[beagle3]

This is plain wrong. As others have pointed out, it is independent of the scaling method - it just looks for similar patches (at different sizes, mirror images, and perhaps even rotations - I don't remember) on the same image to find the best one that matches, and uses that for information.

In this specific case, you have all the letters there to match against, so there's no surprise.

Note that it uses the entire image to look for matches. If you tried to enlarge only the last line, it would probably NOT look as good.

There's a good reason that it works: Many pictures include similar elements at different scales, which lets you infer things from one scale to the other. In fact, in the eighties there was a lot of hype about "fractal compression" based on the same principle, see e.g. http://www.cs.northwestern.edu/~agupta/_projects/image_proce... ; In the end, they couldn't improve on JPEG, and has been essentially forgotten - but ... it did match the JPEG coders at the time in terms of compression rate (did much worse on speed and memory requirements); and, it could decompress pictures to much larger geometry than the original while still looking good -- technically, very similar to what is described in this paper. Everything old is new again.

[zimpenfish]

Fractal Compression also stalled because Iterated Systems have many patents in the technology and licensed it under too-high-for-hobbyists terms. They should have released a low-end version as freeware/open-source and concentrated on the commercial licenses / support (similar to SQLite).

[PepeGomez]

>This is plain wrong. As others have pointed out, it is independent of the scaling method - it just looks for similar patches (at different sizes, mirror images, and perhaps even rotations - I don't remember) on the same image to find the best one that matches, and uses that for information.

Which is much harder to do when the scaling method isn't known.

[beagle3]

It doesn't even have to be scaling. It will work just as well copying only from similar images (e.g., if this was a frame from a movie, they could use nearby frames to the same effect; or if it's a picture taken of the same thing from a different angle).