Optimization of Robust Image Watermarking Based on DCT and Decomposition Using Genetic Algorithm

An easier data exchange makes information not guarantee confidentiality or ownership. Digital watermarking is needed to embed hidden information to identify data ownership and protect information from being manipulated by unauthorized parties over the data. This work develops a watermarking technique using Discrete Cosine Transform (DCT) in the Discrete Wavelet Transform (DWT), Hessenberg Decomposition (HD), and Singular Value Decomposition (SVD) scheme. Parameters in the watermarking scheme are optimized using Genetic Algorithms to increase the performance of the watermarking method both regarding fidelity and robustness. The suggested watermarking scheme demonstrate that the system is resilient against filter, noise, geometry, and signal processing attacks. The experiment results prove that adding DCT can improve resistance, especially in geometric attacks.