ADR Awareness Centre

This lecture overviews Image Formation, which is of primary importance in ensuring image quality and enabling image processing. It covers the following topics in detail: Light reflection models. Camera structure and models, e.g., Pinhole Camera.

This lecture overviews Image Transforms that are instrumental in image filtering, compression and power spectrum estimation.

This lecture overviews 2D Digital Filter Design and Implementation that has many applications in digital image filtering, computer vision (template matching) and convolutional neural networks .

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.

This lecture overviews digital image coordinate systems and their mathematical representations (vectors, matrices). Memory allocation issues are presented.

This lecture overviews spatial image frequency content and image sampling.  Rectangular and hexagonal sampling grids are presented. Sampled image frequency content is analyzed and a 2D version of Shannon theorem is presented.