Intro to Visual Info Processin

Catalog description

The course focuses on fundamental topics, including visual information acquisition, representation, description, enhancement, restoration, transformations and compressions, and reconstruction from projections. The second focus is on Computer Science applications, including algorithms developed in image processing and computer vision, and the use of AI models for real-world applications, such as statistical and syntactic pattern recognition, robotic vision, multimedia, visual data mining, and bio-informatics. Prerequisite: CS 375 or equivalent. Term and frequency of offering varies.