基于快速响应分解与颜色空间转换的光学彩色图像无损加密算法
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摘要
提出了基于快速响应分解与颜色空间转换的光学彩色图像无损加密算法。将彩色图像从RGB空间转换HSI到颜色空间,提取H、S、I三个成分;根据随机相位掩码,对H、S、I分量进行编码与调制处理;基于Gyrator变换,对相位编码后的H、S、I分量进行频域变换,通过广义卷积操作,形成一个Gyrator频谱;引入相位-幅度截断机制,得到Gyrator频谱的相位与幅度信息,将幅度部分作为密文。为了实现无损解密,利用快速响应分解技术对输出密文进行分割,获取其相应的Q、R成分,借助Gyrator变换对二者进行独立处理,形成编码信息;利用输出的相位信息来生成H、S、I分量对应的解密密钥,通过联合编码信息与解密密钥,获取HIS图像,再将其转换到RGB空间,实现无损解密。实验结果表明:与当前彩色图像加密技术相比,所提算法具有更高的安全性,能够更好地抗击剪切攻击与明文攻击,以及更高的解密质量,很好地保留了初始明文的直方图特性,视觉失真度最低。
The optical color image lossless encryption algorithm based on quick response decomposition and color space conversion was proposed in this paper.The color image was transformed from RGB space to HIS color space,and three components of H,Sand I were extracted.The H,Sand I components are coded and modulated according to the random phase mask.The phase coded H,Sand Icomponents were transformed in frequency domain based on the Gyrator transform,and Gyrator spectrum was formed by generalized convolution operation.The phase and amplitude information of Gyrator spectrum were obtained by introducing the phase-amplitude truncation mechanism,and amplitude information was regarded as the output cipher.In order to achieve lossless decryption,the corresponding Qand Rcomponents were obtained by using the quick response decomposition technique to segment the output cipher,and the encoding information was formed with the help of Gyrator transform to process the two codes.The decryption keys corresponding to H,Sand I components were generated by using the output phase information and the HIS image was obtained by jointing encoding information and decryption key to realize lossless decryption for converting it into RGB space.The experimental results show that the proposed algorithm has higher security which can better resist shearing attack and plaintext attack,and the higher the decryption quality,as well as the lowest visual distortion which better preserving the histogram characteristics of the initial plain compared with the current optical color image encryption technology.
The optical color image lossless encryption algorithm based on quick response decomposition and color space conversion was proposed in this paper.The color image was transformed from RGB space to HIS color space,and three components of H,Sand I were extracted.The H,Sand I components are coded and modulated according to the random phase mask.The phase coded H,Sand Icomponents were transformed in frequency domain based on the Gyrator transform,and Gyrator spectrum was formed by generalized convolution operation.The phase and amplitude information of Gyrator spectrum were obtained by introducing the phase-amplitude truncation mechanism,and amplitude information was regarded as the output cipher.In order to achieve lossless decryption,the corresponding Qand Rcomponents were obtained by using the quick response decomposition technique to segment the output cipher,and the encoding information was formed with the help of Gyrator transform to process the two codes.The decryption keys corresponding to H,Sand I components were generated by using the output phase information and the HIS image was obtained by jointing encoding information and decryption key to realize lossless decryption for converting it into RGB space.The experimental results show that the proposed algorithm has higher security which can better resist shearing attack and plaintext attack,and the higher the decryption quality,as well as the lowest visual distortion which better preserving the histogram characteristics of the initial plain compared with the current optical color image encryption technology.
引文
[1]Jie Liu,Tingzhu Bai,Xueju Shen.Parallel encryption for multichannel images based on an optical joint transform correlator[J].Optics Communications,2017,396(18):174-184.
[2]谭冬文,李彩虹.一种基于延迟反馈Logistic映射的彩色图像加密算法[J].微电子学与计算机,2017,34(10):47-52.Tan Dongwen,Li Caihong.A color image encryption algorithm based on delayed feedback Logistic mapping[J].Microelectronics&Computer,2017,34(10):47-52.
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[8]Nanrun Zhou,Yixian Wang,Lihua Gong.Novel single-channel color image encryption algorithm based on chaos and fractional Fourier transforms[J].Optics Communications,2011,284(9):2789-2796.
