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Multimedia Tools and Applications

, Volume 77, Issue 12, pp 15851–15873 | Cite as

Color image encryption in non-RGB color spaces

  • Xin Jin
  • Sui Yin
  • Ningning Liu
  • Xiaodong Li
  • Geng Zhao
  • Shiming Ge
Article

Abstract

To protect the contents of images in the mobile internet era during image storage and transmission, image encryption has achieved a tremendous success during the last decades. Traditional color image encryption method often use the RGB color space. We have the observation that in non-RGB color spaces, the luminance channels often contain more information for content recognition than the chroma channels do. Thus, in this paper we propose to use high level encryption schemes in more informative channels and low level encryption schemes in less informative channels. The 2D Arnold’s cat map followed by the 3D Lu chaotic map are conducted in the luminance channel. The less complicated DNA coding and 1D logistic map based encryption scheme is leveraged in the chroma channels. We use this strategies in 4 typical non-RGB color spaces, i.e., YCbCr, YIQ, HSV, L*a*b*. We evaluate and compare the performances and the time consumptions of the methods in the 4 Non-RGB color spaces. The experimental results reveal that the encryption methods in Non-RGB color spaces can achieve similar results as the method that conducts the same encryption level in each channel of the RBG color space, including the resistance to several attacks such as brute-force attack, statistic attack, correlation attack, while consuming less time. The method in YCbCr color space performances the best in the time consumption.

Keywords

Color image encryption Non-RGB Color space Security attack 

Notes

Acknowledgments

We thank all the reviewers and editors. This work is partially supported by the National Natural Science Foundation of China (Grant NO. 61402021, 61401228, 61640216), the Science and Technology Project of the State Archives Administrator (Grant NO. 2015-B-10), the open funding project of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University (Grant NO. BUAA-VR-16KF-09), the Fundamental Research Funds for the Central Universities (Grant NO. 2016LG03, 2016LG04), the China Postdoctoral Science Foundation (Grant NO. 2015M581841), and the Postdoctoral Science Foundation of Jiangsu Province (Grant NO. 1501019A).

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  • Xin Jin
    • 1
  • Sui Yin
    • 1
  • Ningning Liu
    • 2
  • Xiaodong Li
    • 1
  • Geng Zhao
    • 1
  • Shiming Ge
    • 3
  1. 1.Beijing Electronic Science and Technology InstituteBeijingPeople’s Republic of China
  2. 2.University of International Business and Economics, School of Information Technology and ManagementBeijingPeople’s Republic of China
  3. 3.Institute of Information EngineeringChinese Academy of SciencesBeijingPeople’s Republic of China

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