A Novel Image Watermarking Robustness Improving Algorithm Based on Combination of Wavelet and Singular Value Decomposition Transforms Against Noisy and Compression Attacks
Mohsen Ghaemizadeh, Hossein Pourghasem, Homayoun Mahdavi‐Nasab, Ahmad Keshavarz · DOAJ (DOAJ: Directory of Open Access Journals) · 2012
Watermarking is used to protect copyright proof. Robustness index is the most important parameter that evaluates watermarking algorithm against different attacks such as noise and compression. In this paper, a novel semi- blind image watermarking algorithm based on joint wavelet transform (WT) and singular value decomposition (SVD) transform is proposed. In this algorithm, a new strategy is used to joint WT and SVD effectively. The most important advantage of this algorithm is robustness against a number of common attacks. Experimental results show that the proposed algorithm improves evaluation parameters more than other methods presented previously in the literature.