Course Overview. Dr. Edmund Lam. Department of Electrical and Electronic Engineering The University of Hong Kong
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1 Course Dr. Edmund Lam Department of Electrical and Electronic Engineering The University of Hong Kong ELEC8601: Advanced Topics in Image Processing (Second Semester, ) work8601 E. Lam (University of Hong Kong) ELEC8601 Jan Apr, / 4
2 Course Scope Optical vs Digital image processing Foundational vs Advanced topics in image processing Computational optical imaging: principle and practice Course Prerequisites Must have: LTI systems (impulse response, transfer function), Fourier transform (CTFT, DTFT, DFT, FFT), digital image processing (image representation, dynamic range, edge detection, image denoising, inverse filtering), linear algebra (overdetermined system, underdetermined system, inverse, pseudoinverse, least square, eigenvalue, eigenvector), optics (lens formula, ray diagram) (some of these may appear in your tests) Good to have: LSI (i.e., two-dimensional LTI) systems, 2D Fourier transform (rotation theorem, Bessel function, Hankel transform), digital image processing (bilateral filtering, image decomposition, basis functions, wavelet, sparse reconstruction), linear algebra (inverse problems, ill-conditioning, regularization, iterative methods), optimization (convex optimization), geometrical optics (ray tracing), Fourier optics (Fresnel diffraction, OTF) E. Lam (University of Hong Kong) ELEC8601 Jan Apr, / 4
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4 Optics: imaging systems, cameras optical image processing (filtering), holography, projection-camera systems Journal of the Optical Society of America A: Optics, Image Science, and Vision
5 Optics: imaging systems, cameras optical image processing (filtering), holography, projection-camera systems Journal of the Optical Society of America A: Optics, Image Science, and Vision Computer science: computer vision image understanding, computer graphics, robotics and automation, artificial intelligence Computer Vision and Image Understanding
6 Optics: imaging systems, cameras optical image processing (filtering), holography, projection-camera systems Journal of the Optical Society of America A: Optics, Image Science, and Vision Computer science: computer vision image understanding, computer graphics, robotics and automation, artificial intelligence Computer Vision and Image Understanding Applied mathematics: functional analysis, numerical linear algebra compression, image deblurring, denoising, inpainting, sparse reconstruction SIAM Journal on Imaging Sciences
7 Optics: imaging systems, cameras optical image processing (filtering), holography, projection-camera systems Journal of the Optical Society of America A: Optics, Image Science, and Vision Computer science: computer vision image understanding, computer graphics, robotics and automation, artificial intelligence Computer Vision and Image Understanding Applied mathematics: functional analysis, numerical linear algebra compression, image deblurring, denoising, inpainting, sparse reconstruction SIAM Journal on Imaging Sciences Application areas: biomedical imaging, microscopy, astronomy, remote sensing, intelligent transport system, industrial inspection, photography, nanolithography
8 Course Logistics (see website) Piazza Course Assessment E. Lam (University of Hong Kong) ELEC8601 Jan Apr, / 4
Digital images. Digital Image Processing Fundamentals. Digital images. Varieties of digital images. Dr. Edmund Lam. ELEC4245: Digital Image Processing
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