Lecture

Image Denoising: Formulation and Key Concepts

In course

Aliquip ex aute elit labore ad mollit Lorem. Quis do mollit laborum anim magna ex mollit aliquip sint et do culpa ad tempor. Anim amet nulla sit exercitation et nisi velit sint duis in.

Description

This lecture covers the process of image denoising, focusing on staying close to the data, ensuring sensible pixels, and keeping the total variation small. It also introduces the PDE formulation and key concepts for the first black hole image.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Instructor

non sint tempor

Voluptate pariatur dolor aute sint non et dolor labore aute. Amet consectetur culpa non non dolore consectetur nisi elit. Non exercitation aute velit et amet nostrud laboris.

Official source

https://mediaspace.epfl.ch/media/0_is86zysk

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (31)