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Information Technology Journal
  Year: 2014 | Volume: 13 | Issue: 15 | Page No.: 2374-2384
DOI: 10.3923/itj.2014.2374.2384
 
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A Reversible Data Hiding Method Using Improved Neighbor Mean Interpolation and Random-Block Division
Ling Liu, Tungshou Chen, Shunzhi Zhu, Weidong Hong and Xin Si

Abstract:
This study proposes a novel data-hiding method based on an improved neighbor mean interpolation and random-block division. The basic idea of the proposed method is to use the proposed neighbor mean interpolation as the scaling-up strategy and to make full use of the correlation between neighboring pixels to increase the payload without sacrificing much distortion for data hiding. Moreover, the random-block division technique is adopted to increase the security of data hiding method under the detection of a statistical steganalysis tool. Experimental results showed that our proposed method can obtain a large embedding capacity while maintaining high visual quality image and undetectability. Compared with another similar work, the PSNR is guaranteed to be higher than 34 dB which maintained a maximum capacity increase of 22.5-36.5%. Also, the undetectabilty can be improved by a maximum of 33.66%.
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How to cite this article:

Ling Liu, Tungshou Chen, Shunzhi Zhu, Weidong Hong and Xin Si, 2014. A Reversible Data Hiding Method Using Improved Neighbor Mean Interpolation and Random-Block Division. Information Technology Journal, 13: 2374-2384.

DOI: 10.3923/itj.2014.2374.2384

URL: https://scialert.net/abstract/?doi=itj.2014.2374.2384

 
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