Lecture

Image Processing: Smoothing and Filtering

In course

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Description

This lecture covers various image processing techniques, including neighborhood averaging, binning, and Gaussian smoothing. It explains how to reduce noise and artifacts using methods like median filtering and Laplacian sharpening. The lecture also delves into Fourier transforms, frequency filtering, and thresholding for image segmentation.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_b5isiwka

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Ontological neighbourhood

Information engineering

Signal processing: Digital image processing, Filtering theory

Artificial intelligence: Computer vision

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