Slami Saadi

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Image restoration step is important in many image processing applications. In this work, we attempt to restore radiological images degraded during acquisition and processing. Details of the work, carried out to optimize a Neural Network (NN) for identifying an AutoRegressive Moving Average (ARMA) model used for nonlinearly degraded image restoration, are(More)
—In this paper a new methodology is presented for restoring radiological images degraded during acquisition and processing. Details of the work, carried out to optimize a neural network (NN) for identifying an autoregressive moving average (ARMA) model used for nonlinearly degraded image restoration, are presented in this paper. The degraded image is(More)
This paper proposes a novel approach based on swarm intelligence and foraging behavior of Escherichia coli Bacteria in the human intestine for enhancing neutron radiography projections blurred during acquisition by the high neutron flux and noise contaminated due to Gamma radiations. This approach uses the total variation (TV) optimization to solve an(More)
In this article, we present a mixed software/hardware Implementation on a Xilinx's Microblaze Soft core based FPGA platform. The reconfigurable embedded platform designed to support an important algorithm in image processing which is region color image segmentation for detecting objects based on RGB to HSL transformation. The proposed work is implemented(More)
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