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  • Bijective BWT (6 Comments)

    David Scott has written a bijective BWT transform, which brings all the advantages of bijectiveness to BWT based compressors. Among other things, making BWT more suitable for compression-before-encryption and also give (slightly) better compression.

  • Asymmetric Binary System (113 Comments)

    Jarek Duda’s “Asymmetric Binary System” promises to be an alternate to arithmetic coding, having all the advantages, but being much simpler. Matt has coded a PAQ based compressor using ABS for back-end encoding. Update: Andrew Polar has written an alternate implementation of ABS.

  • Precomp: More Compression for your Compressed Files (3 Comments)

    So many of today’s files are already compressed (using old, outdated algorithms) that newer algorithms don’t even get a chance to touch them. Christian Schneider’s Precomp comes to rescue by undoing the harm.

  • On2 Technologies is Hiring

    There aren’t too many companies working on cutting edge codecs, and of those few this one is hiring. Best of luck.

  • China’s AVS Specifications Available (2 Comments)

    Its old news that China has developed their own Advanced Video Standard to avoid high licensing fees. English translation of the standard is now available, along with the IPR policy. Finally something technical that you can get your hands on to feed your appetite.

Mammogram followup

Posted by Mark Nelson on 20th December 2005 | Permanent Link

Earlier today I posted a link to an article describing interesting results from compression on mammograms. I mentioned that the press release from Purdue didn’t go into any details on the compression method, so I went straight to the author. In response to my email, Bradley Lucier had this to say:

It’s wavelet compression with scalar quantization with the quantization levels tweaked to try keep what information I understood the radiologists needed for diagnosis. I used fifth-order biorthogonal wavelets with piecewise constant duals (see page 272 of Daubechies’s “Ten Lectures on Wavelets”) and a quantization goal to minimize the error in $L_2$, see the paper “Image Compression through Wavelet Transform Coding” on my website.

In case you’re interested, you can find a link to a PDF version of the paper here.

Thanks for the quick response, Brad!

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This entry was posted on Tuesday, December 20th, 2005 at 7:42 pm by Mark Nelson. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.