Abstract
Quantum image encryption is a hot research topic in recent years. In this paper, a novel quantum image encryption algorithm based on quantum key image is presented, which has low complexity than other algorithms. The quantum key image is a special quantum image which is used to store the encryption keys. The encryption keys are generated by a cryptographic algorithm, and are prepared into the gray value of the quantum key image. Based on this quantum key image, the plain image does the XOR operations with it bit by bit. The circuit of the encryption algorthm is given, and the numerical simulations and theoretical analyses are done. The proposed encryption quantum image algorithm is efficiency, and it has large key space and lower computational complexity.
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Yan, F., Iliyasu, A.M., Venegas-Andraca, S.E.: A survey of quantum image representations. Quantum Inf. Process 15(1), 1–35 (2016)
Venegas-Andraca, S.E., Bose, S.: Storing processing, and retrieving an image using quantum mechanics. Proc. SPIE - Int. Soc. Opt. Eng. 5105(8), 1085–1090 (2003)
Yuan, S., Mao, X., Xue, Y., et al.: SQR: A simple quantum representation of infrared images. Quantum Inf. Process 13(6), 1353–1379 (2014)
Venegas-Andraca, S.E., Ball, J.L.: Processing images in entangled quantum systems. Quantum Inf. Process 9(1), 1–11 (2010)
Le, P.Q., Dong, F., Hirota, K.: A flexible representation of quantum images for polynomial preparation, image compression, and processing operations. Quantum Inf. Process 10(1), 63–84 (2011)
Zhang, Y., Lu, K., Gao, Y.H., Wang, M.: NEQR: A novel enhanced quantum representation of digital images. Quantum Inf. Process. 12(12), 2833–2860 (2013)
Jiang, N., Wang, J., Mu, Y.: Quantum image scaling up based on nearest neighbor interpolation with integer scaling ratio. Quantum Inf. Process 14(11), 4001–4026 (2015)
Jiang, N., Wu, W.Y., Wang, L.: The quantum realization of Arnold and Fibonacci image scrambling. Quantum Inf. Process 13(5), 1223–1236 (2014)
Jiang, N., Wang, L.: Analysis and improvement of the quantum Arnold image scrambling. Quantum Inf. Process 13(7), 1545–1551 (2014)
Le, P.Q., Iliyasu, A.M., Dong, F., et al.: Fast geometric transformations on quantum images. IAENG Int. J. Appl. Math. 40(3), 2 (2010)
Le, P.Q., Iliyasu, A.M., Dong, F., Hirota, K.: Strategies for designing geometric transformations on quantum images. Theor. Comput. Sci. 412, 1406–1418 (2011)
Jiang, N., Wang, L., Wu, W.Y.: Quantum Hilbert image scrambling. Int. J. Theor. Phys. 53(7), 2463–2484 (2014)
Jiang, N., Lu, X.W., Hu, H., Dang, Y.J., Cai, Y.Q.: A novel quantum image compression method based on JPEG. Int. J. Theor. Phys. 57(3), 611–636 (2018)
Song, X.H., Niu, X.M.: Comment on: Novel image encryption/decryption based on quantum Fourier transform and double phase encoding. Quantum Inf. Process 13(6), 1301–1304 (2014)
Tan, R.C., Lei, T., Zhao, Q.M., et al.: Quantum color image encryption algorithm based on a hyper-chaotic system and quantum fourier transform. Int. J. Theor. Phys. 55, 1–17 (2016)
Ashutosh, S.D.: Robust technique for image encryption and decryption using discrete fractional fourier transform with random phase masking. Procedia Technol. 10(1), 707–714 (2013)
Li, J., Parchatka, U., Fischer, H.: Applications of wavelet transform to quantum cascade laser spectrometer for atmospheric trace gas measurements. Appl. Phys. B 108(4), 951–963 (2012)
Hua, T., Chen, J., Pei, D., et al.: Quantum image encryption algorithm based on image correlation decomposition. Int. J. Theor. Phys. 54(2), 526–537 (2015)
Zhou, N.R., Hua, T.X., Gong, L.H., et al.: Quantum image encryption based on generalized Arnold transform and double random-phase encoding. Quantum Inf. Process 14(4), 1193–1213 (2015)
Zhou, R.G., Wu, Q., Zhang, M.Q., Shen, C.Y.: Quantum image encryption and decryption algorithms based on quantum image geometric transformations. Int. J. Theor. Phys. 52(6), 1802–1817 (2013)
Wang, S., Song, X.H., Niu, X.M.: A novel encryption algorithm for quantum images based on quantum wavelet transform and diffusion. Intelligent Data analysis and its Applications, Volume II 298, 243–250 (2014)
Yan, F., Iliyasu, A.M., Venegas-Andraca, S.E., Yang, H.M.: Video encryption and decryption on quantum computers. Int. J. Theor. Phys. 54(8), 2893–2904 (2015)
Wang, H., Wang, J., Geng, Y.C., et al.: Quantum image encryption based on iterative framework of frequency-spatial domain transforms. Int. J. Theor. Phys. 56 (10), 3029–3049 (2017)
Gong, L.H., He, X.T., Cheng, S., et al.: Quantum image incryption algorithm based on quantum image XOR operations. Int. J. Theor. Phys. 55(7), 3234–3250 (2016)
Yan, F, Iliyasu, A.M., Le, P.Q., et al.: Quantum image processing: A review of advances in its security technologies. Int. J. Quantum Inf. 15(3), 1730001 (2017)
Heys, H.M.: Analysis of the statistical cipher feedback mode of block ciphers. IEEE Trans. Comput. 52(1), 77–92 (2003)
Ahmad, J., Ahmed, F.: Security evaluation of image encryption schemes. Int. J. Video Efficiency Anal. Image Process. Netw. Sec. 12(4), 18–31 (2012)
Elashry, I., Allah, O., Abbas, A., El-Rabaie, S., El-Samie, F.: Homomorphic image encryption. J. Electron. Imaging 18, 033002 (2009)
Abd EI-Latif, A.A., Niu, X.M., Amin, M.: A new image cipher in time and frequency domains. Opt. Commun. 285, 4241–4251 (2012)
Shende, V.V., Markov, I.L.: On the CNOT-cost of TOFFOLI gates. Quantum Inf. Comput. 9(5), 461–486 (2008)
Liang, H.R., Tao, X.Y., Zhou, N.R.: Quantum image encryption based on generalized affine transform and logistic map. Quantum Inf. Process 15(7), 2701–2724 (2016)
Acknowledgements
This work is supported by the Foundation of Science and Technology on Information Assurance Laboratory (No. KJ-15-004). Both authors thank the reviewer for his pertinent comments.
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Wang, J., Geng, YC., Han, L. et al. Quantum Image Encryption Algorithm Based on Quantum Key Image. Int J Theor Phys 58, 308–322 (2019). https://doi.org/10.1007/s10773-018-3932-y
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DOI: https://doi.org/10.1007/s10773-018-3932-y