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International Workshop on Digital Watermarking

IWDW 2017: Digital Forensics and Watermarking pp 347–361Cite as

A Blind Reversible Data Hiding Method for High Dynamic Range Images Taking Advantage of Sparse Histogram

Part of the Lecture Notes in Computer Science book series (LNSC,volume 10431)

Abstract

This paper proposes a method of reversible data hiding (RDH) for high dynamic range (HDR) images. An RDH method once distorts an image to hide data to the image, and the method takes data out and simultaneously recovers the original image without any distortion from the distorted image carrying hidden data. Whereas conventional RDH methods are for ordinary images whose pixel values are uniformly quantized integers, the proposed method focuses HDR images whose pixel values are non-uniformly quantized floating-point numbers. HDR images have a sparse histogram, i.e., many zero points are scattered over the tonal distribution of images, and the method modifies multiple peak and zero points of the histogram to hide data to an image. In addition, while an RDH method generally needs to memorize a set of image-dependent parameters for hidden data extraction and original image recovery, the proposed method is free from parameter memorization by introducing two mechanisms; restriction of histogram modification and a parameter hiding prior to data hiding. Moreover, keys are required to take hidden data out in the proposed method. Experimental results show the effectiveness of the proposed method.

Keywords

  • Digital watermarking
  • Steganography
  • Annotation

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Notes

  1. 1.

    The HDR-VDP-2 consists of five metrics; a pixel-by-pixel noticeable probability map, a summarized noticeable probability value, a contrast threshold scaling map, and the maximum threshold scaling factor, and the whole image quality. Values in Table 3 are the last metrics.

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Acknowledgment

This work has been partly supported by JSPS KAKENHI Grant Number JP15K00156.

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Authors and Affiliations

  1. Department of Information and Communication Systems, Tokyo Metropolitan University, 6–6 Asahigaoka, Hino-shi, Tokyo, 191–0065, Japan

    Masaaki Fujiyoshi & Hitoshi Kiya

Authors
  1. Masaaki Fujiyoshi
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  2. Hitoshi Kiya
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Corresponding authors

Correspondence to Masaaki Fujiyoshi or Hitoshi Kiya .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany

    Christian Kraetzer

  2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA

    Yun-Qing Shi

  3. Department of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany

    Prof. Dr. Jana Dittmann

  4. Graduate School Information Security, Korea University, Seoul, Korea (Republic of)

    Hyoung Joong Kim

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Fujiyoshi, M., Kiya, H. (2017). A Blind Reversible Data Hiding Method for High Dynamic Range Images Taking Advantage of Sparse Histogram. In: Kraetzer, C., Shi, YQ., Dittmann, J., Kim, H. (eds) Digital Forensics and Watermarking. IWDW 2017. Lecture Notes in Computer Science(), vol 10431. Springer, Cham. https://doi.org/10.1007/978-3-319-64185-0_26

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  • DOI: https://doi.org/10.1007/978-3-319-64185-0_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64184-3

  • Online ISBN: 978-3-319-64185-0

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