-33.DOI:
FANG Meng-meng1,2,HE Jia-ming1,2*,JIN Chao3,SHI Zhi-hui1,2.Evaluation and Improvement for LSB Matching Steganography[J].Journal of Ningbo University(Natural Science & Engineering Edition),2015,28(03):29-33.DOI:
| Title: | Evaluation and Improvement for LSB Matching Steganography |
| 作者: | 方蒙蒙1, 2, 何加铭1, 2*, 金 超3, 史智慧1, 2 |
| Author(s): | FANG Meng-meng1, 2, HE Jia-ming1, 2*, JIN Chao3, SHI Zhi-hui1, 2 |
| 关键词: | 信息隐藏; LSB匹配; 隐写; 评估; 粒子群优化算法 |
| Keywords: | information hiding; LSB matching; steganography; evaluation; particle swarm optimization algorithm |
| 分类号: | TN92 |
| 文献标识码: | A |
| 摘要: | 以Mielikainen提出的LSB匹配算法为基础, 通过分析秘密信息对与载体像素对之间的不同匹配顺序对隐写算法性能的影响, 提出了一个三级得分评价策略. 根据此评价策略的指导, 采用粒子群优化算法寻找出最优的信息对嵌入顺序, 并在此基础上对Mielikainen的方法进行改进, 提出了一种新的隐写算法. 实验结果表明, 在嵌入相同大小秘密信息的条件下, 提出的算法减少了载体图像中灰度值发生变化的像素点数, 从而有效提高了隐秘图像的视觉感知质量. |
| Abstract: | By analyzing the performance impact of different matching orders between secret messages and carrier pixels on the algorithm, this paper proposes a three-level score evaluating strategy based on the pair-wise LSB matching method proposed by Mielikainen. Using the new evaluating strategy, a particle swarm optimization algorithm is applied to search for an optimal solution among all such permutation orders, based on which a novel steganographic algorithm is presented aiming at improving Mielikaine’s method. The experimental results indicate that, with the same amount of secret information, the proposed method further reduces the number of pixels with changed gray-values in the carrier image after embedding the secret messages. Therefore, the stegano image achieves higher visual perceptual quality using the proposed method than Mielikainen’s method |
| 参考文献 /References: | [1].刘粉林, 刘九芬, 罗向阳等. 数字图像隐写分析[M]. 北京 机械工业出版社, 2010 [2].Ker A D. Improved detection of LSB steganography in grayscale images[C]. Information Hiding, Springer Berlin Heidelberg, 2005:97-115. [3].Chan C K, Cheng L M. Hiding data in images by simple LSB substitution[J]. Pattern recognition, 2004, 37(3): 469-474. [4].Mielikainen J. LSB matching revisited[J]. IEEE Signal Processing Letters, 2006, 13(5): 285-287. [5].Fridrich J, Goljan M, Soukal D. Higher-order statistical steganalysis of palette images[C]. Security, Stegano- graphy, and Watermarking of Multimedia Contents, 2003: 178-190. [6].Fridrich J, Soukal D, Goljan M. Maximum likelihood estimation of length of secret message embedded using ±k steganography in spatial domain[C]. Security, Stega- nography, and Watermarking of Multimedia Contents, 2005:595-606. [7].Soleimanpourmoghadam M, NezamabadiH, Farsangi M M, et al. A more secure steganography method based on pair-wise LSB matching via a quantum gravitational search algorithm[C]. 2012 16th CSI International Sympo- sium on Artificial Intelligence and Signal Processing, 2012:34-38. [8].Xu H, Wang J, Kim H J. Near-optimal solution to pair-wise LSB matching via an immune programming strategy[J]. Information Sciences, 2010, 180(8):1201- 1217. [9].Khosravi M, Soleymanpourmoghaddam S, Mahyabadi M. Improved pair-wise LSB matching steganography with a new evaluating system[C]. 2012 Sixth International Symposium on Telecommunications, 2012:982-986. [10].Elbeltagi E, Hegazy T, Grierson D. Comparison among five evolutionary-based optimization algorithms[J]. Advanced engineering informatics, 2005, 19(1): 43-53. |
| 备注/Memo: | 收稿日期: 2014?05?26. 宁波大学学报（理工版）网址: http://journallg.nbu.edu.cn/ 基金项目: 国家科技重大专项（ 2011ZX03002-004-02 ） ; 浙江省重点科技创新团队项目（ 2012R10009-19, 2012R10009-11 ） ; 浙江省移动网络应用技术重点实验室项目（ 2010E10005 ） . 第一作者: 方蒙蒙（1988－）, 女, 安徽安庆人, 在读硕士研究生, 主要研究方向: 信息隐藏算法及评价. E-mail: fmm1026@163.com *通信作者: 何加铭（1949－）, 男, 浙江杭州人, 博导/教授, 主要研究方向: 移动互联网技术. E-mail: hejiaming@nbu.edu.cn 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
