Transforming Images and Image Processing Techniques - Lecture 2

This lecture demonstrates image transformations, including downsampling, upsampling, image combinations, element-wise multiplication, and filtering with convolutions and Gaussian kernels. It also introduces related ideas in computational complexity, GPU architectures, data structures, and discrete versus continuous representations.

Syllabus

Welcome.
Announcement: Lectures will be nearly an hour.
Unitful.jl package: adding units to numbers just works in Julia.
Transforming images.
Downsampling/Upsampling.
Linear Combinations (Combining images).
Element-wise multiplication (broadcast).
Convex Combinations.
Fun with Photoshop.
Image Filtering (convolutions).
Definition of convolutions and kernels.
Computer Science: Complexity.
Computer Science: Architectures, GPUs or Graphical Processing Units.
Playing with a few kernels.
Gaussian Filter.
Computer Science: Data Structure: Offset Arrays.
Discrete vs Continuous.
Respect my Boundaries.