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• W1567415221 abstract "This paper proposes efficient algorithms to enhance the nearfield electromagnetic imaging of human head. Forward problem is modeled using SAM head phantom with brain tumor anomalies, surrounded by a circular applicator antenna array. Scattered signals are compressively sensed (CS) at a limited number of sensing positions, and the sensed signals are preprocessed efficiently using a proposed novel technique to maximize information extraction. A dictionary is formed and then implemented in CS based inverse problem analysis. Reconstructed images are enhanced using new post-processing techniques to improve the spatial resolution. Image quality is analyzed using the quality metric in terms of peak signal-to-noise ratio (PSNR). The quality of the reconstructed images and the corresponding PSNR values reveals the validity of the imaging techniques." @default.
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• W1567415221 date "2015-05-01" @default.
• W1567415221 modified "2023-09-26" @default.
• W1567415221 title "Efficient techniques to enhance nearfield imaging of human head for anomaly detection" @default.
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• W1567415221 doi "https://doi.org/10.1109/memea.2015.7145267" @default.
• W1567415221 hasPublicationYear "2015" @default.
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