Image watermarking by moment invariants

Author(s):  
M. Alghoniemy ◽  
A.H. Tewfik
2011 ◽  
Vol 20 (8) ◽  
pp. 2189-2199 ◽  
Author(s):  
Hui Zhang ◽  
Huazhong Shu ◽  
G. Coatrieux ◽  
Jie Zhu ◽  
Q. M. J. Wu ◽  
...  

2014 ◽  
Vol 998-999 ◽  
pp. 951-956
Author(s):  
He Bing

In this paper an image watermarking based on krawtchouk moment invariants is proposed. krawtchouk moments are selected for image watermarking because image reconstruction with these moments is better than other orthogonal moments like Legendre, Zernike and Tchebichef. Watermarking is composed of the mean of several function of the first and second krawtchouk moment invariants order designed to be invariant to translation, scaling and rotation. The watermarked image is a linear combination of the original image and a weighted nonlinear transformation of original. The weight is computed such that the mean of the watermarked image invariants is a predefined number. Watermark detection is as simple as computing the moment invariants of received image. The experiment results demonstrate the proposed method can obtain better visual effect, meanwhile, it is also robust enough to some image degradation process such as adding noise, cropping, filtering and JPEG compression.


Author(s):  
Chauhan Usha ◽  
Singh Rajeev Kumar

Digital Watermarking is a technology, to facilitate the authentication, copyright protection and Security of digital media. The objective of developing a robust watermarking technique is to incorporate the maximum possible robustness without compromising with the transparency. Singular Value Decomposition (SVD) using Firefly Algorithm provides this objective of an optimal robust watermarking technique. Multiple scaling factors are used to embed the watermark image into the host by multiplying these scaling factors with the Singular Values (SV) of the host image. Firefly Algorithm is used to optimize the modified host image to achieve the highest possible robustness and transparency. This approach can significantly increase the quality of watermarked image and provide more robustness to the embedded watermark against various attacks such as noise, geometric attacks, filtering attacks etc.


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