scholarly journals Light Weight CNN based Robust Image Watermarking Scheme for Security

2021 ◽  
Vol 3 (2) ◽  
pp. 118-132
Author(s):  
Dhaya R.
Keyword(s):  
Digital Watermarking ◽  
Research Study ◽  
Image Watermarking ◽  
Research Work ◽  
Light Weight ◽  
Calculation Time ◽  
Geometric Type ◽  
Robust Image ◽  
Difficult Challenge ◽  
Watermarking Scheme

In recent years, digital watermarking has improved the accuracy and resistance of watermarked images against many assaults, such as various noises and random dosage characteristics. Because, based on the most recent assault, all existing watermarking research techniques have an acceptable level of resistance. The deep learning approach is one of the most remarkable methods for guaranteeing maximal resistance in the watermarking system's digital image processing. In the digital watermarking technique, a smaller amount of calculation time with high robustness has recently become a difficult challenge. In this research study, the light weight convolution neural network (LW-CNN) technique is introduced and implemented for the digital watermarking scheme, which has more resilience than any other standard approaches. Because of the LW-CNN framework's feature selection, the calculation time has been reduced. Furthermore, we have demonstrated the robustness of two distinct assaults, collusion and geometric type. This research work has reduced the calculation time and made the system more resistant to current assaults.

A New Robust Color Image Watermarking Based on DWT and DRT

2013 ◽  
Vol 278-280 ◽  
pp. 1366-1373 ◽  
Author(s):  
Zi Teng ◽  
Xiu Feng Qiu ◽  
Jian Wei Liu
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Color Image ◽  
Image Watermarking ◽  
Discrete Wavelet ◽  
Color Image Watermarking ◽  
Ridgelet Transform ◽  
Color Image Watermark ◽  
Robust Image ◽  
Watermarking Scheme

The copyright protection of multimedia information is more and more important in the digital age, digital watermarking is a solution to address the topic. This paper proposes a new robust image watermarking scheme based on discrete ridgelet transform (DRT) and discrete wavelet transform (DWT). The scheme respectively embeds a copy of color image watermark into DWT domain and DRT domain, and uses a conception of semi-watermark. Experiment results demonstrate that the watermark can resist various attacks such as adding Gaussian or Union Distribution Noise, JPEG compression, brightness adjustment, contrast adjustment, altering color balance, lens blur, zooming in or out, cropping and some combined attacks etc.

A robust image watermarking scheme in DCT domain based on adaptive texture direction quantization

2018 ◽  
Vol 78 (7) ◽  
pp. 8075-8089 ◽  
Author(s):  
Han Fang ◽  
Hang Zhou ◽  
Zehua Ma ◽  
Weiming Zhang ◽  
Nenghai Yu
Keyword(s):  
Image Watermarking ◽  
Dct Domain ◽  
Robust Image ◽  
Watermarking Scheme

Watermarking Techniques for DRM Applications

2009 ◽  
pp. 71-100
Author(s):  
Alessandro Piva ◽  
Roberto Caldelli ◽  
Alessia De Rosa ◽  
Mauro Barni ◽  
Vito Cappellini
Keyword(s):  
Digital Watermarking ◽  
Digital Image ◽  
Spread Spectrum ◽  
Image Watermarking ◽  
Mathematical Formulation ◽  
Multimedia Content ◽  
Practical Implementation ◽  
Digital Image Watermarking ◽  
Spread Spectrum Watermarking ◽  
Watermarking Scheme

The need to safeguard the property rights of multimedia content from unauthorized copying and the possibility to determine the true owners of the asset can be faced by resorting to efficient digital watermarking systems. This chapter presents a mathematical formulation to define a digital watermarking system and describes the general requirements to be satisfied, with more emphasis given to the aspects of security, robustness, and imperceptibility. After this general discussion, the two main classes of digital watermarking schemes, namely the spread-spectrum watermarking and the side-informed watermarking are explained by highlighting their main advantages and drawbacks. This analysis is completed by the description of a practical implementation of a digital image watermarking scheme. Finally, the use of watermarking systems in the framework of a DRM is deeply analyzed.

scholarly journals Screen-Cam Robust Image Watermarking with Feature-Based Synchronization

2020 ◽  
Vol 10 (21) ◽  
pp. 7494
Author(s):  
Weitong Chen ◽  
Na Ren ◽  
Changqing Zhu ◽  
Qifei Zhou ◽  
Tapio Seppänen ◽  
...  
Keyword(s):  
Image Watermarking ◽  
Gaussian Function ◽  
Geometric Distortion ◽  
Low Pass ◽  
Feature Based ◽  
Robust Image ◽  
Watermarking Scheme ◽  
Watermark Synchronization ◽  
Desynchronization Attacks ◽  
Traditional Image

The screen-cam process, which is taking pictures of the content displayed on a screen with mobile phones or cameras, is one of the main ways that image information is leaked. However, traditional image watermarking methods are not resilient to screen-cam processes with severe distortion. In this paper, a screen-cam robust watermarking scheme with a feature-based synchronization method is proposed. First, the distortions caused by the screen-cam process are investigated. These distortions can be summarized into the five categories of linear distortion, gamma tweaking, geometric distortion, noise attack, and low-pass filtering attack. Then, a local square feature region (LSFR) construction method based on a Gaussian function, modified Harris–Laplace detector, and speeded-up robust feature (SURF) orientation descriptor is developed for watermark synchronization. Next, the message is repeatedly embedded in each selected LSFR by an improved embedding algorithm, which employs a non-rotating embedding method and a preprocessing method, to modulate the discrete Fourier transform (DFT) coefficients. In the process of watermark detection, we fully utilize the captured information and extract the message based on a local statistical feature. Finally, the experimental results are presented to illustrate the effectiveness of the method against common attacks and screen-cam attacks. Compared to the previous schemes, our scheme has not only good robustness against screen-cam attack, but is also effective against screen-cam with additional common desynchronization attacks.

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