Zoubeida Messali

Learn More
This paper addresses the recovery of an image from its multiple noisy copies using a nonparametric Bayesian estimator in the wavelet domain. Boubchir et al have proposed a prior statistical model based on the α-stable densities adapted to capture the sparseness of the wavelet detail coefficients. They used the scale mixture of Gaussians theorem as an(More)
This paper deals with the distributed constant false alarm rate (CFAR) radar detection of targets embedded in heavy-tailed Pearson distributed clutter. In particular, we extend the results obtained for the cell averaging (CA), order statistics (OS), and censored mean level CMLD CFAR processors operating in positive alpha-stable (P&S) random variables to(More)
Image denoising is a very important step in cryo-transmission electron microscopy (cryo-TEM) and the energy filtering TEM images before the 3D tomography reconstruction, as it addresses the problem of high noise in these images, that leads to a loss of the contained information. High noise levels contribute in particular to difficulties in the alignment(More)
This paper deals with distributed CA-CFAR detection in presence of Gaussian and non-Gaussian clutter. In Gaussian environment, we propose to apply a wavelet transform based on soft-thresholding in multisensor CA-CFAR systems employing parallel decision fusion in both homogeneous and non homogeneous background in the sense of the Neyman-Pearson (N-P) test.(More)
Image denoising is a very important step in Cryo-transmission electron microscopy (cryo-TEM) and energy filtering TEM images, before the three-dimensional reconstruction (tomography reconstruction), because they normally have a problem of high noise level, which causes a loss in the contained information and difficult the process of alignment required for(More)
The 3D reconstruction of the Cryo-Transmission Electron Microscopy (Cryo-TEM) and Energy Filtering TEM images (EFTEM) hampered by the noisy nature of these images, so that their alignment becomes so difficult. This noise refers to the collision between the frozen hydrated biological samples and the electrons beam, where the specimen is exposed to the(More)
Since 3D Electron Tomography Reconstruction is currently under development, several software are appearing in this field. Hereby, we present a study of recent applications used in electron tomography. We have highlighted EFTEM and TomoJ Plug-in under ImageJ, Tomography Toolbox (Tom toolbox) under MATLAB and eTomo Under IMOD. We have also applied(More)
The goal of Emission computed tomography (ECT) is to reconstruct the distribution of the radioisotopes in the body by measuring the emitted photons. There is a growing realization for the importance of the functional information that is submitted by ECT and there are important advancements taking place, both in the instrumentation for data collection and in(More)
This paper presents comparative study and experimentation of Algebraic Reconstruction Technique (ART) and Filter Back Projection (FBP). The ART and FBP methods are used to reconstruct the object from the X-ray projection. The process of creating back the object image from the Radon Transform of the object is known as Image Reconstruction. Image(More)