Image and Signal Processing
CMSC 465 | 3 Credits
Course Desc: Prerequisites: MATH 141 and CMSC 315 (or CMSC 350). A project-driven study of image and signal processing. The goal is to apply spectral analysis techniques to analyze time series data for the purpose of recognizing and classifying signals and to apply image segmentation, representation, and description techniques to recognize and classify objects. Topics include discrete Fourier transforms, fast Fourier transforms, sampling and filtering, and image transformations and enhancements.