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It is known that the contourlet coefficients of images have non-Gaussian property and heavy tails. In view of this, an appropriate distribution to model the statistics of the contourlet coefficients would be the one having large peaks, and tails heavier than that of a Gaussian PDF, i.e., a heavy-tailed PDF. This paper proposes a new image modeling in the contourlet domain, where the magnitudes of...
In the past decade, several schemes for digital image watermarking have been proposed to protect the copyright of an image document or to provide proof of ownership in some identifiable fashion. This paper proposes a novel multiplicative watermarking scheme in the contourlet domain. The effectiveness of a watermark detector depends highly on the modeling of the transform-domain coefficients. In view...
In this paper, a novel involutory parametric transform is proposed by exploiting the reciprocal-orthogonal parametric transform. In addition, a recursive algorithm is proposed for its simple construction and fast computation. The transform has a very large number of independent parameters that are useful for many applications. Specifically, we show by implementing the double random phase encoding...
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