Contributing in Image Compression Algorithms

[Ankit Agrawal]

@MIT : Maybe this
example<http://scipy-lectures.github.io/packages/scikit-learn/index.html#k-means-clustering>is
what you were talking about?

@Josh : I am a bit ignorant of the use-cases of Image Compression apart
from the obvious ones(Saving memory by exploiting human's psycho-visual
limitations like JPEG standard). Can you explain in brief how and where
they can be used as mentioned in your previous post?

Regards,
Ankit Agrawal,
Communication and Signal Processing,
IIT Bombay.


On Sun, Feb 2, 2014 at 9:00 PM, Stéfan van der Walt <stefan at sun.ac.za>wrote:

> On Sun, 02 Feb 2014 16:35:27 +0530, MIT SHAH wrote:
> > I am interested in compressing an image by "K-Means Algorithm", which
> > compresses an image into number of colors told by us ( for e.g. 16 colors
> > ). It is a machine learning algorithm, which works based on the concept
> of
> > clustering.
> > Is it available already (in freeimage, PIL) ??
>
> I think this is pretty well covered by scikit-learn--check it out!
>
> http://scikit-learn.org
>
> Cheers
> Stéfan
>
> --
> You received this message because you are subscribed to the Google Groups
> "scikit-image" group.
> To unsubscribe from this group and stop receiving emails from it, send an
> email to scikit-image+unsubscribe at googlegroups.com.
> For more options, visit https://groups.google.com/groups/opt_out.
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-image/attachments/20140203/e4266925/attachment.html>