Adaptive Invisible Watermarking Model for Securing Ownership Rights of Digital Images using SIFT features in Bi-orthogonal Wavelet domain
Visible watermarking helps in securing the copyrights of digital images and prevents the hackers from duplicating it. In this paper, a new robust and adaptive visible watermarking using Speeded Up Robust Features (SURF) technique in wavelet domain is proposed. In this work, SURF technique is used to extract features from the low frequency band of cover image. A rectangular bounding box is framed by considering the candidate feature point with maximum scale value. The underlying image region of bounding box is used to caculate adaptive scaling factor through Zernike moment. The calculated scaling factor
is used to insert watermark in wavelet domain. As the inserted watermark may easily be removed by intentional or unintentional attacks the robustness of watermarked image is tested against many attacks. The results show that the proposed method is robust to many attacks.
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