[9]Yaru Liang,Guoping Liu,Nanrun Zhou.Color image encryption combining a reality-preserving fractional DCT with chaotic mapping in HSI space[J].Multimedia Tools and Applications,2016,75(11):6605-6620.
[10]Carper W J,Lillesand T M,Kiefer P W.The use of intensityhue-saturation transformation for merging SPOT panchromatic and multispectral image data[J].Photogrammetric Engineering&Remote Sensing,1990,56(4):459-467.
[11]陈阳,郑涵容.复用技术耦合率失真优化的多图像加密机制[J].电视技术,2015,39(3):21-26.Chen Yang,Zheng Hanrong.Study on multi-Image encryption mechanism based on multiplexing technology integration with rate distortion optimization[J].Video Engineering,2015,39(3):21-26.
[12]肖宁,李爱军.基于圆谐分量展开与Gyrator变换域相位检索的光学图像加密算法[J].电子测量与仪器学报,2017,31(6):876-884.Xiao Ning,Li Aijun.Optical image encryption algorithm based on circular harmonic component expansion and Gyrator transform domain phase retrieval[J].Journal of Electronic Measurement and Instrumentation,2017,31(6):876-884.
[13]Liansheng Sui,Benqing Liu,Qiang Wang.Color image encryption by using Yang-Gu mixture amplitude-phase retrieval algorithm in gyrator transform domain and two-dimensional Sine logistic modulation map[J].Optics and Lasers in Engineering,2015,75(8):17-26.
[14]Qin W,Peng X.Asymmetric cryptosystem based on phasetruncated Fourier transforms[J].Optics Letters,2010,35(2):118-120.
[15]刘英,王俊祥,胡鸿豪,等.基于Contourlet变换和QR分解的鲁棒性盲数字水印算法[J].光电子·激光,2016,36(3):317-324.Liu Ying,Wang Junxiang,Hu Honghao,et al.Robust blind digital watermarking scheme based on contourlet transform and QR decomposition[J].Journal of Optoelectronics·Laser,2016,36(3):317-324.
[16]Liansheng Sui,Minjie Xu,Ailing Tian.Optical noise-free image encryption based on quick response code and high dimension chaotic system in gyrator transform domain[J].Optics and Lasers in Engineering,2017,91(10):106-114.
[17]杨贵宝,高霞.基于分数阶logistic映射与随机变换的双图像加密算法[J].内蒙古大学学报(自然科学版),2017,26(2):189-195.Yang Guibao,Gao Xia.Two-image encryption algorithm based on fractional logistic mapping and random transformation[J].Journal of Inner Mongolia University(Natural Science Edition),2017,26(2):189-195.
[18]王涛涛,张超.基于Diophantus模型与动态S盒的图像加密算法[J].计算机工程与设计,2017,38(10):2678-2685.Wang Taotao,Zhang Chao.Image encryption algorithm based on Diophantus model and dynamic S boxes[J].Computer Engineering and Design,2017,38(10):2678-2685.
[19]Carnicer A,Montes-Usategui M,Arcos S,et al.Vulnerability to chosen-cyphertext attacks of optical encryption schemes based on double random phase keys[J].Optical Letters,2005,30(13):1644-1646.
[2]谭冬文,李彩虹.一种基于延迟反馈Logistic映射的彩色图像加密算法[J].微电子学与计算机,2017,34(10):47-52.Tan Dongwen,Li Caihong.A color image encryption algorithm based on delayed feedback Logistic mapping[J].Microelectronics&Computer,2017,34(10):47-52.
[3]Abdurahman Kadir,Mireguli Aili,Mutallip Sattar.Color image encryption scheme using coupled hyper chaotic system with multiple impulse injections[J].Optik-International Journal for Light and Electron Optics,2017,129(33):231-238.
[4]李玉珍,金鑫,赵耿.基于Zigzag变换与混沌的彩色图像加密方案[J].计算机工程与设计,2016,37(8):2002-2006.Li Yuzhen,Jin Xin,Zhao Geng.Color image encryption scheme based on Zigzag transformation and chaotic map[J].Computer Engineering and Design,2016,37(8):2002-2006.
