Course Plan

Timeline	Material Covered
Week 1	Class Preliminaries Introduction – Types of images, imaging devices, acquisition, representation Image Geometry – Transformations, pixels, sampling Readings: LECTURE1.pdf
Week 2	Human Visual System – Visual perception, image formation, photoreceptors Binary Image Processing – Image generation, logical operations, blob coloring Readings: TBA
Week 3	Point Operation – Histogram, linear operators, nonlinear operators, histogram shaping Algebraic Image Operations Geometric Image Operations Readings: TBA
Week 4	Discrete Fourier Transform – Image frequencies, sampling theorem Readings: TBA
Week 5	Linear Filtering – Wraparound and linear convolution, linear filters, linear enhancement, deconvolution, Wiener filter Readings: TBA
Week 6	Nonlinear Filtering – Median filters, morphology, noise models, order statistic filters Review/Questions Readings: TBA
Week 7	Mid-term Exam Color – Fundamentals, models Readings: TBA
Week 7	Segmentation – Points, lines, edge, thresholding, regions Readings: TBA
Week 9	Object Measurements – Size, shape, texture, curve, surface Template Matching Edge Detectors Readings: TBA
Week 10	Hough Transform B-Splines Readings: TBA
Week 11	Stereo – Range finding, 3D geometry 3D image processing Readings: TBA
Week 12	Compression – Lossless, lossy, JPEG, Wavelets Readings: TBA
Week 13	Image Processing in Multimedia – Image retrieval, representations Project Presentations Readings: TBA
Week 14	Project Presentations
Week 15	Review/Questions