Mohamed Baadeche

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In this paper, we study the image denoising from the game theoretic perspective and formulate the image denoising problem as an evolutionary game. In the latter, pixels in image are modeled as autonomous players that seek to maximize a payoff function using one of a set of different strategies. The set of strategies of the players are the neighbors. By(More)
In this paper, we analyze the performance of the MOSCA-CFAR (Mean of OS and CA-CFAR), the SOSCA-CFAR (Smallest of OS and CA-CFAR) and the OSCAGO-CFAR (OS and CA-CFAR Greatest Of) detectors in homogeneous and non-homogeneous environments. The non-homogeneity is modelled by the presence of interfering targets in the reference window. In the presence of(More)
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