High Performance Reversible Data Hiding for Mobile Applications and Human Interaction

Fong-Hao Liu, Hsiang-Fu Lo, Chun-Te Su, Lou Der-Chyuan and Wei-Tsong Lee
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Fong-Hao Liu: Department of Information Management, Management College, National Defense University, Taipei City, Taiwan
Hsiang-Fu Lo: Department of Electrical Engineering, TamKang University, New Taipei City, Taiwan
Chun-Te Su: Department of Information Management, Management College, National Defense University, Taipei City, Taiwan
Lou Der-Chyuan: Department of Computer Science and Information Engineering, Chang Gung University, Tao-Yuan City, Taiwan
Wei-Tsong Lee: Department of Electrical Engineering, TamKang University, New Taipei City, Taiwan

International Journal of Technology and Human Interaction (IJTHI), 2013, vol. 9, issue 4, 41-57

Abstract: Reversible data hiding with predictive error-based difference expansion to conceal personal and sensitive information in mobile applications and human interaction activities through hand-held devices recently has drawn lots of interest. It can not only completely restore the original image after extraction, but also keep the protected privacy information imperceptible against the eavesdroppers. A reversible data hiding method based on prediction-error and pixel-value difference was proposed in this paper. The suitable situations for reversible algorithms and embedded value are selected depended on the differences between image regions and the characteristics of embedded data. Experimental results show that our proposed scheme provides a 57956 bits (0.24 ppb) hiding capacity and a 53.81dB PSNR on F16 image without generating noticeable visual artifacts. The proposed method is additionally applied with different predictors.

Date: 2013
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