A novel CNN based security guaranteed image watermarking generation scenario for smart city applications

D Li, L Deng, BB Gupta, H Wang, C Choi - Information Sciences, 2019 - Elsevier
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 …

An automated and robust image watermarking scheme based on deep neural networks

X Zhong, PC Huang, S Mastorakis… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Digital image watermarking is the process of embedding and extracting a watermark covertly
on a cover-image. To dynamically adapt image watermarking algorithms, deep learning …

Convolutional neural network-based digital image watermarking adaptive to the resolution of image and watermark

JE Lee, YH Seo, DW Kim - Applied Sciences, 2020 - mdpi.com
Digital watermarking has been widely studied as a method of protecting the intellectual
property rights of digital images, which are high value-added contents. Recently, studies …

A generalized deep neural network approach for digital watermarking analysis

W Ding, Y Ming, Z Cao, CT Lin - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Technology advancement has facilitated digital content, such as images, being acquired in
large volumes. However, requirement from the privacy or legislation perspective still …

Screen-shooting resistant image watermarking based on lightweight neural network in frequency domain

F Cao, T Wang, D Guo, J Li, C Qin - Journal of Visual Communication and …, 2023 - Elsevier
Currently, digital mobile devices, especially smartphones, can be used to acquire
information conveniently through photograph taking. To protect information security in this …

A fast and efficient image watermarking scheme based on deep neural network

S Mellimi, V Rajput, IA Ansari, CW Ahn - Pattern Recognition Letters, 2021 - Elsevier
In this work, a robust image watermarking method is proposed based on the LWT (lifting
wavelet transform) and DNN (Deep Neural Network). Watermark embedding uses wavelet …

Exploring the learning capabilities of convolutional neural networks for robust image watermarking

H Kandi, D Mishra, SRKS Gorthi - Computers & Security, 2017 - Elsevier
Existing techniques of watermarking make use of transform domain to have better
robustness towards attacks. Here, we propose a novel learning based auto-encoder …

Light weight CNN based robust image watermarking scheme for security

R Dhaya - Journal of information technology and digital world, 2021 - irojournals.com
In recent years, digital watermarking has improved the accuracy and resistance of
watermarked images against many assaults, such as various noises and random dosage …

Hybrid optimisation-based robust watermarking using denoising convolutional neural network

DK Mahto, A Anand, AK Singh - Soft Computing, 2022 - Springer
Colour images have been widely used in many aspects of life; however, copyright violation
issues related to these images motivate research efforts. This paper aims to develop an …

Digital watermarking based on neural networks for color images

PT Yu, HH Tsai, JS Lin - Signal processing, 2001 - Elsevier
In this paper, we propose a novel digital watermarking technique based on neural networks
for color images. Our technique hides an invisible watermark into a color image, and then …