Class 3. P: ECE 302 and ECE 538, or equivalent. Introduction to
digital image-processing techniques for enhancement, compression,
restoration, reconstruction, and analysis. 2-D signals and systems;
sampling and scanning; random fields; discrete cosine transform;
discrete Karhunen-Loeve transform; grayscale transformations; linear,
ranked order, and morphological filters; human vision, printing, and
display of images; entropy-based compression; vector quantization;
block truncation coding; transform coding; predictive coding; image
degradation models; Wiener filter; constrained deconvolution; computed
tomography; edge detection; shape representation; and segmentation.