Background: Nowadays, information security is one of the most significant issues of social
networks. The multimedia data can be tampered with, and the attackers can then claim its ownership.
Image watermarking is a technique that is used for copyright protection and authentication
Objective: We aim to create a new and more robust image watermarking technique to prevent illegal
copying, editing and distribution of media.
Method: The watermarking technique proposed in this paper is non-blind and employs Lifting
Wavelet Transform on the cover image to decompose the image into four coefficient matrices. Then
Discrete Cosine Transform is applied which separates a selected coefficient matrix into different
frequencies and later Singular Value Decomposition is applied. Singular Value Decomposition is
also applied to the watermarking image and it is added to the singular matrix of the cover image,
which is then normalized, followed by the inverse Singular Value Decomposition, inverse Discrete
Cosine Transform and inverse Lifting Wavelet Transform respectively to obtain an embedded image.
Normalization is proposed as an alternative to the traditional scaling factor.
Results: Our technique is tested against attacks like rotation, resizing, cropping, noise addition and
filtering. The performance comparison is evaluated based on Peak Signal to Noise Ratio, Structural
Similarity Index Measure, and Normalized Cross-Correlation.
Conclusion: The experimental results prove that the proposed method performs better than other
state-of-the-art techniques and can be used to protect multimedia ownership.