Electrical & Computer Engin 566 - Image Processing

The field of Image Processing is concerned with the study of computational approaches for the analysis, storage, and interpretation of digital content. In modern times, Image Processing applications have expanded to include an assortment of fields ranging from medical diagnostics to remote sensing to AI. This course introduces students to basic concepts and techniques in digital image processing. Topics covered will include characterization and representation of digital images, image enhancement, image restoration, image analysis, and image segmentation. This course assumes familiarity with the content of a introductory course in signals and systems (ECE 213), with topics such as signal transformations, convolution and LTI systems, Fourier Transform and Series. Basic understanding of random variables and probability distributions (ECE 214) is also required. Knowledge of MATLAB and Python programming is necessary to complete computer assignments. Understanding of discrete signal and system concepts, while not required, is advantageous.

SR Engineering Majors E&C-ENG 213 and 214 Prerequisites: E&C-ENG 213 or an equivalent course on continuous-time signals and systems, and E&C-ENG 214 or an equivalent course on probability. Knowledge of MATLAB and Python programming is necessary to complete computer assignments. Understanding of discrete-time signal and systems, while not required, is advantageous.