期刊文献+

非线性欠定混合的图像加密 被引量:1

Nonlinear-underdetermined Mixture Applied to Image Cryptosystems
下载PDF
导出
摘要 盲源分离技术应用于图像加密其主要原理是利用欠定混合形成的病态问题无法求解来实现;但由于盲源分离技术存在着解的顺序和尺度不确定性,并且要求源图像、密钥图像各图像之间尽量没有相关性,这些问题影响了图像解密的效果,也使加密系统适用范围受限。另外已被证实未加预加密处理的欠定混合,其本身抗攻击性较弱。为此,提出了一种基于前置非线性欠定混合的图像加密解密新方法。该方法先利用可逆非线性函数对图像进行处理,再进行欠定混合,获得加密信号;而解密端利用密钥得到等效混合矩阵的逆矩阵,以及非线性函数的逆函数,通过矩阵求逆以及非线性函数的逆运算处理获得与明文图像相同的解密图像。仿真实验和性能分析结果表明,该方法解密质量很好,速度较快,解密图像不存在顺序和灰度值的变化,同时省去图像之间的相关性要求,抗攻击性强。 Blind source separation technique has been used in image encryption,and the encryption is based on the unsolved ill-posed problem brought by underdetermined mixture.Due to the uncertainty of the order and the scale of the BSS solution,and the requirement of the uncorrelation between the original images and key images,the effect of the image decryption is affected,and the scope is limited.Moreove,the cryptosystem has been confirmed to be weak against attacks for underdetermined-mixture without pre-encryption process.Therefore,a novel method based on preposing nonlinear-underdetermined mixture is proposed for image encryption and decryption.This method firstly adopts reversible nonlinear functions to process the images,and then execute underdetermined mixture between these images to get the ciphertext signals.The decryption end could obtain the inversed matrix of the equivalent mixed-matrix and the inverse functions of the nonlinear invertible functions through the keys.Then the decrypted images are can got by means of the inverse matrix and inverse functions.Simulation and performance analysis demonstrate thatteh proposed method can provide much higher quality and much faster speed compared to the BSS decyrption and correlation calculation,simultaneously,the decrypted images don't exist the problem of changes from the order and gray value,moveover,the method eliminates the requirement for uncorrelation between the original images and the key images,and have strong resistance to attacks.
作者 苏彦 杨开勇
出处 《科学技术与工程》 北大核心 2012年第1期68-75,80,共9页 Science Technology and Engineering
基金 国家自然科学基金(61003170) 高等学校博士学科点专项科研基金(20090172120011) 华南理工大学中央高校基本科研业务费专项资金(2009ZM0295)资助
关键词 欠定混合 图像加密 盲源分离 相关运算 前置非线性(PreNL) underdetermined mixture image encryption blind signal separation correlation calculation preposing-nonlinear
  • 相关文献

参考文献14

  • 1Yang M, Bourbakis N, Shujun Li. Data-image-video encryption . Potentials, IEEE, 2004 ;23:28-34.
  • 2Furht B, Socek D, Eskicioglu A M. Fundamentals of multimedia encryption techniques. In : Multimedia Security Handbook. Furht B, Kirovski D, Eds. Boca Raton, FL: CRC, 2004;3:93-132.
  • 3Dang P P, Chau P M. Image encryption for secrue internet multimedia applications. Consumer Electronics, IEEE Transactions on, 2000;46(3) : 395-403.
  • 4Lin Qiuhua,Fu Liang, Mei Tiemin, et al. A blind source separation based method for speech encryption . IEEE Transaction on Circuits and Systems, 2006; 53(6) :1320-1328.
  • 5Lin Qiuhua, Yin Fuliang. Image cryptosystems based on blind source separation. IEEE Conf Neural Network and signal Processing, 2003 : 1366-1369.
  • 6Lin Qiuhua, Yin Fuliang, Mei Tiemin, et al. A blind souffle separatinon-base method for multiple images encryption . Image and Vision Computing, 2008 ;26:788-798.
  • 7林秋华,党杰,殷福亮.盲源分离图像加密的相关运算解密法[J].通信学报,2008,29(1):109-114. 被引量:5
  • 8Li Shujun, Li Chengqing, Kwok-Tung Lo, et al. Cryptanalyzing an encryption scheme based on blind source separation . IEEE Transactions on Circuits and Systems, 2008; 55 (4) :1055-1064.
  • 9Xie Shenli, Yang Zuyuan, Fu Yuli. Nonegative matrix factorization applied to nonlinear speech and image cryptosystems . IEEE Transactions on circuits and systems,2008 ;55 (8) : 2356-2367.
  • 10Hyvarinen A, Oja E. A fast fixed point algorithm for independent component and analysis. Neural Computation, 1997 ; 9 (7) : 1483-1492.

二级参考文献11

  • 1党杰,林秋华,殷福亮.基于盲源分离的多幅顺序图像加密方法[J].电子与信息学报,2007,29(6):1471-1475. 被引量:3
  • 2LIN Q H, YIN F L, MEI T M, et al, A blind sources separation based method for multiple images encryption [EB/OL]. http://dx.doi.org/ 10.1016/j .imavis. 2007.08.017,2007.
  • 3KASPRZAK W, CICHOCKI A. Hidden image separation from incomplete image mixtures by independent component analysis[A]. Proc 13th Int Conf Pattern Recognition[C]. 1996. 394-398.
  • 4CAO X R, LIU R W. General approach to blind source separation[J]. IEEE Trans on Signal Processing, 1996, 44(3): 562-571.
  • 5MENEZES A, OORSCHOT P V, VANSTONE S. Handbook of Applied Cryptography[M]. New York: CRC Press, 1996.
  • 6COMON P. Independent component analysis, a new concept?[J] Signal Processing, 1994, 36(3): 287-314.
  • 7CARDOSO J F. Blind beamforming for non-Gaussian signal[J]. IEE Proceedings-F: Radar and Signal Processing, 1993, 140(6): 362-370.
  • 8HYVARINEN A, KARHUNEN J, OJA E. Independent Component Analysis[M]. New York: John Wiley, 2001.
  • 9CICHOCKI A, AMARI S. Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications[M]. New York: John Wiley, 2003.
  • 10LIN Q H, YIN F L, LIANG H L. Blind source separation-based encryption of images and speeches[A]. Lecture Notes in Computer Science[C]. Berlin: Springer, 2005. 544-549.

共引文献4

同被引文献12

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部