Image Processing I: Sampling Theory and Aliasing Problems

In course

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Description

This lecture covers the fundamentals of image processing, focusing on sampling theory, acquisition systems, and quantization. Topics include 1D and 2D sampling, aliasing problems, ideal sampling, Fourier domain analysis, and reconstruction processes. The instructor explains the importance of perfect recovery in multidimensional sampling.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_pk8awfuc

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Ontological neighbourhood

Information engineering

Signal processing: Fourier analysis

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