Lecture

Image Filtering: Classic Filters

Description

This lecture covers classic image filters such as Moving Average, Gaussian Blur, Sobel filter, and Laplacian operator. It explains their mathematical formulations and applications in edge detection, gradient approximation, and image smoothing.

In MOOCs (4)

Basic signal processing concepts, Fourier analysis and filters. This module can be used as a starting point or a basic refresher in elementary DSP

Adaptive signal processing, A/D and D/A. This module provides the basic tools for adaptive filtering and a solid mathematical framework for sampling and quantization

Advanced topics: this module covers real-time audio processing (with examples on a hardware board), image processing and communication system design.

Instructors (3)

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Official source

https://mediaspace.epfl.ch/media/0_7lma70pu

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