[Digikam-devel] Haar algorithm into CImg...

[Marcel Wiesweg]

> * New features :
>      - Added functions 'CImg<T>::get_haar()', 'CImg<T>::haar()' allowing to
> compute the direct and
>      inverse Haar multiscale transform on 2D or 3D images.
>
> Like you know, we will store and use Haar matrix into database to perform
> image fuzzy searches and duplicate items).
>
> What do you think to use this way to compute Haar matrix ?
>
> Alternative way is to import Haar algorithm from ImgSeek :
>
> http://imgseek.svn.sourceforge.net/viewvc/imgseek/trunk/imgseek-python/imgS
>eekLib/haar.cpp?revision=56&view=markup
> http://imgseek.svn.sourceforge.net/viewvc/imgseek/trunk/imgseek-python/imgS
>eekLib/haar.h?revision=56&view=markup
>
> ... But this can be more complicated to do...
>
> Your viewpoints ?

If there are no strong reasons not to use CImg in this case (very slow), which 
I dont believe - in ImgSeek it was written in Python with native code parts 
after all - then it comes just right in time to save us some time, doesnt it?

>
> Gilles Caulier