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A Hybrid Transform for Robustness Enhancement of Watermarking of Medical Images

J. Samuel Manoharan, Kezi Selva Vijila


Medical Images are an important class of Images especially in the case of Data Hiding, Watermarking. Numerous techniques are being contributed by researchers all over with increasing technological advancements and also threat of data tampering, trespassing and destruction of evidences. Since, Robustness is one of the important criteria for any robust watermarking methods, especially with medical images, we have made a humble effort to utilize various features of a hybrid transform comprising of Contourlet transform, the Singular Value Decomposition and Discrete Cosine Transform. The Watermarked Image has been tested against a number of aggressive Image processing operations resembling the attacks which might be Intentional or Unintentional and evaluation made in terms of two parameters namely the Peak signal to noise ratio (PSNR) and Correlation Coefficient (CC).


Contourlet Transform (CT), Singular Value Decomposition (SVD), Discrete Cosine Transform (DCT), Fidelity

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