Image processing basics
Objectives
- Explain how computers store image data including details about the number of pixels, bit resolution, and color-spaces
- Recognize that different image formats hvae distinct strengths and weaknesses
- Recall the difference between bitmap and vector-based formats and know when to use each
Background
Many science projects involve pictures or data acquired through image scans. Concepts such as bit resolution, color-space, and image format are important for rigor and reproducibility. This lecture explains some of the basic concepts and sets the stage for future lessons focused on image processing.
Accessing files
See GitHub for instructions on how to download the course material to your local computer.
The source files for this lecture are at <repo>/lectures/image_processing_basics
Other useful material
Core materials
- Lecture videos
- PowerPoint file
Image processing basics
A video explaining pixels, color-spaces, compression, and bitmap/vector-based image formats.