also another problem is the many different ways you can do image compression, if you look at the second paper of the paper ankit linked, there are no few options - and those are only the ones they explicitly cited On Wed, Mar 19, 2014 at 2:35 PM, Ankit Agrawal wrote:

On Wed, Mar 19, 2014 at 4:41 AM, Ralf Gommers wrote:

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On Tue, Mar 18, 2014 at 5:20 PM, Stuart Mumford wrote:

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As point of note, if you are looking into doing Python based JPEG200 you should look over the glymur project ( https://github.com/quintusdias/glymur) which is Python wrappers around the OpenJPEG C lib. If you can code the compression algorithm in Python, that library might provide you some framework for dealing with the meta data and other things(which are in Python in glymur), save you re-inventing the wheel.

I just had a look at Glymur, and that's the kind of code that's useful but you really don't want to write. I suggested JPEG 2000 simply because it's a well-known wavelet based algorithm. The scope of Ankit's GSoC should be *algorithms* imho; dealing with file formats, metatdata, etc. would be a huge time sink and out of scope for both scipy and scikit-image I'd think.

I concur with Ralf. IMHO, the complete implementation of JPEG 2000 is not something I can manage completely in two and a half weeks. Meanwhile, I am going through the most cited paperhttps://www.math.purdue.edu/~lucier/692/DJL-image-compression.pdfthat I got in this area 'Image Compression Through Wavelet Transform Coding', which seems big too. I think maybe Josh has knowledge about wavelet based compression techniques?

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SunPy has had a lot of contact from the Glymur dev he is a helpful guy.

Stuart

On 18 March 2014 16:16, Stéfan van der Walt wrote:

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www.jpeg.org/jpeg2000guide/papers/madamsjp2k.pdf

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