Class 3. P: EE 302 and EE 638, 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 morpholo
gical 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.