Robust DWT-SVD domain image watermarking: embedding data in all frequencies
Proceedings of the 2004 workshop on Multimedia and security
A hybrid SVD-DCT watermarking method based on LPSNR
Pattern Recognition Letters
A Watermarking Algorithm for Digital Image Based on DCT and SVD
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 1 - Volume 01
Image watermarking scheme using nonnegative matrix factorization and wavelet transform
Expert Systems with Applications: An International Journal
A new robust reference watermarking scheme based on DWT-SVD
Computer Standards & Interfaces
A semi-blind digital watermarking scheme based on singular value decomposition
Computer Standards & Interfaces
An SVD-based watermarking scheme for protecting rightful ownership
IEEE Transactions on Multimedia
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
A self-adaptive image normalization and quaternion PCA based color image watermarking algorithm
Expert Systems with Applications: An International Journal
Duplication forgery detection using improved DAISY descriptor
Expert Systems with Applications: An International Journal
An optimized watermarking technique employing SVD in DWT domain
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Reversible watermarking scheme for medical image based on differential evolution
Expert Systems with Applications: An International Journal
Bayesian Segmentation Based Local Geometrically Invariant Image Watermarking
Fundamenta Informaticae
Hi-index | 12.06 |
The drawbacks of SVD-based image watermarking are false positive, robust and transparency. The former can be overcome by embedding the principal components of the watermark into the host image, the latter is dependent on how much the quantity (i.e., scaling factor) of the principal components is embedded. For the existing methods, the scaling factor is a fixed value; actually, it is image-dependent. Different watermarks need the different scaling factors, although they are embedded in the same host image. In this paper, two methods are proposed to improve the reliability and robustness. To improve the reliability, for the first method, the principal components of the watermark are embedded into the host image in discrete cosine transform (DCT); and for the second method, those are embedded into the host image in discrete wavelets transform (DWT). To improve the robustness, the particle swarm optimization (PSO) is used for finding the suitable scaling factors. The experimental results demonstrate that the performance of the proposed methods outperforms than those of the existing methods.