Intro to Digital Image Processing | Computer Vision | Multimedia Applications

RPI

Comprehensive digital image processing course covering techniques in image acquisition, enhancement, restoration, segmentation, and analysis. Hands-on projects and experienced RPI instructors.

University CoursesComputer VisionImage Processing

Introduction

This course provides an introduction to the fundamental concepts and techniques of digital image processing. It covers topics such as image acquisition, enhancement, restoration, segmentation, and analysis.

screenshot

Highlights

Covers a wide range of digital image processing techniques
Includes hands-on projects and assignments
Taught by experienced instructors at Rensselaer Polytechnic Institute (RPI)

Recommendation

This course is recommended for students interested in computer vision, image analysis, and multimedia applications. It provides a solid foundation in the principles and algorithms of digital image processing, which are essential for many fields, including computer science, engineering, and scientific research.

YouTube Videos

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

UvA Deep Learning Course | Artificial Intelligence | Computer Vision

University CoursesComputer VisionDeep LearningMachine Learning

Comprehensive course on the theory and applications of deep learning, with a focus on computer vision and language modelling. Taught by experienced faculty from the University of Amsterdam.

Computer Vision | Artificial Intelligence | Cornell University

University CoursesArtificial IntelligenceComputer Vision

Explore the foundations of computer vision and AI with hands-on projects. Gain practical experience in implementing cutting-edge algorithms for real-world applications.

C++ Tutorials

Technical TutorialsC++Image Processing

Dive into the world of C++ with our comprehensive tutorials. Learn basic programming, advanced topics like image processing and web servers, and build complex applications independently.

OpenCV Tutorials

Technical TutorialsComputer GraphicsComputer VisionOpenCV

Learn image processing, video analysis, and more with hands-on OpenCV tutorials. Suitable for beginners and experienced developers.

Computational Techniques in Pixel Processing | Image Processing, Computer Vision

University CoursesComputer GraphicsComputer VisionImage Processing

Comprehensive course on computational techniques for pixel processing, including image enhancement, restoration, segmentation, and analysis. Taught by expert George Wolberg at Columbia University.

Shape Analysis | Computer Graphics, Computer Vision, Geometric Data Processing

University CoursesComputer GraphicsComputer Vision

Explore the fundamental concepts and techniques of shape analysis at MIT. Hands-on projects, experienced faculty, and a solid foundation in geometric data processing.

High-Level Vision | Computer Vision, Machine Learning, Deep Learning

University CoursesComputer VisionDeep Learning

Comprehensive course on advanced computer vision techniques, including object detection, recognition, and segmentation. Hands-on experience with state-of-the-art algorithms and real-world applications.

Advanced Computer Vision | CBCSL OSU

University CoursesComputer VisionDeep Learning

Comprehensive course on cutting-edge computer vision algorithms, deep learning techniques, and real-world applications.

Introduction to Image Processing & Computer Vision | CBCSL OSU

University CoursesComputer VisionImage Processing

Comprehensive course on image processing and computer vision techniques, taught by experts from Ohio State University's CBCSL.