01474nas a2200253   4500000000100000000000100001008004100002260001200043653001300055653001700068653003200085653001900117653003300136653003600169653002100205100001500226700002000241245006100261856009500322300001000417490000600427520077300433022001401206       2018                            d  c12/201810aSecurity10aWatermarking10aDiscrete Wavelet Transforms10aMedical Images10aSingular Value Decomposition10aQuadrature Amplitude Modulation10aArnold Transform1 aHabib Ayad1 aMohammed Khalil00aQAM-DWT-SVD Based Watermarking Scheme for Medical Images  uhttp://www.ijimai.org/journal/sites/default/files/files/2018/01/ijimai_5_3_9_pdf_17617.pdf  a81-890 v53 aThis paper presents a new semi-blind image watermarking system for medical applications. The new scheme utilizes Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT) to embed a textual data into original medical images. In particular, text characters are encoded by a Quadrature Amplitude Modulation (QAM-16). In order to increase the security of the system and protect then the watermark from several attacks, the embedded data is submitted to Arnold Transform before inserting it into the host medical image. To evaluate the performances of the scheme, several medical images have been used in the experiments. Simulation results show that the proposed watermarking system ensures good imperceptibility and high robustness against several attacks.  a1989-1660