激光与光电子学进展, 2013, 50 (9): 091002, 网络出版: 2013-08-21   

基于小波变换的分数阶傅里叶变换多图加密技术研究

Multi-Image Encryption Based on Wavelet Transform and Fractional Fourier Transform
作者单位
1 军械工程学院光学与电子工程系, 河北 石家庄 050003
2 酒泉卫星发射中心, 甘肃 酒泉 732750
摘要
以小波变换和分数傅里叶变换为基本理论依据,介绍了一种基于小波变换的分数阶傅里叶变换多图加密技术,丰富了多图加密的方法。该方法充分利用了小波变换的多分辨率分解的特性,结合分数傅里叶变换,不仅有效完成了多图加密,而且实现了各图像独立的处理,加密后,每个图像都会有自己独立的密钥。分析了小波变换类型和变换级次对加、解密效果的影响,并对算法的应用做了分析和说明。数值模拟验证了该方法的可行性,表明该算法较好地解决了多图加密系统容量不足的问题,不仅增大了密钥空间,提高了安全性,还提高了算法应用的多样性和灵活性。最后,提出了一种可行实现装置来实现该方案。
Abstract
A multi-image encryption scheme based on optical wavelet transform (OWT) and fractional Fourier transform (FrFT) is proposed, which enriches the multi-image encryption method. The scheme combines OWT and FrFT to make full use of multi-resolution decomposition of wavelet transform (WT). WT can focus most energy of the original images on the low-frequency parts, so the sizes of images can be reduced as far as possible without loss of image quality. The mentioned properties can not only realize the multi-image encryption, but also make sure each image is processed alone. When encryption is finished, each image will get its own independent keys. Analysis of encrypted effects is completed. Furthermore, the influence of WT type and order are analyzed, and application and analysis of independent keys are accomplished as well. Numerical simulation verifies the feasibility of the scheme and shows that the problem of insufficient capacity is solved better. The security of the method is analyzed. It can be concluded that the method expands the space of keys, which improves the security. Moreover, the application of independent keys makes the variability and flexibility of scheme increase, which means that multi-user decryption, cascade, and multi-user authentication can be achieved. A simple photoelectric mixed device to realize the scheme is proposed.
参考文献

[1] G Unnikrishnan, J Joseph, K Singh. Optical encryption by double-random phase encoding in the fractional Fourier domain [J]. Opt Lett, 2000, 25(12): 887-889.

[2] Liu Shutian, Yu Li, Zhu Banghe. Optical image encryption with multi-stage and multi-channel fractional Fourier domain filtering [J]. Opt Lett, 2001, 26(15): 1242-1244.

[3] Liu Zhengjun, Zhao Haifa, Liu Shutian. A discrete fractional random transform [J]. Opt Commun, 2005, 255(4-6): 357-365.

[4] Liu Zhengjun, Guo Qing, Liu Shutian. The discrete fractional random cosine and sine transforms [J]. Opt Commun, 2006, 265(1): 100-105.

[5] Jin Weimin, Yan Caijie. Optical image encryption based on multi-channel fractional Fourier transform and double random phase encoding technique [J]. Optik, 2007, 118(1): 1138-1141.

[6] 李娟, 冯勇, 杨旭强. 压缩图像的三维混沌加密算法[J]. 光学学报, 2010, 30(2): 399-404.

    Li Juan, Feng Yong, Yang Xuqiang. 3D Chaotic encryption scheme for compressed image [J]. Acta Optica Sinica, 2010, 30(2): 399-404.

[7] 秦怡, 张帅, 巩琼, 等. 基于干涉原理的虚拟光学加密系统[J]. 光学学报, 2012, 32(10): 1007001.

    Qin Yi, Zhang Shuai, Gong Qiong, et al.. Virtual optical image encryption based on interference [J]. Acta Optica Sinica, 2012, 32(10): 1007001.

[8] 王永瑛, 王玉荣, 杨永斌. 用迭代傅里叶变换算法实现光学分级图像加密[J]. 中国激光, 2006, 33(10): 1360-1364.

    Wang Yongying, Wang Yurong, Yang Yongbin. Optical hierarchical image encryption by use of iterative Fourier transform algorithm [J]. Chinese J Lasers, 2006, 33(10): 1360-1364.

[9] Tao Ran, Lang Jun, Wang Yue. Optical image encryption based on the multiple-parameter fractional Fourier transform [J]. Opt Lett, 2008, 33(6): 581-583.

[10] Tao Ran, Lang Jun, Wang Yue. The multiple-parameter fractional Hadamard transform [J]. Opt Commun, 2009, 282(8): 1531-1535.

[11] 席思星, 孙欣, 刘兵, 等. 基于计算全息的双随机相位图像加密技术[J]. 激光与电子学进展, 2012, 49(4): 040902.

    Xi Sixing, Sun Xin, Liu Bing, et al.. New image encryption technology of image based on computer generated hologram [J]. Laser & Optoelectronics Progress, 2012, 49(4): 040902

[12] 邓晓鹏. 随机相位编码光学图像加密研究进展[J]. 激光与光电子学进展, 2005, 42(9): 11-13.

    Deng Xiaopeng. Research and progress of optical image encryption using random phase mask [J]. Laser & Optoelectronics Progress, 2005, 42(9): 11-13.

[13] Ma Guohong, Wang Congyang, Ze Hong. A seam image processing method based on wavelet compress [J]. Appl Mech Mater, 2012, 472-475: 1353-1356.

[14] Zhou Houkui. An stationary wavelet transform and curvelet transform based infrared and visible images fusion algorithm [J]. Int J Digit Content Technol Appl 2012, 6(1):144-151.

[15] R A Maestre, J Garcia, C Ferreira. Pattern recognition using sequential matched filtering of wavelet coefficients[J]. Opt Commun, 1997, 133(1-6): 401-414.

[16] David Mendlovic. Continuous two-dimensional on-axis optical wavelet transformer and wavelet processor with white-light illumination [J]. Appl Opt, 1998, 37(8): 1279-1282.

[17] S P Kozaitis, M A Getbehead. Optical wavelet feature extraction using a multiple-input phase-only encoded joint-transform correlator [J]. Opt Commun, 1998, 151(1-3): 15-20.

[18] Chen Linfei, Zhao Daomu. Optical image encryption based on fractional wavelet transform [J]. Opt Commun, 2005, 254(4-6): 361-367.

[19] Chen Linfei, Zhao Daomu. Color image encoding in dual fractional Fourier-wavelet domain with random phases [J]. Opt Commun, 2009, 282(17): 3433-3438.

[20] D Mendlovic, N Konforti. Optical realization of the wavelet transform for two-dimensional objects [J]. Appl Opt, 1993, 32(32): 6542-6546.

[21] J Garcia, Z Zalevsky, D Mendlovic.Two-dimensional wavelet transform by wavelength multiplexing [J]. Appl Opt, 1996, 35(35): 7019-7024.

孔德照, 沈学举, 林超, 高宇辰. 基于小波变换的分数阶傅里叶变换多图加密技术研究[J]. 激光与光电子学进展, 2013, 50(9): 091002. Kong Dezhao, Shen Xueju, Lin Chao, Gao Yuchen. Multi-Image Encryption Based on Wavelet Transform and Fractional Fourier Transform[J]. Laser & Optoelectronics Progress, 2013, 50(9): 091002.

本文已被 3 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!