Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multibit Geometrically Robust Image Watermark Based on Zernike Moments
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Geometric Attacks on Image Watermarking Systems
IEEE MultiMedia
Image Watermarking Using Krawtchouk Moments
ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications
Geometrically invariant watermarking: synchronization through circular Hough transform
Multimedia Tools and Applications
A robust watermarking scheme using self-reference image
Computer Standards & Interfaces
Proceedings of the 4th international conference on Digital Watermarking
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
A feature-based robust digital image watermarking scheme
IEEE Transactions on Signal Processing
Image watermarking based on invariant regions of scale-space representation
IEEE Transactions on Signal Processing
Invariant image watermark using Zernike moments
IEEE Transactions on Circuits and Systems for Video Technology
A new SVM-based image watermarking using Gaussian-Hermite moments
Applied Soft Computing
Journal of Visual Communication and Image Representation
Analysis of algorithms for fast computation of pseudo Zernike moments and their numerical stability
Digital Signal Processing
A robust blind color image watermarking in quaternion Fourier transform domain
Journal of Systems and Software
A new video watermarking algorithm based on shot segmentation and block classification
Multimedia Tools and Applications
Engineering Applications of Artificial Intelligence
Hi-index | 0.00 |
A robust digital image watermarking scheme based on Pseudo-Zernike moments and image normalization is proposed. The goal is to resist both geometric distortion and common signals processing. We construct the geometrically invariant space by using image normalization. The Pseudo-Zernike moments of the normalized image are computed, and some low-order Pseudo-Zernike moments are selected. We embed digital watermark into the host image by quantizing the magnitudes of the selected Pseudo-Zernike moments. Numerical experiments demonstrate that the proposed watermarking scheme is robust to a wide range of geometric attacks and common signals processing.