University of Delaware 3 credits ELEG
An introduction to digital imaging systems, their mathematical modeling, and the imaging pipeline processing and optimization addressed using conventional signal processing tools as well deep learning and convolutional neural networks. Topics covered include sensors, Fourier analysis, sampling, filtering, aliasing, de-blurring, de-mosaicing, and super-resolution. Signal processing and deep learning solution for computer tomography, 3D LiDAR imaging, and hyper-spectral imaging are covered. Prerequisite: ELEG 305 .
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