Introduction to the basic theory and techniques of image processing. Topics include: Analog and digital images, image formation, coordinates, image interpolation, Fourier transforms, sampling, spatial filters, edge detection, maximum likelihood estimation, probability models, Weiner filter, image classification and machine learning approaches to image processing and computer vision.

Associated course analyses