Deep-learning based watermarking framework has been extensively studied recently. The
main structure of such framework is an encoder, a noise layer and a decoder. By training …

Watermarking is the process of embedding information into an image that can survive under
distortions, while requiring the encoded image to have little or no perceptual difference with …

With the omnipresence of camera phone and digital display, capturing digitally displayed
image with camera phone are getting widely practiced. In the context of watermarking, this …

Deep-learning-based watermarking technique is being extensively studied. Most existing
approaches adopt a similar encoder-driven scheme which we name END (Encoder …

Cross-channel (eg Screen-to-Camera) robustness is an urgent requirement for modern
watermarking systems. To realize such robustness, training a network that can precisely …

In watermarking, the watermark embedding strength is crucial, and the introduction of the
strength factor can adjust the trade-off between the quality of the encoded image and the …

In this work, we present an efficient multi-bit deep image watermarking method that is cover-
agnostic yet also robust to geometric distortions such as translation and scaling as well as …

Deep learning-based digital watermarking frameworks have been widely studied recently.
Most existing methods adopt an``encoder-noise layer-decoder''-based architecture where …

In the existing deep learning-based watermarking models, extracted image features for
fusing with watermark are not abundant enough and more critically, and essential features …

At present, deep learning has achieved excellent achievements in image processing and
computer vision and is widely used in the field of watermarking. Attention mechanism, as the …