QAM-DWT-SVD Based Watermarking Scheme for Medical Images

Abstract

This 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.

A Robust Medical Images Watermarking Using FDCuT-DCT-SVD

“…The drawback of this work is that the PSNR value is small, not reaching 50 dB. H. Ayad and M. Khalil [13] presents a new semi-blind watermarking image method for medical applications. The proposed scheme is based on a combination of DWT and SVD to transparently embed the watermark and remove it with great fidelity.…”

“…The noise value is represented by the Minimum Square Error (MSE). The MSE formula is obtained by Eq (13)…”

Editor’s Note

“…Ending with the series of health related articles, Ayad and Khalil [9] present a new semi-blind image watermarking system for medical applications. The proposed scheme uses a combination of Singular Value Decomposition and Discrete Wavelet Transform to embed the watermark in a transparent manner and extract it with high fidelity.…”