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JACIII Vol.20 No.1 pp. 163-170
doi: 10.20965/jaciii.2016.p0163
(2016)

Paper:

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Multi-Channel Quantum Image Scrambling

Fei Yan*, Yiming Guo*, Abdullah M. Iliyasu**, Zhengang Jiang*, and Huamin Yang*

*School of Computer Science and Technology, Changchun University of Science and Technology
No.7089, Weixing Road, Changchun 130022, China

**College of Engineering, Prince Sattam Bin Abdulaziz University
Al-Kharj 11942, Kingdom of Saudi Arabia

Received:
November 10, 2015
Accepted:
December 10, 2015
Online released:
January 19, 2016
Published:
January 20, 2016
Creative Commons License
Keywords:
image scrambling, quantum image, quantum computation, quantum image processing
Abstract
Image scrambling is a technique used for confidential storage and transmission as well as for image information hiding. In this study, we propose a multi-channel quantum image scrambling method, which applies both color and geometric transformations of an image. This is a simple and reliable method for transforming a meaningful quantum image into a meaningless or disordered one. We performed two simulation experiments, which demonstrated the efficiency and flexibility of the proposed method. Previous studies mainly developed scrambling strategies for grayscale quantum images, whereas the proposed method is effective for the color image scrambling in the quantum computing domain.
Cite this article as:
F. Yan, Y. Guo, A. Iliyasu, Z. Jiang, and H. Yang, “Multi-Channel Quantum Image Scrambling,” J. Adv. Comput. Intell. Intell. Inform., Vol.20 No.1, pp. 163-170, 2016.
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References
  1. [1] F. Yan, A. M. Iliyasu, and S. E. Venegas-Andraca, “A survey of quantum image representations,” Quantum information Processing, pp. 1-35, doi: 10.1007/s11128-015-1195-6, 2015.
  2. [2] S. E. Venegas-Andraca and S. Bose, “Storing, processing and retrieving an image using quantum mechanics,” Proc. of the SPIE Conf. on Quantum Information and Computation, pp. 137-147, 2003.
  3. [3] P. Q. Le, F. Dong, and K. Hirota, “A flexible representation of quantum images for polynomial preparation, image compression, and processing operations,” Quantum Information Processing, Vol.10, No.1, pp. 63-84, 2011.
  4. [4] Y. Zhang, K. Lu, Y. Gao, and M. Wang, “NEQR: a novel enhanced quantum representation of digital images,” Quantum Information Processing, Vol.12, No.12, pp. 2833-2860, 2013.
  5. [5] F. Yan, P. Q. Le, A. M. Iliyasu, B. Sun, J. Garcia, F. Dong, and K. Hirota, “Assessing the similarity of quantum images based on probability measurements,” IEEE Congresson Evolutionary Computation (CEC), pp. 1-6, 2012.
  6. [6] A. M. Iliyasu, P. Q. Le, F. Yan, B. Sun, J. Garcia, F. Dong, and K. Hirota, “A two-tier scheme for greyscale quantum image watermarking and recovery,” Int. J. of Innovative Computing and Applications, Vol.5, No.2, pp. 85-101, 2013.
  7. [7] N. Jiang, L. Wang, and W. Wu, “Quantum hilbert image scrambling,” Int. J. of Theoretical Physics, Vol.53, No.7, pp. 2463-2484, 2014.
  8. [8] N. Jiang, L. W. Wu, and L. Wang, “The quantum realization of arnold and fibonacci image scrambling,” Quantum Information Processing, Vol.13, No.5, pp. 1223-1236, 2014.
  9. [9] R. Zhou, Y. Sun, and P. Fan, “Quantum image gray-code and bit-plane scrambling,” Quantum Information Processing, Vol.14, No.5, pp. 1717-1734, 2014.
  10. [10] A. M. Iliyasu, P. Q. Le, F. Dong, and K. Hirota, “Watermarking and authentication of quantum images based on restricted geometric transformations,” Information Sciences, Vol.186, No.1, pp. 126-149, 2012.
  11. [11] A. M. Iliyasu, P. Q. Le, F. Dong, and K. Hirota, “A framework for representing and producing movies on quantum computers,” Int. J. of Quantum Information, Vol.9, No.6, pp. 1459-1497, 2011.
  12. [12] F. Yan, A. M. Iliyasu, and Z. Jiang, “Quantum computation-based image representation, processing operations and their applications,” Entropy, Vol.16, No.10, pp. 5290-5338, 2014.
  13. [13] A. M. Iliyasu, “Towards realising secure and efficient image and video processing applications on quantum computers,” Entropy, Vol.15, pp. 2874-2974, 2013.
  14. [14] B. Sun, A. M. Iliyasu, F. Yan, F. Dong, K. Hirota, “An rgb multi-channel representation for images on quantum computers,” J. of Advanced Computational Intelligence and Intelligent Informatics, Vol.17, No.3, pp. 404-417, 2013.
  15. [15] F. Yan, A. M. Iliyasu, B. Sun, S. E. Venegas-Andraca, F. Dong, and K. Hirota, “A duple watermarking strategy for multi-channel quantum images,” Quantum Information Processing, Vol.14, No.5, pp. 1675-1692, 2015.
  16. [16] F. Yan, A. M. Iliyasu, S. E. Venegas-Andraca, and H. Yang, “Video encryption and decryption on quantum computers,” Int. J. of Theoretical Physics, Vol.54, No.8, pp. 2893-2904, 2015.
  17. [17] F. Yan, Y. Guo, A. M. Iliyasu, P. Q. Le, H. Ding, Z. Jiang, and H. Yang, “An encryption strategy for multi-channel quantum images,” The 4th Int. Workshop on Advanced Computational Intelligence and Intelligent Informatics, pp. 151-156, 2015.
  18. [18] B. Sun, A. M. Iliyasu, F. Yan, J. Garcia, F. Dong, A. Al-Asmari, and K. Hirota, “Multi-channel information operations on quantum images,” J. of Advanced Computational Intelligence and Intelligent Informatics, Vol.18, No.2, pp. 140-149, 2014.
  19. [19] P. Q. Le, A. M. Iliyasu, F. Dong, and K. Hirota, “Fast geometric transformations on quantum images,” IAENG Int. J. of Applied Mathematics, Vol.40, No.3, pp. 113-123, 2010.
  20. [20] W. Zhang, F. Gao, B. Liu, Q. Wen, and H. Chen, “A watermark strategy for quantum images based onquantum fourier transform,” Quantum Information Processing, Vol.12, No.2, pp. 793-803, 2013.
  21. [21] P. Q. Le, A. M. Iliyasu, F. Dong, K. Hirota, “Strategies for designing geometric transformations on quantum images,” Theoretical Computer Science, Vol.412, No.15, pp. 1406-1418, 2011.

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