@article{MAKHILLJEAS2019142318703,
    title = {Evaluating the Robustness of Image Watermarking System based on
Multilevel Wavelet Transform},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {23},
    pages = {8712-8720},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.8712.8720},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.8712.8720},
    author = {Heyam,Kameran,Dalya,Raghad,Ahmed M. and},
    keywords = {2DDWT,watermarking,PSNR,SR,embedding,extraction},
    abstract = {Scheme of "robust image watermarking" for the protection of copyright is proposed based on "3-level
2-Dimensional Discrete Wavelet levels decompositions (2DDWT)". In the proposed system, two binary
watermark images are embedded into the sub-bands of a cover image by using direct arithmetic addition
depending on the alpha blending with variable scaling factor scheme with the host image wavelet
coefficients. A comparison has been made among 1-3 level through the use of statistical parameters
like "Peak-Signal-to-Noise-Ratio (PSNR)" and Similarity Ratio (SR). Then five groups of malicious attacks are
applied to watermarked images like filters, noises, geometric, JPEG compression and restoration and
enhancement attacks on the watermarked image which is the main contribution to this field. The experimental
results show that the watermark images generated with the proposed algorithm based on 3-levels outperform
the other levels in terms of robustness. However, they show comparable results in terms of transparency. As
a result, the 3rd level is recommended for watermarking schemes.}
    }