Detection of LSB Matching Revisited Using Pixel Difference Feature

2013 ◽  
Vol 7 (10) ◽  
pp. 2514-2526 ◽  
Keyword(s):  
Mathematics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 8
Author(s):  
Yongjin Hu ◽  
Xiyan Li ◽  
Jun Ma

This paper analyzes random bits and scanned documents, two forms of secret data. The secret data were pre-processed by halftone, quadtree, and S-Box transformations, and the size of the scanned document was reduced by 8.11 times. A novel LSB matching algorithm with low distortion was proposed for the embedding step. The golden ratio was firstly applied to find the optimal embedding position and was used to design the matching function. Both theory and experiment have demonstrated that our study presented a good trade-off between high capacity and low distortion and is superior to other related schemes.


2009 ◽  
Vol 8 (8) ◽  
pp. 1281-1286 ◽  
Author(s):  
Jiaohua Qin ◽  
Xingming Sun ◽  
Xuyu Xiang ◽  
Zhihua Xia
Keyword(s):  

2011 ◽  
Vol 10 (8) ◽  
pp. 1601-1607 ◽  
Author(s):  
Bin Xia ◽  
Xingming Sun ◽  
Lingyun Xiang ◽  
Haijun Luo ◽  
Hengfu Yang
Keyword(s):  

Author(s):  
Kaiwei Cai ◽  
Xiaolong Li ◽  
Tieyong Zeng ◽  
Bin Yang ◽  
Xiaoqing Lu
Keyword(s):  

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