A Nonnegative Matrix Factorization Scheme for Digital Image Watermarking

Abstract

We present a new scheme for digital watermarking and secure copyright protection of digital images using non-negative matrix factorization and singular value de-composition approaches. The proposed method improves the performance of the data embedding system effectively, and it is resistant to a variety of intentional attacks and normal visual processes. The experimental results clearly illustrate the much improved performance of the proposed watermarking methodology in comparison with existing techniques.