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The paper presents a denoising algorithm particularly suited to ECG signals processing. The main stage of this algorithm consists in a MAP filtering in the wavelet domain. Its effectiveness relies on the qualities of the wavelet transform and of the statistical filter used. Tests made on ECG signals, in realistic conditions, showed very promising results. The noise is almost completely removed, while...
An effective denoising method for ECG signals affected by real sources of noise is proposed in this paper. The method is based on a maximum a-posteriori (MAP) filtering in the diversity-enhanced wavelet domain, under realistic a-priori assumptions regarding the statistical properties of the wavelet coefficients of the ECG signal. In order to evaluate the performance of the method, we studied the signal-to-noise...
The current paper proposes a robust watermarking method for still images that embeds a binary watermark into the detail subbands of the image wavelet transform. The perceptually significant coefficients are selected for each subband using a different threshold. The threshold is computed based on the statistical analysis of the wavelet coefficients. For greater invisibility of the mark, the approximation...
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