Biometrics inspired watermarking based on a fractional dual tree complex wavelet transform
Future Generation Computer Systems
A new aspect in robust digital watermarking
Multimedia Tools and Applications
Secure randomized image watermarking based on singular value decomposition
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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In this paper, a new robust watermarking scheme is proposed in multiresolution fractional Fourier transform domain using singular value decomposition. The watermark is embedded in the high frequency sub-band of the host image at coarsest level. Although the schemes based on SVD are robust but fail under ambiguity attacks. In this attack, both the owner and attacker can extract their watermark from the watermarked image. To prevent ambiguity, the normalized mass matrix is formed and embedded in the host image. In extraction, normalized mass matrix is extracted first and compared with original one. If the similarity is found then the singular values are extracted to construct the watermark. Experimental evaluation demonstrates that the proposed scheme is able to withstand a variety of attacks.