A digital image watermark embedding and extracting algorithm is presented based on the Finite Ridgelet Transform
(FRT) which can efficiently represent image with linear singularities. In general RT also has directional sensitivity so
that among the transformed coefficients the most significant one represents the most energetic direction of straight edges
in an image. In this paper effect of RT is compared with wavelet transform in watermarking application. Different noises
with different PSNR are added into the watermarked image in the experiments and the results are of robustness and
transparency.
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