• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 54 Issue 2
Jun.  2019
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Article Contents
ZHANG Jian, HUO Da. Quantum Colour Image Encryption Algorithm Based on Chaotic Systems[J]. Journal of Southwest Jiaotong University, 2019, 54(2): 421-427. doi: 10.3969/j.issn.0258-2724.20170443
Citation: ZHANG Jian, HUO Da. Quantum Colour Image Encryption Algorithm Based on Chaotic Systems[J]. Journal of Southwest Jiaotong University, 2019, 54(2): 421-427. doi: 10.3969/j.issn.0258-2724.20170443

Quantum Colour Image Encryption Algorithm Based on Chaotic Systems

doi: 10.3969/j.issn.0258-2724.20170443
  • Received Date: 06 Jun 2017
  • Rev Recd Date: 15 Jan 2018
  • Available Online: 14 Jan 2019
  • Publish Date: 01 Apr 2019
  • To enhance the security of image data, the incorporation of a chaotic system with quantum image encryption was proposed. Bitwise XOR operation was performed on a test image by applying the Chen chaotic system, and the obtained colour image was expressed as a quantum superposition state. The unitary matrix generated by the logistic chaotic sequence was then employed for scrambling the quantum image. In addition, to achieve the objective of quantum image encryption, another chaotic sequence was generated for randomly interchanging the red, green, and blue colour components of each pixel in the quantum image. Results obtained from simulation experiments conducted on a classical computer demonstrate that the grey histogram of the encrypted image is smooth, and the pixel intensity range is distributed uniformly between the values of 0 to 255. The correlation between adjacent pixels is found to be low, with the correlation coefficient values being 0.001 6, 0.001 7, and 0.003 8 for the red, green, and blue channels, respectively. Furthermore, the high key sensitivity of the proposed algorithm can effectively resist high intensity, exhaustive, and statistical attacks. Hence, the proposed algorithm can feasibly provide the required security for image data.

     

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