Mahmood Al-khassaweneh

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In this paper, we introduce a new robust image watermarking technique based on the Discrete Wavelet Transform (DWT). The proposed method extends the concept of image denoising to watermarking. A spatially adaptive wavelet thresholding method is used to select the coefficients to be watermarked. A multi-bit watermark is embedded into the discrete wavelet(More)
In this paper, we present a robust watermarking technique that uses the wavelet based hard thresholding concept for image denoising to determine the wavelet coefficients to be watermarked. A multi-bit watermark is embedded into the discrete wavelet coefficients of a still image. A corresponding blind watermark extraction algorithm is proposed. The proposed(More)
Two directed information measures have been used extensively in literature to evaluate the direction of information flow between two time series. The relationship between these two measures, however, has not been established as to date. In this letter, we derive a formula that defines the relationship between these two measures. We also offer some insights(More)
Directed Information (DI) is used to quantify the causal and dynamic relations between two signals. The main advantage of using DI compared to other measures of causality is that it does not assume an underlying signal model and thus can capture both linear and nonlinear interactions between signals. However, one major problem in computing the DI from data(More)
In the past decade, watermarking has become an important tool in copyright protection applications. In this paper, we introduce a new watermarking scheme in the joint time-frequency domain. Wigner distribution is used to transform an image into the spatial-spectral domain. The proposed method selects the time-frequency cells to be watermarked based on the(More)