Equivalent to a 50 minute university lecture on images. Part 1 of 3.
0:00 - resizing an image produces noise -- why?
0:51 - pixels
1:32 - RGB images
2:04 - resizing by throwing out rows and columns
2:39 - camera sensors also remove rows and columns
3:09 - moire patterns and aliasing
3:53 - pixels are discrete samples of a continuous function. Poor sampling creates noisy images.
Graphics in 5 minutes is a series of cartoon-style videos that teach computer graphics in 10x less time. You can take the equivalent of a University level computer graphics course in just over two hours. The playlist is here:
kzread.info/head/PLWfDJ5nla8UpwShx-lzLJqcp575fKpsSO
See here for more information: g5m.cs.washington.edu/