ELEG 604 - Imaging and Deep Learning

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.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: ELEG305.