Rotation Invariant Local Binary Pattern for Blind Detection of Copy-Move Forgery with Affine Transform

Author(s):  
Pei Yang ◽  
Gaobo Yang ◽  
Dengyong Zhang
2021 ◽  
Vol 13 (12) ◽  
pp. 2328
Author(s):  
Yameng Hong ◽  
Chengcai Leng ◽  
Xinyue Zhang ◽  
Zhao Pei ◽  
Irene Cheng ◽  
...  

Image registration has always been an important research topic. This paper proposes a novel method of constructing descriptors called the histogram of oriented local binary pattern descriptor (HOLBP) for fast and robust matching. There are three new components in our algorithm. First, we redefined the gradient and angle calculation template to make it more sensitive to edge information. Second, we proposed a new construction method of the HOLBP descriptor and improved the traditional local binary pattern (LBP) computation template. Third, the principle of uniform rotation-invariant LBP was applied to add 10-dimensional gradient direction information to form a 138-dimension HOLBP descriptor vector. The experimental results showed that our method is very stable in terms of accuracy and computational time for different test images.


2012 ◽  
Vol 21 (4) ◽  
pp. 1465-1477 ◽  
Author(s):  
Guoying Zhao ◽  
T. Ahonen ◽  
J. Matas ◽  
M. Pietikainen

2015 ◽  
Vol 111 ◽  
pp. 274-293 ◽  
Author(s):  
Reza Davarzani ◽  
Saeed Mozaffari ◽  
Khashayar Yaghmaie

2017 ◽  
Vol 88 ◽  
pp. 238-248 ◽  
Author(s):  
Zhibin Pan ◽  
Zhengyi Li ◽  
Hongcheng Fan ◽  
Xiuquan Wu

2015 ◽  
Vol 43 ◽  
pp. 16-26 ◽  
Author(s):  
Xianbiao Qi ◽  
Linlin Shen ◽  
Guoying Zhao ◽  
Qingquan Li ◽  
Matti Pietikäinen

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