Robust Image Watermarking Using RBF Neural Network

Author(s):  
Wei Lu ◽  
Hongtao Lu ◽  
Fu-Lai Chung
2018 ◽  
Vol 34 (3) ◽  
pp. 1691-1700 ◽  
Author(s):  
Mohiul Islam ◽  
Amarjit Roy ◽  
Rabul Hussain Laskar

2017 ◽  
Vol 30 (8) ◽  
pp. 2425-2440 ◽  
Author(s):  
Lin Sun ◽  
Jiucheng Xu ◽  
Shangwang Liu ◽  
Shiguang Zhang ◽  
Yuan Li ◽  
...  

2013 ◽  
Vol 10 (7) ◽  
pp. 1806-1814
Author(s):  
Poorvi Saxena ◽  
Murlidhar Vishwakarma

Digital water marking technique suffered some problem of geometrical and some other attack. The process of attack deformed the quality of digital image and violet the rule of copyright protection low. For the roughness of digital image watermarking used wavelet transform function and RBF neural network. The RBF neural network trained the pattern of digital image pixel and finally embedded the image. The processes of validation of blindness of digital image apply some geometrical attack.  Our empirical result computed in form of PSNR value and number of correlation of embedded image. Our evolution process shows better result in compression of transform based digital water marking technique.


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