Title
ReDMark: Framework for residual diffusion watermarking based on deep networks
Abstract
•Learning new embedding patterns.•Customizing solutions for suggested transform domains and attacks.•Enhancing security and robustness by diffusing watermark in a wide area of images.
Year
DOI
Venue
2020
10.1016/j.eswa.2019.113157
Expert Systems with Applications
Keywords
Field
DocType
Blind watermarking,CNN,Data diffusion,Deep convolutional networks,FCN,Transparency
Data mining,Residual,Digital watermarking,Embedding,Convolutional neural network,Computer science,Network layer,Robustness (computer science),Watermark,Differentiable function
Journal
Volume
ISSN
Citations 
146
0957-4174
3
PageRank 
References 
Authors
0.37
0
5
Name
Order
Citations
PageRank
Mahdi Ahmadi131.72
Alireza Norouzi2122.85
Nader Karimi314532.75
Shadrokh Samavi423338.99
Ali Emami588.05