Reconstruction of reflectance spectra using robust nonnegative matrix factorization
IEEE Transactions on Signal Processing
An SVD-based watermarking scheme for protecting rightful ownership
IEEE Transactions on Multimedia
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Robust watermarking based on DWT and nonnegative matrix factorization
Computers and Electrical Engineering
An improved SVD-based watermarking technique for copyright protection
Expert Systems with Applications: An International Journal
A New Watermarking Algorithm Based on Entropy Concept
Acta Applicandae Mathematicae: an international survey journal on applying mathematics and mathematical applications
A self-adaptive image normalization and quaternion PCA based color image watermarking algorithm
Expert Systems with Applications: An International Journal
A new digital image watermarking scheme based on Schur decomposition
Multimedia Tools and Applications
Robust gray-scale logo watermarking in wavelet domain
Computers and Electrical Engineering
High payload data-hiding in audio signals based on a modified OFDM approach
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
Discriminative Orthogonal Nonnegative matrix factorization with flexibility for data representation
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
We introduce a robust image watermarking scheme for copyright protection using discrete wavelet transform (DWT) and nonnegative matrix factorization (NMF). The core idea of the proposed approach is to decompose an image into four wavelet sub-bands and then apply NMF to the blocks of each sub-band, followed by an eigendecomposition distortion step. The experimental results clearly show a better visual imperceptibility and an excellent resiliency of the proposed watermarking scheme against intentional and geometric attacks.