[5]Abolfazl Yaghouti Niyat,Mohammad Hossein Moattar.Color image encryption based on hybrid hyper-chaotic system and cellular automata[J].Optics and Lasers in Engineering,2017,90(18):225-237.
[6]Yohan Suryanto,Suryadi,Kalamullah Ramli.A new image encryption using color scrambling based on chaotic permutation multiple circular shrinking and expanding[J].Multimedia Tools and Applications,2017,76(15):16831-16854.
[7]梁亚茹.基于保实分数余弦变换和压缩感知的图像加密研究[D].江西:南昌大学,2015:87-96.Liang Yaru.Study on image encryption based on a reality-preserving fractional cosine transform and compressed sensing[D].JiangXi:Nanchang University,2015:87-96.
[8]Nanrun Zhou,Yixian Wang,Lihua Gong.Novel single-channel color image encryption algorithm based on chaos and fractional Fourier transforms[J].Optics Communications,2011,284(9):2789-2796.
[9]Yaru Liang,Guoping Liu,Nanrun Zhou.Color image encryption combining a reality-preserving fractional DCT with chaotic mapping in HSI space[J].Multimedia Tools and Applications,2016,75(11):6605-6620.
[10]Carper W J,Lillesand T M,Kiefer P W.The use of intensityhue-saturation transformation for merging SPOT panchromatic and multispectral image data[J].Photogrammetric Engineering&Remote Sensing,1990,56(4):459-467.
[11]陈阳,郑涵容.复用技术耦合率失真优化的多图像加密机制[J].电视技术,2015,39(3):21-26.Chen Yang,Zheng Hanrong.Study on multi-Image encryption mechanism based on multiplexing technology integration with rate distortion optimization[J].Video Engineering,2015,39(3):21-26.
[12]肖宁,李爱军.基于圆谐分量展开与Gyrator变换域相位检索的光学图像加密算法[J].电子测量与仪器学报,2017,31(6):876-884.Xiao Ning,Li Aijun.Optical image encryption algorithm based on circular harmonic component expansion and Gyrator transform domain phase retrieval[J].Journal of Electronic Measurement and Instrumentation,2017,31(6):876-884.
[13]Liansheng Sui,Benqing Liu,Qiang Wang.Color image encryption by using Yang-Gu mixture amplitude-phase retrieval algorithm in gyrator transform domain and two-dimensional Sine logistic modulation map[J].Optics and Lasers in Engineering,2015,75(8):17-26.
[14]Qin W,Peng X.Asymmetric cryptosystem based on phasetruncated Fourier transforms[J].Optics Letters,2010,35(2):118-120.
[15]刘英,王俊祥,胡鸿豪,等.基于Contourlet变换和QR分解的鲁棒性盲数字水印算法[J].光电子·激光,2016,36(3):317-324.Liu Ying,Wang Junxiang,Hu Honghao,et al.Robust blind digital watermarking scheme based on contourlet transform and QR decomposition[J].Journal of Optoelectronics·Laser,2016,36(3):317-324.
[16]Liansheng Sui,Minjie Xu,Ailing Tian.Optical noise-free image encryption based on quick response code and high dimension chaotic system in gyrator transform domain[J].Optics and Lasers in Engineering,2017,91(10):106-114.
[17]杨贵宝,高霞.基于分数阶logistic映射与随机变换的双图像加密算法[J].内蒙古大学学报(自然科学版),2017,26(2):189-195.Yang Guibao,Gao Xia.Two-image encryption algorithm based on fractional logistic mapping and random transformation[J].Journal of Inner Mongolia University(Natural Science Edition),2017,26(2):189-195.
[18]王涛涛,张超.基于Diophantus模型与动态S盒的图像加密算法[J].计算机工程与设计,2017,38(10):2678-2685.Wang Taotao,Zhang Chao.Image encryption algorithm based on Diophantus model and dynamic S boxes[J].Computer Engineering and Design,2017,38(10):2678-2685.
[19]Carnicer A,Montes-Usategui M,Arcos S,et al.Vulnerability to chosen-cyphertext attacks of optical encryption schemes based on double random phase keys[J].Optical Letters,2005,30(13):1644-1646.