The nature of statistical learning theory
The nature of statistical learning theory
A survey of RST invariant image watermarking algorithms
ACM Computing Surveys (CSUR)
An image rectification scheme and its applications in RST invariant digital image watermarking
Multimedia Tools and Applications
Geometrically invariant watermarking: synchronization through circular Hough transform
Multimedia Tools and Applications
Circularly orthogonal moments for geometrically robust image watermarking
Pattern Recognition
Human visual system based adaptive digital image watermarking
Signal Processing
Color image watermarking scheme based on linear discriminant analysis
Computer Standards & Interfaces
A Color Watermarking Scheme Based on Block-SVD and Arnold Transformation
DMAMH '07 Proceedings of the Second Workshop on Digital Media and its Application in Museum & Heritage
Color PCA eigenimages and their application to compression and watermarking
Image and Vision Computing
A robust image watermarking algorithm using SVR detection
Expert Systems with Applications: An International Journal
Robust Object-Based Watermarking Using Feature Matching
IEICE - Transactions on Information and Systems
A local Tchebichef moments-based robust image watermarking
Signal Processing
Robust image watermarking using local Zernike moments
Journal of Visual Communication and Image Representation
Reversible data hiding based on histogram modification of pixel differences
IEEE Transactions on Circuits and Systems for Video Technology
Watermarking robustness evaluation based on perceptual quality via genetic algorithms
IEEE Transactions on Information Forensics and Security
Improving the robustness of DCT-based image watermarking against JPEG compression
Computer Standards & Interfaces
IEEE Transactions on Image Processing
Geometric distortion insensitive image watermarking in affine covariant regions
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A New Digital Image Watermarking Algorithm Resilient to Desynchronization Attacks
IEEE Transactions on Information Forensics and Security
Color Image Watermarking Using Multidimensional Fourier Transforms
IEEE Transactions on Information Forensics and Security
Multipurpose Watermarking Based on Multiscale Curvelet Transform
IEEE Transactions on Information Forensics and Security
The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
IEEE Transactions on Image Processing
Invariant Image Watermarking Based on Statistical Features in the Low-Frequency Domain
IEEE Transactions on Circuits and Systems for Video Technology
A Novel Look-Up Table Design Method for Data Hiding With Reduced Distortion
IEEE Transactions on Circuits and Systems for Video Technology
A novel pyramidal dual-tree directional filter bank domain color image watermarking algorithm
ICICS'11 Proceedings of the 13th international conference on Information and communications security
Robust color image watermarking using LS-SVM correction
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
A robust blind color image watermarking in quaternion Fourier transform domain
Journal of Systems and Software
Engineering Applications of Artificial Intelligence
Hi-index | 12.05 |
Geometric distortion is known as one of the most difficult attacks to resist, for it can desynchronize the location of the watermark and hence causes incorrect watermark detection. It is a challenging work to design a robust color image watermarking scheme against geometric distortions. Based on the support vector regression (SVR) and nonsubsampled contourlet transform (NSCT), we propose a new color image watermarking algorithm with good visual quality and reasonable resistance toward geometric distortions in this paper. Firstly, the geometrically invariant space is constructed by using color image normalization, and a significant region is obtained from the normalized color image by utilizing the invariant centroid theory. Then, the NSCT is performed on the green channel of the significant region. Finally, the digital watermark is embedded into host color image by modifying the low frequency NSCT coefficients, in which the HVS masking is used to control the watermark embedding strength. In watermark detection, according to the high correlation among different channels of the color image, the digital watermark can be recovered by using SVR technique. Experimental results show that the proposed color image watermarking is not only invisible and robust against common image processing operations such as filtering, noise adding, and JPEG compression etc., but also robust against the geometrical distortions.