Topics include: cylindrical spaces, chromaticity diagrams, color temperature, white balancing, standardized RGB spaces, gamut mapping.
This is one of 18 videos representing lectures on digital photography, from a version of my Stanford course CS 178 that was recorded at Google in Spring 2016. A web site that includes all 18 videos, my slides, and the course schedule, applets, and assignments is sites.google.com/site/marclevoylectures
To help caption this lecture, follow this link: www.youtube.com/timedtext_video?v=6T_4mVZcozs&ref=share
An introduction to the scientific, artistic, and computing aspects of digital photography. Topics include lenses and optics, light and sensors, optical effects in nature, perspective and depth of field, sampling and noise, the camera as a computing platform, image processing and editing, and computational photography. We will also survey the history of photography, look at the work of famous photographers, and talk about composing strong photographs.
This course is based on CS 178 (Digital Photography), which I taught at Stanford from 2009 through 2014. I revised and taught the course again at Google in Spring of 2016, and these web pages are from the Google version. The course consists of 18 lectures. The topics, with dates, are given in the course schedule. The lectures were delivered live on Google's Mountain View campus, broadcast live to Google offices around the world, and recorded for later playback. The videos linked into these web pages are from those recordings, edited slightly to remove discussion of Google internal projects. Keynote slides from these lectures were converted to PDF files and linked into the schedule after each lecture.