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http://dx.doi.org/10.3837/tiis.2014.03.023

A New Reference Pixel Prediction for Reversible Data Hiding with Reduced Location Map  

Chen, Jeanne (Department of Computer Science and Information Engineering, National Taichung University of Science and Technology)
Chen, Tung-Shou (Department of Computer Science and Information Engineering, National Taichung University of Science and Technology)
Hong, Wien (Department of Information Management, Yu Da University)
Horng, Gwoboa (Department of Computer Science and Engineering, National Chung Hsing University)
Wu, Han-Yan (Department of Computer Science, National Chiao Tung University)
Shiu, Chih-Wei (Department of Computer Science and Engineering, National Chung Hsing University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.8, no.3, 2014 , pp. 1105-1118 More about this Journal
Abstract
In this paper, a new reversible data hiding method based on a dual binary tree of embedding levels is proposed. Four neighborhood pixels in the upper, below, left and right of each pixel are used as reference pixels to estimate local complexity for deciding embeddable and non-embeddable pixels. The proposed method does not need to record pixels that might cause underflow, overflow or unsuitable for embedment. This can reduce the size of location map and release more space for payload. Experimental results show that the proposed method is more effective in increasing payload and improving image quality than some recently proposed methods.
Keywords
Data hiding; reference pixel; error energy; variance; location map;
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