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Clarity Corresponding to Contrast in Visual Cryptography

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Social Computing (ICYCSEE 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 623))

Abstract

The visual quality of the recovered secret image is usually evaluated by contrast in visual cryptography (VC). Precisely, the reconstructed secret image can be recognized as the original secret image when contrast is greater than zero. It is important for the user to know the clarity of the revealed secret image corresponding to different contrast values. In this paper, the clarity corresponding to contrast is investigated through conducting subjective evaluation scores and objective evaluation indexes, which can be extended to general applications.

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Acknowledgement

The authors wish to thank the volunteers for their help. The authors wish to thank Dr. Xianhua Song and Dr. Jianzhi Sang for their suggestions to improve this paper.

Author information

Authors and Affiliations

  1. Hefei Electronic Engineering Institute, Hefei, 230037, China

    Xuehu Yan, Yuliang Lu, Hui Huang, Lintao Liu & Song Wan

Authors
  1. Xuehu Yan
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  2. Yuliang Lu
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  3. Hui Huang
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  4. Lintao Liu
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  5. Song Wan
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Corresponding author

Correspondence to Xuehu Yan .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology , Harbin, China

    Wanxiang Che

  2. Harbin Engineering University , Harbin, China

    Qilong Han

  3. Harbin Institute of Technology , Harbin, China

    Hongzhi Wang

  4. Northeast Forestry University , Harbin, China

    Weipeng Jing

  5. National University of Defense Technology , Changsha, China

    Shaoliang Peng

  6. Harbin Engineering University , Harbin, China

    Junyu Lin

  7. Harbin Univ. of Science and Technology , Harbin, China

    Guanglu Sun

  8. Harbin Univ. of Science and Technology , Harbin, China

    Xianhua Song

  9. Harbin Engineering University , Harbin, China

    Hongtao Song

  10. Harbin Sea of Clouds & Computer Tech. , Harbin, China

    Zeguang Lu

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© 2016 Springer Science+Business Media Singapore

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Yan, X., Lu, Y., Huang, H., Liu, L., Wan, S. (2016). Clarity Corresponding to Contrast in Visual Cryptography. In: Che, W., et al. Social Computing. ICYCSEE 2016. Communications in Computer and Information Science, vol 623. Springer, Singapore. https://doi.org/10.1007/978-981-10-2053-7_23

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  • DOI: https://doi.org/10.1007/978-981-10-2053-7_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2052-0

  • Online ISBN: 978-981-10-2053-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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