NN|based embedment of watermark in end|to|end image compression

NN-based embedment of watermark in end-to-end image compression

Main target of Watermark embedding network is high invisibility between input host image and watermark embedded image. On the other hand, end-to ...

NN-based embedment of watermark in end-to-end image compression

This paper proposes a method of embedding and extracting watermark in end-to-end (E2E) image compression that is an emerging image compression framework.

NN-based embedment of watermark in end-to-end image compression

A NN-based watermarking algorithm for end-to-end image coding that shows an average BD-rate gain of 8.07% and bit error rate (BER) of watermark is improved ...

NN-based embedment of watermark in end-to-end image ...

(DOI: 10.1117/12.2667014) This paper proposes a method of embedding and extracting watermark in end-to-end (E2E) image compression that is an emerging image ...

A Neural-Network-Based Watermarking Method Approximating ...

... image because the watermark is embedded in these coefficients of the image. Figure 1 shows the quantization process in JPEG compression for DCT coefficients [16] ...

Watermarking Neural Networks With Watermarked Images

... neural network must contain a certain watermark ... We demonstrate that this technique is effective and robust on a variety of image processing ...

Watermarking Deep Neural Networks for Embedded Systems

We demonstrate an example implementation of the framework on popular image classi cation datasets and show that strong watermarks can be embedded in the models.

Publication type: Conference Proceeding - Marketplace

Publication Results. NN-based embedment of watermark in end-to-end image compression. Publication type: Conference Proceeding.

A Robust Image Watermarking System Based on Deep Neural ...

robustness by embedding the watermark into image histogram. Incorporating ... distortions in image-processing attacks and obtaining a lower. BER under ...

Embedded Watermark - an overview | ScienceDirect Topics

In recent years, watermark embedding using neural networks has become an important direction in the development of image watermarking schemes. Some researchers ...

Convolutional Neural Network-Based Digital Image Watermarking ...

It is a convolutional neural network (CNN)-based scheme that consists of pre-processing networks for both host image and watermark, a watermark ...

A Survey of DNN-Based Image Watermarking - ACM Digital Library

Contents. ICCIP '23: Proceedings of the 2023 9th International Conference on Communication and Information Processing. A Survey of DNN-Based ...

Multi-bit Black-box Watermarking of Deep Neural Networks in ...

Multi-bit, Black-box Watermarking of Deep Neural Networks in Embedded ... defense for image-processing neural network watermarking. arXiv preprint ...

A Transformer-based invertible neural network for robust image ...

[11] proposed an end-to-end watermarking network model, namely HiDDeN, which adopted the encoder-noise-decoder (END) architecture. Watermark was embedded into ...

Model Watermarking for Image Processing Networks

Specifically, we can first generate a large scale of input- output training pairs based on the target model then directly train the surrogate model in a ...

The digital watermarking technology based on neural networks

(1)The first stage is watermark signal pre-processing. The watermark signal created using binary gray images is taken the highly nonlinear processing by the ...

A robust watermarking algorithm against JPEG compression based ...

As the De-End [22] method focuses on image quality ... embedding in the encoded image, and thus enhances the watermark extraction accuracy.

VIDEO WATERMARKING BASED ON NEURAL NETWORKS - CECS

A neural network is given to memorize the relationships between coefficients in a 3x3 block of the image. Experimental results show that embedding watermark ...

An Image Compression Based Technique to Watermark a Neural ...

Throughout the neural networks, we also describe specifications, embedded conditions, and attack forms of watermarking. The technique presented ...

ItoV: Efficiently Adapting Deep Learning-based Image Watermarking ...

The primary goal of deep learning-based video watermarking is to develop an end-to-end trainable architecture that demonstrates a notable level ...