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Double-image encryption scheme based on the phase-truncated multiple-parameter Fresnel transform

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A double-image encryption algorithm is proposed with the phase-truncated multiple-parameter Fresnel transform. Firstly, the pixel positions of two plaintext images are scrambled and then the results are merged into one image with the scrambling operation. Subsequently, the resulting image is encrypted by phase truncation and phase reservation in the multiple-parameter Fresnel transform domain. The phase information is scrambled by the affine transform and then recombined with the amplitude information. The final encryption image is obtained with the pixel scrambling and diffusion methods to further enhance the security of the image encryption system, where the scrambling and diffusion operations are based on logistic map, logistic-sine system and 2D logistic-adjusted-sine map. The image encryption scheme is robust against the common attacks due to the nonlinear properties of diffusion and phase truncation. Numerical simulation results verify the performance and the security of the proposed double-image algorithm based on the phase-truncated multiple-parameter Fresnel transform.
Czasopismo
Rocznik
Strony
163--177
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
autor
  • Department of Energy and Power Engineering, Guangxi Electric Polytechnic Institute, Nanning 530007, China
  • Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China
autor
  • Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China
autor
  • Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China
autor
  • Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China
Bibliografia
  • [1] XIULI CHAI, KANG YANG, ZHIHUA GAN, A new chaos-based image encryption algorithm with dynamic key selection mechanisms, Multimedia Tools and Applications 76(7), 2017, pp. 9907–9927, DOI: 10.1007/s11042-016-3585-x.
  • [2] XINGYUAN WANG, XIAOQIANG ZHU, YINGQIAN ZHANG, An image encryption algorithm based on Josephus traversing and mixed chaotic map, IEEE Access 6, 2018, pp. 23733–23746, DOI: 10.1109/ACCESS.2018.2805847.
  • [3] ZHONGYUN HUA, ZHIHUA ZHU, SHUANG YI, ZHENG ZHANG, HEJIAO HUANG, Cross-plane colour image encryption using a two-dimensional logistic tent modular map, Information Sciences 546, 2021, pp. 1063–1083, DOI: 10.1016/j.ins.2020.09.032.
  • [4] SHULIANG SUN, A novel hyperchaotic image encryption scheme based on DNA encoding, pixel-level scrambling and bit-level scrambling, IEEE Photonics Journal 10(2), 2018, article 7201714, DOI: 10.1109/JPHOT.2018.2817550.
  • [5] WEI FENG, YI-GANG HE, Cryptanalysis and improvement of the hyper-chaotic image encryption scheme based on DNA encoding and scrambling, IEEE Photonics Journal 10(6), 2018, article 7909215, DOI: 10.1109/JPHOT.2018.2880590.
  • [6] MIAO ZHANG, XIAO-JUN TONG, JIE LIU, ZHU WANG, JINLONG LIU, BAOLONG LIU, JING MA, Image compression and encryption scheme based on compressive sensing and Fourier transform, IEEE Access 8, 2020, pp. 40838–40849, DOI: 10.1109/ACCESS.2020.2976798.
  • [7] XIAOYONG JI, SEN BAI, GUIBIN ZHU, BING YAN, Image encryption and compression based on the generalized knight’s tour, discrete cosine transform and chaotic maps, Multimedia Tools and Applications 76(10), 2017, pp. 12965–12979, DOI: 10.1007/s11042-016-3684-8.
  • [8] MENGMENG WANG, POUSSET Y., CARRÉ P., PERRINE C., NANRUN ZHOU, JIANHUA WU, Optical image encryption scheme based on apertured fractional Mellin transform, Optics and Laser Technology 124, 2020, article 106001, DOI: 10.1016/j.optlastec.2019.106001.
  • [9] NANRUN ZHOU, TAIJI DONG, JIANHUA WU, Novel image encryption algorithm based on multiple-parameter discrete fractional random transform, Optics Communications 283(15), 2010, pp. 3037–3042, DOI: 10.1016/j.optcom.2010.03.064.
  • [10] GUANGHUI REN, JIANAN HAN, JIAHUI FU, MINGGUANG SHAN, Asymmetric image encryption using phase-truncated discrete multiple-parameter fractional Fourier transform, Optical Review 25(6), 2018, pp. 701–707, DOI: 10.1007/s10043-018-0464-x.
  • [11] JOSHI A.B., KUMAR D., GAFFAR A., MISHRA D.C., Triple color image encryption based on 2D multiple parameter fractional discrete Fourier transform and 3D Arnold transform, Optics and Lasers in Engineering 133, 2020, article 106139, DOI: 10.1016/j.optlaseng.2020.106139.
  • [12] HUO-SHENG YE, NAN-RUN ZHOU, LI-HUA GONG, Multi-image compression-encryption scheme based on quaternion discrete fractional Hartley transform and improved pixel adaptive diffusion, Signal Processing 175, 2020, 107652, DOI: 10.1016/j.sigpro.2020.107652.
  • [13] XU-DONG CHEN, QI LIU, JUN WANG, QIONG-HUA WANG, Asymmetric encryption of multi-image based on compressed sensing and feature fusion with high quality image reconstruction, Optics and Laser Technology 107, 2018, pp. 302–312, DOI: 10.1016/j.optlastec.2018.06.016.
  • [14] XIANYE LI, XIANGFENG MENG, YURONG WANG, XIULUN YANG, YONGKAI YIN, XIANG PENG, WENQI HE, GUOYAN DONG, HONGYI CHEN, Secret shared multiple -image encryption based on row scanning compressive ghost imaging and phase retrieval in the Fresnel domain, Optics and Lasers in Engineering 96, 2017, pp. 7–16, DOI: 10.1016/j.optlaseng.2017.04.005.
  • [15] NANRUN ZHOU, HAO JIANG, LIHUA GONG, XINWEN XIE, Double-image compression and encryption algorithm based on co-sparse representation and random pixel exchanging, Optics and Lasers in Engineering 110, 2018, pp. 72–79, DOI: 10.1016/j.optlaseng.2018.05.014.
  • [16] KUNSHU WANG, XIAOJUN WU, BAOQIANG LIU, Double color images encryption based on DNA sequences and block permutation, [In] Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017), 2017, pp. 695–703, DOI: 10.2991/mecs-17.2017.129.
  • [17] AIMIN YAN, JIABIN DONG, YONGFANG LI, A novel nonlinear double image encryption based on affine transform and gyrator transform, Journal of Optics 20(11), 2018, article 115702, DOI: 10.1088/2040-8986/aae31d.
  • [18] WANG Z., BOVIK A.C., SHEIKH H.R., SIMONCELLI E.P., Image quality assessment: from error visibility to structural similarity, IEEE Transactions on Image Processing 13(4), 2004, pp. 600–612, DOI: 10.1109/TIP.2003.819861.
  • [19] YUE WU, YICONG ZHOU, SAVERIADES G., AGAIAN S., NOONAN J.P., NATARAJAN P., Local Shannon entropy measure with statistical tests for image randomness, Information Sciences 222, 2013, pp. 323–342, DOI: 10.1016/j.ins.2012.07.049.
  • [20] YUE WU, NOONAN J.P., AGAIAN S., NPCR and UACI randomness tests for image encryption, Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Telecommunications 1(2), 2011, pp. 31–38.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-53d08a7c-cad6-468d-ba65-9c5559da05c7
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