Lecture

Image Processing I: Fundamentals

In course

DEMO: officia adipisicing veniam consectetur

Aliquip excepteur proident fugiat minim anim. Fugiat voluptate commodo excepteur veniam dolor. Deserunt voluptate dolor commodo ullamco consectetur pariatur. Ea tempor eu sint Lorem nulla dolor eiusmod. Nisi eiusmod quis fugiat deserunt mollit nostrud enim culpa mollit ullamco dolor aute incididunt officia. Excepteur tempor eiusmod eiusmod eu fugiat.

Description

This lecture introduces the fundamentals of image processing, covering topics such as image representation, digital image acquisition, color images, and components of an imaging system. It also explores the future trends and applications of image processing, emphasizing growth indicators and technological advancements. The course includes practical work through computer laboratories using Jupyter Notebooks and industry-level technologies like Python and JavaScript. Students will apply image processing algorithms on real images, gaining hands-on experience with image processing systems. The lecture aims to provide a comprehensive understanding of image processing concepts and tools.

Instructors (2)

ad esse aliquip irure

Aute ullamco fugiat non ea commodo eu eiusmod magna occaecat. Voluptate laborum elit sunt ex est magna nostrud minim ut cupidatat enim. Enim veniam velit eiusmod commodo pariatur culpa commodo eu consequat nostrud nisi reprehenderit. In exercitation ex labore eu fugiat est velit velit qui ullamco ut. Sit elit magna dolor esse amet eu aliqua anim. Sit in aliqua est sit minim id ullamco esse culpa incididunt aliquip anim tempor.

laborum fugiat laboris excepteur

Lorem sint sunt amet tempor laborum excepteur dolore. Dolore esse tempor Lorem minim adipisicing excepteur. Duis aliqua cillum cupidatat anim reprehenderit dolore velit velit et esse ex officia. Cillum exercitation esse id non mollit elit irure aliqua excepteur Lorem labore proident ea laboris. Velit nulla sit eiusmod nisi anim qui ad ad officia amet aute commodo.

Official source

https://mediaspace.epfl.ch/media/0_fh9hllzx

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: Digital image processing

Industrial and production engineering

Industrial processes: Machine tool

Related lectures (39)

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Explores the challenges and solutions for managing electron dose in microscopy, emphasizing the importance of accurate dose tracking and analysis.

Covers Cartesian equations in analytical geometry, focusing on encoding line directions and unique equations.

Covers practical image processing using Fiji software, emphasizing data quality importance.

Explores rotation in analytical geometry, including center coordinates and fixed points.

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.