Displaying 208 resources



Symbolic, Statistical, and Causal Representations
In machine learning, we use data to automatically find dependencies in the world, with the goal of predicting future observations.



Image Typology
This lecture overviews various digital image types: 2D images, 3D images (videos, medical volumes, hyperspectral images). Multichannel images, e.g., colour and multispectral images come next. RGBD images and graphics texture images.



Digital Image Processing
This lecture overviews Digital Image Processing that has many applications in improving image visual quality.



Image Perception
This lecture overviews Image Perception. This is very important to understand image quality issues and develop many appropriate image processing operations.



2D Systems
This lecture overviews 2D Systems, as they are the primary tools for many image processing and analysis operations. It covers the following topics in detail: Two-Dimensional Discrete LTI Systems. 2D convolutions. 2D correlation.



High-Dynamic Range Imaging
This lecture overviews High-Dynamic Range Imaging that has many applications in digital photography.