EMBC06 Paper Abstract


Paper FrC10.2

Nambakhsh, Mohammad Saleh (Tehran Univ. of medical sciences), Ahmadian, Alireza (Tehran Univ. of Medical Sciences), Ghavami, Mohammad ( king’s Coll. London), Dilmaghani, Reza (King’s Coll. Univ. of London), Karimi-Fard, Saeed (Tehran Univ. of Medical Sciences)

A Novel Blind Watermarking of ECG Signals on Medical Images Using EZW Algorithm

Scheduled for presentation during the Oral Session "Medical watermarking, Denoising, Resampling, Filtering, and Coding" (FrC10), Friday, Sept 1, 2006, 14:15−14:30, Astor Ballroom

28th IEEE EMBS Annual International Conference, Aug 30-Sept. 3, 2006, New York City, New York, USA

This information is tentative and subject to change. Compiled on March 27, 2015

Keywords Image Processing and Analysis (Filtering, Enhancement, Compression, Coding and Classification), Healthcare Information Management, Telemedicine, E-Medicine, and Home-Based Healthcare


In this paper, we present a novel blind watermarking method with secret key by embedding ECG signals in medical images. The embedding is done when the original image is compressed using the embedded zero-tree wavelet (EZW) algorithm. The extraction process is performed at the decompression time of the watermarked image. Our algorithm has been tested on several CT and MRI images and the peak signal to noise ratio (PSNR) between the original and watermarked image is greater than 35 dB for watermarking of 512 to 8192 bytes of the mark signal. The proposed method is able to utilize about 15% of the host image to embed the mark signal. This marking percentage has improved previous works while preserving the image details.



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