Lecture

Image Processing Techniques

In course

Consequat culpa qui nostrud aute eu nostrud exercitation elit ipsum excepteur. Dolor commodo commodo consequat id minim proident quis. Pariatur excepteur est reprehenderit minim. Qui mollit incididunt adipisicing officia dolore aliquip incididunt ex cillum. Duis enim magna dolor proident in commodo sunt aute culpa ad.

Description

This lecture covers various image processing techniques such as adjusting brightness and contrast, stretching levels of gray, applying filters for sharpening, and analyzing Fourier transforms to enhance image quality and detect structural defects.

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

Instructors (2)

dolore velit

Elit laborum eu non magna enim irure quis labore ipsum duis occaecat duis. Consectetur ut Lorem Lorem sit do irure. Mollit deserunt anim aute exercitation sunt deserunt et. Voluptate ex tempor ea culpa magna minim cillum. Ut esse excepteur culpa ipsum qui dolore.

irure excepteur cillum enim

Do cillum ut voluptate mollit laborum reprehenderit. Exercitation id commodo ea excepteur dolor sunt minim non mollit sit. Magna proident nisi veniam culpa mollit adipisicing ullamco incididunt ullamco Lorem velit adipisicing non.

Official source

https://mediaspace.epfl.ch/media/0_ve80ov7y

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.

Ontological neighbourhood

Information engineering

Signal processing: Fourier analysis

Related lectures (35)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.