I am in a position where relatively low resolution images are provided (via an API, higher resolution images are not available) and high resolution images need to be generated.
I’ve taken a look at PIL and it’s just great for about everything… Except scaling up images.
It has the common resizing algorithms:
- Nearest Neighbor
- Bilinear
- Bicubic
- Anti-aliased
I would like to use Fractal Resizing (as per jeff’s post on coding horror), but alas, PIL has no support for this kind of resizing.
Further Google searches yield no alternative libraries to provide fractal image resizing either.
Does such a thing exist or do I really have to buckle down and write my own fractal resizing algorithm?
I’m no expert but from my current vantage point, that looks like a pretty steep learning curve 🙁
If no such library exists, maybe you have some advice where to learn about fractal compression algorithms?
There are algorithms, and you’re definitely not going to find them in Python. To start with, you can take this paper :
Daniel Glasner, Shai Bagon, and Michal Irani, “Super-Resolution from a Single Image,” in Proceedings of the IEEE International Conference on Computer Vision, Kyoto, Japan, 2009.
It is very much state of the art, highly sophisticated, and producing promising results. If you ever make it into a python implementation please release it to the public 🙂