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

Journal of Intelligent Procedures in Electrical Technology

Homayoun Mahdavi-Nasab¹  Hossein Pourghasem¹  Ahmad Keshavarz²  Mohsen Ghaemizadeh³ 

[1] Najafabad Branch, Islamic Azad University;Persian Gulf University;Rafsanjan Branch, Islamic Azad University;

关键词: Watermarking;    SVD;    Wavelet;    Compression attack;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown