Johns Hopkins University 3 credits Electrical and Computer Engineering
This course provides a comprehensive introductory presentation of the fundamentals of image processing and analysis both from a theoretical and a practical point of view. The course covers fundamental methods for the processing and analysis of images and describes standard and modern techniques for the understanding of images by humans and computers. Topics include elements of visual perception, sampling and quantization, image transforms, image enhancement, color image processing, image restoration, edge detection, image segmentation, and multiresolution image representation. MATLAB exercises demonstrate key aspects of the course. Prerequisites: EN.525.202 (Signals and Systems) , or equivalent, and working knowledge of Matlab. Prerequisite(s): ***Cybersecurity students only: Must complete core courses first (EN.605.621 AND EN.695.601 AND EN.695.641).
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