The application is not too sophisticated, and I do use numpy, scipy and skimage for all I need. The only problem is speed, I need the processing to be at l5-10 time faster. Convolutions take most of the processing time. I prefer a flexible solution that would speed up also common nonlinear filters (i.e. a median filter). Nadav, 2011/12/22 Jaidev Deshpande <deshpande.jaidev@gmail.com>

On Fri, Dec 23, 2011 at 1:42 AM, Nadav Horesh <nadavh.horesh@gmail.com> wrote:

...

Currently in use are filters and array processing from numpy,

scipy.signal, scipy.ndimage and numexpr. I am looking for faster tools that cold be used without any extensive learning period.

Are filters all you're looking for? If yes, and if your application isn't too sophisticated, you can simply use NumPy arrays as filters. Or else try scikits-image.

What kind of filtering is it, and what's the application?

Best, Jaidev