A novel non-redundant contourlet transform for robust image watermarking against non-geometrical and geometrical attacks

2008 ◽  
Author(s):  
Guiduo Duan ◽  
A.T.S. Ho ◽  
Xi Zhao
Keyword(s):  
Image Watermarking ◽  
Contourlet Transform ◽  
Robust Image ◽  
Geometrical Attacks

A robust image watermarking in contourlet transform domain

2017 ◽  
Author(s):  
Rajat Sharma ◽  
Abhishek Kumar Gupta ◽  
Deepak Singh ◽  
Vivek Singh Verma ◽  
Anuj Bhardwaj
Keyword(s):  
Image Watermarking ◽  
Contourlet Transform ◽  
Transform Domain ◽  
Robust Image

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.

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