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

Author

Nambakhsh, Mohammad S. ; Ahmadian, Alireza ; Ghavami, Mohammad ; Dilmaghani, Reza S. ; Karimi-Fard, S.

Author_Institution

Dept. of Biomed. Syst., Tehran Univ. of Med. Sci.

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

3274

Lastpage

3277

Abstract

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

Keywords

data compression; electrocardiography; image coding; medical image processing; watermarking; wavelet transforms; CT; ECG signal; EZW algorithm; MRI image; PSNR; blind watermarking; embedded zero-tree wavelet; image compression; medical images; peak signal-to-noise ratio; secret key; signal embedding; Biomedical imaging; Discrete wavelet transforms; Electrocardiography; Interleaved codes; Medical diagnostic imaging; PSNR; Physics; Ultra wideband communication; Watermarking; Wavelet coefficients;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259603

Filename

4462496