A Novel Image Watermarking Robustness Improving Algorithm Based on Combination of Wavelet and Singular Value Decomposition Transforms Against Noisy and Compression Attacks

Subject Areas : Renewable energy

Mohsen Ghaemizadeh ¹ , Hossein Pourghasem ² , Homayoun Mahdavi-Nasab ³ , Ahmad Keshavarz ⁴

1 - MSc/Rafsanjan Branch, Islamic Azad University
2 - Assistant Professor/Najafabad Branch, Islamic Azad University
3 - Assistant Professor/Najafabad Branch, Islamic Azad University
4 - Assistant Professor/Persian Gulf University, Boushehr

Received: 2010-04-28 Accepted : 2011-11-05 Published : 2013-06-01

Keywords: Watermarking, SVD, Wavelet, Compression attack,

Abstract :

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.