Paper Info
Title
A novel CNN based security guaranteed image watermarking generation scenario for smart city applications.
Abstract
The rise of machine learning increases the current computing capabilities and paves the way to novel disruptive applications. In the current era of big data, the application of image retrieval technology for large-scale data is a popular research area. To ensure the robustness and security of digital image watermarking, we propose a novel algorithm using synergetic neural networks. The algorithm first processes a meaningful gray watermark image, then embeds it as a watermark signal into the block Discrete Cosine Transform (DCT) component. The companion algorithm for detection and extraction of the watermark uses a cooperative neural network, where the suspected watermark signal is used as the input while the output consists in the result of the recognition process. The simulation experiments show that the algorithm can complete certain image processing operations with improved performance, not only simultaneously completing watermark detection and extraction, but also efficiently determining the watermark attribution. Compared with other state-of-the-art models, the proposed model obtains an optimal Peak Signal-to-noise ratio (PSNR).
Year
DOI
Venue
2019
10.1016/j.ins.2018.02.060
Information Sciences
Keywords
Field
DocType
Convolutional neural network,Image watermark,Generation scenario,Algorithm design,Smart cities
Computer vision,Digital watermarking,Discrete cosine transform,Image processing,Image retrieval,Robustness (computer science),Watermark,Artificial intelligence,Artificial neural network,Big data,Mathematics,Machine learning
Journal
Volume
ISSN
Citations 
479
0020-0255
19
PageRank 
References 
Authors
0.76
25
5
Name
Order
Citations
PageRank
Daming Li1264.03
Lianbing Deng2426.33
Brij Bhooshan Gupta31569.95
Haoxiang Wang427615.25
Chang Choi526139.04