Reversible Data Hiding Based on Statistical Correlation of Blocked Sub-Sampled Image

Reversible Data Hiding Based on Statistical Correlation of Blocked Sub-Sampled Image

Mona Nafari (Razi University of Kermanshah, Iran), Mansour Nejati Jahromi (Azad University South Branch and Aeronautical College, Iran) and Gholam Hosein Sheisi (Razi University of Kermanshah, Iran)
Copyright: © 2012 |Pages: 18
DOI: 10.4018/ijcvip.2012010103
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Abstract

In this paper, a reversible data hiding scheme has been proposed which is based on correlation of subsample images. The proposed method modifies the blocks of sub-sampled image to prepare vacant positions for data embedding. The PSNR of the stego image produced by the proposed method is guaranteed to be above 47.5 dB, while the embedding capacity is at least, almost 6.5 times higher than that of the Kim et al. techniques with the same PSNR. This technique has the capability to control the capacity-PSNR. Experimental results support that the proposed method exploits the correlation of blocked sub-sampled image outperforms the prior works in terms of larger capacity and stego image quality. On various test images, the authors demonstrate the validity of the proposed method by comparing it with other existing reversible data hiding algorithms.
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2. Data Hiding Using Subsampled Images

Kim et al (2009) proposed a reversible data hiding method which modifies the difference histogram between sub-sampled images. In their scheme, embedding procedure is executed after sub-sampling. Sub-sampling is the process of selecting units from an image. Suppose an image of size pixels denoted by where and.

Two sampling factorsand, set the desired sub-sampling intervals in row and column direction respectively. As illustrated in Figure 1, the 2-D image is sampled in uniform intervals. Each sub-sampled image of size is obtained by equation (1) as follows:

(1)

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