Robust image watermarking against geometrical attacks

2006 ◽  
Author(s):  
Liu Liang ◽  
Sun Qi
Keyword(s):  
Image Watermarking ◽  
Robust Image ◽  
Geometrical Attacks

Watermarking Scheme Resilient to Geometrical Attacks Base Normalized Feature Area

2014 ◽  
Vol 1061-1062 ◽  
pp. 1118-1123 ◽  
Author(s):  
Ou Jun Lou ◽  
Shuang Tong Tang ◽  
Shao Hua Li
Keyword(s):  
Image Watermarking ◽  
Feature Points ◽  
Geometric Attacks ◽  
Host Image ◽  
Feature Based ◽  
Robust Image ◽  
Good Transparency ◽  
Feature Scale ◽  
Watermarking Scheme ◽  
Geometrical Attacks

The crucial of design a robust image watermarking scheme is cope with geometrical attacks in transform domain.In this paper, a novel feature-based image watermarking scheme resilient to the geometrical attacks is proposed. Firstly, the harris-affine detector is utilized to extract invariant feature points from the host image. Then, by the feature scale of the local structure, the feature regions are adaptively computed and normalized. Finally, several copies of the digital watermark are embedded into the nonoverlapped local feature regions by quantizing the magnitude vectors of the DFT middle frequency. During detection, the resynchronization is achieved through feature points. And the embedded sequence can be extracted by “majority principles” without resorting to the original host image. Experimental results show that the proposed algorithm has good transparency and is very robust to common image processing and geometric attacks.

A NEW CONTOURLET-DOMAIN BASED IMAGE WATERMARKING SCHEME RESILIENT TO GEOMETRICAL ATTACKS

2009 ◽  
Vol 07 (01) ◽  
pp. 115-130 ◽  
Author(s):  
OU-JUN LOU ◽  
XIANG-HAI WANG ◽  
ZHENG-XUAN WANG
Keyword(s):  
Signal Processing ◽  
Image Watermarking ◽  
Maximum Energy ◽  
Transform Domain ◽  
Feature Template ◽  
Robust Image ◽  
Common Signal ◽  
Watermarking Scheme ◽  
Significant Region ◽  
Geometrical Attacks

Coping with geometrical attacks in transform domain is crucial when we design a robust image watermarking scheme. In this paper, a novel contourlet-domain image watermarking scheme, which is robust to common signal processing and geometrical attacks, is proposed. First, the region with maximum energy in the directional subbands is considered for watermarking, i.e. the watermark can be embedded into the significant region as well as highly textured region of the host image. Then, for each coefficient of the selected subband, the strength factor was adaptively adjusted in terms of the energy of its parent and neighbor coefficients. Consequently, the tradeoff between the transparency and robustness of watermark can be achieved. Furthermore, the robust feature points, which can survive various signal processing and affine transformation, are extracted by using the Harris–Laplace detector. In watermark detection, the geometrical distortion of image is identified by using the feature template constructed during embedding phase, i.e. watermark resynchronization is performed. Experimental results show that the proposed watermark scheme is invisible and robust against common signal processing such as median filtering, sharpening, noise adding and JPEG compression, etc and geometrical attacks such as rotation, translation, scaling, row or column removal, shearing and local random bend, etc.

Geometrically Invariant NSCT–GPCET-Based Image Watermarking with Accurate Moment Calculation

2021 ◽  
pp. 2150284
Author(s):  
Wenbing Wang ◽  
Shengli Liu ◽  
Liu Feng
Keyword(s):  
Calculation Method ◽  
Image Watermarking ◽  
Robust Watermarking ◽  
Exponential Transform ◽  
Computational Simplicity ◽  
Polar Complex Exponential Transform ◽  
Watermarking Scheme ◽  
Complex Exponential ◽  
Grid Division ◽  
Geometrical Attacks

Generic polar complex exponential transform (GPCET), as continuous orthogonal moment, has the advantages of computational simplicity, numerical stability, and resistance to geometric transforms, which make it suitable for watermarking. However, errors in kernel function discretization can degrade these advantages. To maximize the GPCET utilization in robust watermarking, this paper proposes a secondary grid-division (SGD)-based moment calculation method that divides each grid corresponding to one pixel into nonoverlapping subgrids and increases the number of sampling points. Using the accurate moment calculation method, a nonsubsampled contourlet transform (NSCT)–GPCET-based watermarking scheme with resistance to image processing and geometrical attacks is proposed. In this scheme, the accurate moment calculation can reduce the numerical error and geometrical error of the traditional methods, which is verified by an image reconstruction comparison. Additionally, NSCT and accurate GPCET are utilized to achieve watermark stability. Subsequent experiments test the proposed watermarking scheme for its invisibility and robustness, and verify that the robustness of the proposed scheme outperforms that of other schemes when its level of invisibility is significantly higher.

Fast and robust image watermarking method in the spatial domain

2020 ◽  
Author(s):  
Zihan Yuan ◽  
Qingtang Su ◽  
Decheng Liu ◽  
Xueting Zhang ◽  
Tao Yao
Keyword(s):  
Image Watermarking ◽  
Spatial Domain ◽  
Robust Image

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
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