This lecture covers topics such as sampling lattices, affine transformations, reciprocal lattices, pixel measurement process, realistic acquisition models, aliasing problems, and examples of aliasing in image processing.
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Introduction to the basic techniques of image processing. Introduction to the development of image-processing software and to prototyping using Jupyter notebooks. Application to real-world examples in
