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Multimedia Tools and Applications

, Volume 74, Issue 6, pp 1983–1995 | Cite as

An adaptive reversible steganographic scheme based on the just noticeable distortion

  • Chuan Qin
  • Chin-Chen Chang
  • Chia-Chun Lin
Article

Abstract

In this paper, we propose an adaptive reversible steganographic scheme based on the just noticeable distortion (JND). First, the JND value of each cover pixel is calculated using the frequency model of the human visual system (HVS). Then, the prediction value of the cover pixel is acquired by anisotropic interpolation, and also the pixel distribution characteristic is estimated. Finally, whether the cover pixel is embeddable or not is adaptively determined according to the relationship between the prediction error and the JND value. The embedding procedure is based on modifying the prediction error of each cover pixel, and the visual degradation caused by embedding is imperceptible due to the control of JND. Experimental results demonstrate that the proposed scheme provides a greater embedding rate and higher quality of stego image than other methods that have been reported recently.

Keywords

Reversible data hiding Just noticeable distortion Embedding rate Visual quality 

Notes

Acknowledgments

This work was supported by the Natural Science Foundation of China (61303203), the Natural Science Foundation of Shanghai, China (13ZR1428400), the Innovation Program of Shanghai Municipal Education Commission (14YZ087), and the OECE Innovation Foundation of USST.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and TechnologyShanghaiChina
  2. 2.Department of Information Engineering and Computer ScienceFeng Chia UniversityTaichungTaiwan
  3. 3.Department of Computer Science and Information EngineeringAsia UniversityTaichungTaiwan
  4. 4.Department of Computer Science and Information EngineeringNational Chung Cheng UniversityChiayiTaiwan

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