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• W1819465335 abstract "This paper presents an adaptive and robust invisible watermarking method for digital images. The proposed method is carried out into four phases. In the first phase, Scale Invariant Feature Transform (SIFT) is used to extract features and clustered through k-means clustering algorithm. In the second phase, around center of each cluster a minimum boundingbox is formed and the underlying image contents are cropped for inserting watermark. In the third phase, each selected region is wavelet transformed. In the fourth phase, scaling parameter is calculated adaptively using middle frequency bands of each cropped image region through hyperbolic tangent function. The watermark is resized based on the size of region cropped and inserted in to the middle frequency band of all selected regions. Further, the method is more robust to RST, cropping and other attacks due to extraction of RST invariant SIFT features and insertion of single watermark in multiple locations. Experimental results prove the robustness of the proposed method against various attacks." @default.
• W1819465335 created "2016-06-24" @default.
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• W1819465335 date "2013-03-26" @default.
• W1819465335 modified "2023-09-28" @default.
• W1819465335 title "Adaptive Invisible Watermarking Model for Securing Ownership Rights of Digital Images using SIFT features in Bi-orthogonal Wavelet domain" @default.
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