Prerequisites: Signals and systems or equivalent required; Familiarity with probability and linear algebra. Intended for seniors, juniors, or beginning graduate students.
Description: Introduction to theories, algorithms, and practical solutions of digital image/video perception, acquisition, color representation, quantization, transform, enhancement, filtering, multi-spectral processing, restoration, analysis, feature extraction, segmentation, morphological transform, and compression.
Students will gain understanding of algorithm design, mathematical tools, and practical implementations of various digital image applications. Considerations of practical system requirements (e.g., medical, satellite, consumer) will be discussed.