Lossless data hiding based on prediction-error adjustment

2009 ◽  
Vol 52 (2) ◽  
pp. 269-275 ◽  
Author(s):  
ShaoWei Weng ◽  
Yao Zhao ◽  
RongRong Ni ◽  
Jeng-Shyang Pan
2013 ◽  
Vol 86 (8) ◽  
pp. 2166-2173 ◽  
Author(s):  
Yongjian Hu ◽  
Kan Wang ◽  
Zhe-Ming Lu

2012 ◽  
Vol 6-7 ◽  
pp. 428-433
Author(s):  
Yan Wei Li ◽  
Mei Chen Wu ◽  
Tung Shou Chen ◽  
Wien Hong

We propose a reversible data hiding technique to improve Hong and Chen’s (2010) method. Hong and Chen divide the cover image into pixel group, and use reference pixels to predict other pixel values. Data are then embedded by modifying the prediction errors. However, when solving the overflow and underflow problems, they employ a location map to record the position of saturated pixels, and these pixels will not be used to carry data. In their method, if the image has a plenty of saturated pixels, the payload is decreased significantly because a lot of saturated pixels will not joint the embedment. We improve Hong and Chen’s method such that the saturated pixels can be used to carry data. The positions of these saturated pixels are then recorded in a location map, and the location map is embedded together with the secret data. The experimental results illustrate that the proposed method has better payload, will providing a comparable image quality.


2013 ◽  
Vol 86 (7) ◽  
pp. 1965-1975 ◽  
Author(s):  
Kan Wang ◽  
Zhe-Ming Lu ◽  
Yong-Jian Hu

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