Digital Images and Videos Lecture
Our dream to make machines sense and perceive (notably see) comes true: nowadays Computer Vision enables diverse applications:
-Autonomous Systems (cars, drones, vessels) Perception,
-Robotics Perception and Control,
-Intelligent Human-Machine Interaction,
-Anthropocentric (human-centered) Computing,
-Smart Cities/Buildings and Assisted living.
Computer Vision, coupled with AI (notably Machine Learning and Deep Neural Network) advances hit the news almost every day.
This lecture overviews various digital image types: 2D images, 3D images (videos, medical volumes, hyperspectral images). Multichannel images, e.g., color and multispectral images and color theory come next. Spatial frequency content and image sampling are presented. Spatiotemporal frequency content and video sampling are presented.