Publications Scientifiques
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Item Super-resolution of document images using transfer deep learning of an ESRGAN model(IEEE, 2022) Kezzoula, Zakia; Gaceb, Djamel; Gritli, NadjatThis paper presents a novel super-resolution approach of document images. It is based on transfer deep learning of an ESRGAN model. This model, which showed good robustness on natural images, has been adapted to document images by using better levels of fine-tuning and a post-processing to enhance contrast. The experiments were carried out on our document image dataset that we built from document images presenting different challenges. Documents of different categories with different complexity levels and degradation kinds. The results obtained are better compared to ten existing approaches, which we have developed and tested on the same dataset with the same evaluation protocolItem A review of recent progress in deep learning-based methods for MRI brain tumor segmentation(Institute of Electrical and Electronics Engineers Inc, 2020) Chihati, S.; Gaceb, DjamelBrain tumor segmentation is a challenging task that involves delimiting cancerous tissues with heterogeneous and diffuse forms in brain medical images. This process is undoubtedly an important step in computer-aided diagnosis systems, in which tumor regions must be isolated for visualization and subsequent analysis. Recently, great progress has been made in brain tumor segmentation with the emergence of deep learning-based methods, which automatically learn hierarchical, and discriminative features from raw data. These methods outperformed the classical machine learning approaches where handcrafted features are used to describe the differences between pathological and healthy tissues. In this paper, we present a comprehensive overview of recent progress in deep learning-based methods for brain tumor segmentation from magnetic resonance images. Moreover, we discuss the most common challenges and suggest possible solutionsItem Impulse noise reduction in 2D electrical resistivity imaging data based on fuzzy logic(IEEE, 2011) Ferahtia, J.; Djarfour, Noureddine; Baddari, Kamel; Khaldoun, AsmaeItem Incorporation of a non-linear image filtering technique for noise reduction in seismic data(Springer, 2010) Ferahtia, Jalal; Baddari, Kamel; Djarfour, Noureddine; Kassouri, Abdel KaderItem Seismic noise attenuation by means of an anisotropic non-linear diffusion filter(Elsevier, 2011) Baddari, Kamel; Ferahtia, Jalal; Aïfa, Tahar; Djarfour, NoureddineItem Image-based processing techniques applied to seismic data filtering(Elsevier, 2013) Ferahtia, J.; Aïfa, Tahar; Baddari, K.; Djarfour, Noureddine; Eladj, S.