@Juan and Stuart : Thanks for chipping in. On Tue, Mar 18, 2014 at 8:42 PM, Stéfan van der Walt <stefan@sun.ac.za>wrote:

Hi Ankit

On Tue, Mar 18, 2014 at 1:17 PM, Ankit Agrawal <aaaagrawal@gmail.com> wrote:

...

As a part of my proposal on integrating Discrete Wavelet

Transforms

...

and related algorithms into scipy.signal, I need some suggestions on some image compression algorithms that I can implement into scikit-image in 3 weeks. JPEG 2000 that uses DCT is one that is on the cards currently. Anyone with some knowledge on wavelet based image compression techniques can comment about some popular algorithms in this area. I am looking into a few papers but I found the literature on this topic relatively dispersed.

Glad to hear you may be working (partially) on scikit-image again this summer!

Yes, part of it is including a private module `_pywt` in scikit-image to support Image Denoising methods, for example Tristan's PR<https://github.com/scikit-image/scikit-image/pull/760> .

JPEG2000 is perfect--well established and already supported by external

tools.

I could not find a paper on JPEG 2000. I found this link<http://www.jpeg.org/jpeg2000guide/guide/contents.html>, but unfortunately it is open for members only. Thanks. Good luck,

Stéfan