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Techniques of digital image processing. Topics include processing in the image and spatial frequency domains; Fourier and other transforms , wavelets, continuous and discrete convolution and filtering; gray-level transforms, feature identification, image encoding, image enhancement; applications to models of human and machine vision.

Pre-requisites

Calculus III and one semester of linear algebra, or permission of the instructor