Extensive research has been conducted on image steganography and watermarking
algorithms, owing to their crucial rules in secret data transmission, copyright protection, and …

The development of the Internet of Medical Things heavily relies on big data, and data
security based on medical images has become a growing concern in society. Digital …

This paper presents a comprehensive survey of deep learning-based image watermarking;
this technique entails the invisible embedding and extraction of watermarks within a cover …

This paper presents a comprehensive survey on deep learning-based image watermarking,
a technique that entails the invisible embedding and extraction of watermarks within a cover …

With the prevalence of electronic devices in our daily lives, content leakages frequently
occur, and to enable leakage tracing, screen-shooting resistant watermarking has attracted …

Most blind watermarking methods adopt the Encode-Noiselayer-Decoder network
architecture, called END. However, there are issues that impact the imperceptibility and …

In recent years, digital media has become a prevalent form of information exchange,
necessitating robust measures for privacy, data safety, and copyright protection. Image …

Most deep neural network (DNN) based image watermarking models often employ the
encoder-noise-decoder structure, in which watermark is simply duplicated for expansion and …

Since the copyright of the enhanced underwater image should be protected, we propose a
transformer-based collaborative network (CEWformer) for simultaneous underwater image …

Blind image watermarking is regarded as a vital technology to provide copyright of digital
images. Due to the rapid growth of deep neural networks, deep learning-based …