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Reversible data hiding using side-match predictions on steganographic images

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Abstract

Information hiding is an important method to achieve multi-media security. Recently, many researchers have paid attention to the reversible data hiding scheme, which can completely recover original multi-media files after the embedded data are extracted. In this paper, a side-match approach is proposed to achieve more capacity in histogram-based reversible data hiding for grayscale images. The histogram is created by exploiting the difference in all the values between pixels and their predictedive values. Experimental results show that our method is capable of providing a great embedding capacity without causing noticeable distortion. In one-level hiding, where it has the best capacity, our method conserves image qualities larger than 48 dB. Furthermore, in multilevel hiding, a rotation strategy is proposed to further improve image qualities. Experimental results show that our method performs better than other existing methods in multilevel hiding cases.

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Acknowledgement

This research was partially supported by the National Science Council of the Republic of China under the Grants NSC 98-2221-E-015-001-MY3, NSC 100-2221-E-015 -001 -MY2, and NSC 99-2918-I-015-001. We are also indebted to Prof. C.H. Yang for the discussions in the revised version toward a better quality presentation.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Central University, Jhongli, 320, Taiwan

    Fu-Hau Hsu & Min-Hao Wu

  2. Department of Information Management, Central Police University, Taoyuan, 333, Taiwan

    Shiuh-Jeng Wang

Authors
  1. Fu-Hau Hsu
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  2. Min-Hao Wu
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  3. Shiuh-Jeng Wang
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Correspondence to Shiuh-Jeng Wang.

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Hsu, FH., Wu, MH. & Wang, SJ. Reversible data hiding using side-match predictions on steganographic images. Multimed Tools Appl 67, 571–591 (2013). https://doi.org/10.1007/s11042-012-1047-7

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