Title: REVERSIBLE DATA HIDING BASED ON STATISTICAL CORRELATION OF BLOCKED SUB-SAMPLED IMAGE

Issue Number: Vol. 1, No. 1
Year of Publication: May - 2011
Page Numbers: 52-60
Authors: Mona Nafari, Mansour Nejati Jahromi, Gholam HoseinSheisi
Journal Name: International Journal of New Computer Architectures and their Applications (IJNCAA)
- Hong Kong

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 subsampled 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 both. On various test images, we demonstrate the validity of our proposed method by comparing to other existing reversible data hiding algorithms.