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A Strategy of Distinguishing Texture Feature for Reversible Data Hiding Based on Histogram Shifting

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Digital Forensics and Watermarking (IWDW 2018)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11378))

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Abstract

Reversible data hiding has received growing attention, which not only protects the secret information but also can recover the cover image accurately. Many algorithms have aimed at embedding capacity and rarely consider the texture features of spatial images. In this paper, to better improve the image quality, a novel strategy of distinguishing texture feature for reversible data hiding based on histogram shifting is proposed. Firstly, the cover image is separated into blocks of the equal size, and the texture feature value of blocks is calculated. Then, the relatively smooth blocks are selected for information embedding. Experimental results show that our method can improve image quality effectively.

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Acknowledgements

This research work is partly supported by National Natural Science Foundation of China (61502009, 61872003, U1536109), Foundation of China Scholarship Council (201706505004).

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Authors and Affiliations

  1. Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei, 230601, People’s Republic of China

    Yinyin Peng & Zhaoxia Yin

  2. Department of Computer Science, Purdue University, West lafayette, 47906, USA

    Zhaoxia Yin

Authors
  1. Yinyin Peng
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  2. Zhaoxia Yin
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Corresponding author

Correspondence to Zhaoxia Yin .

Editor information

Editors and Affiliations

  1. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Chang D. Yoo

  2. New Jersey Institute of Technology, Newark, NJ, USA

    Yun-Qing Shi

  3. Korea University, Seoul, Korea (Republic of)

    Hyoung Joong Kim

  4. University of Florence, Florence, Italy

    Alessandro Piva

  5. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Gwangsu Kim

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Peng, Y., Yin, Z. (2019). A Strategy of Distinguishing Texture Feature for Reversible Data Hiding Based on Histogram Shifting. In: Yoo, C., Shi, YQ., Kim, H., Piva, A., Kim, G. (eds) Digital Forensics and Watermarking. IWDW 2018. Lecture Notes in Computer Science(), vol 11378. Springer, Cham. https://doi.org/10.1007/978-3-030-11389-6_16

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  • DOI: https://doi.org/10.1007/978-3-030-11389-6_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11388-9

  • Online ISBN: 978-3-030-11389-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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