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A Lossless Data Hiding Strategy Based on Two-Dimensional Side-Match Predictions

Abstract : The histogram-based reversible data hiding scheme (RDH) generated a one-dimensional (1D) histogram distribution. In this article, based on two-dimensional (2D) histogram distribution, a framework of reversible data hiding is proposed by using two side-match predictors, called as Forward side-match (FSM) and Backward side-match (BSM). First, by considering each predicted pixel value, we use two side-match predictors to obtain two prediction error distributions. A slope meter is computed by the differencing of two distributions. Then, a two dimensional histogram is generated by composing of BSM distribution and slope meter. Based on the 2D, more specified spaces can be found to enhance the performance. The experimental results demonstrated that our proposed scheme can achieve better performance in terms of both marked image quality and embedding capacity than that of conventional works.
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https://hal.inria.fr/hal-01466225
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Chi-Yao Weng, Sheng-Jie Wang, Shiuh-Jeng Wang. A Lossless Data Hiding Strategy Based on Two-Dimensional Side-Match Predictions. 3rd International Conference on Information and Communication Technology-EurAsia (ICT-EURASIA) and 9th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Oct 2015, Daejon, South Korea. pp.235-242, ⟨10.1007/978-3-319-24315-3_24⟩. ⟨hal-01466225⟩

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