This category covers lossy compression methods that can’t be pinned down to one of the more refined topics, such as JPEG or MP3. In some cases, the items here are esoteric algorithms that don’t’ merit their own topics. In other cases, they span one or more existing topics. The unifying theme is of course that they are lossy. This means that after a compression/decompression cycle, the data set will be modified. Ideally, when compression image or sound files, the loss is either minimal or undetectable by human observors.
Multimedia Computing and Networking 2002
The term “Multimedia” obviously covers a lot of different topics. Compression is one of them, and there is certainly a great deal to learn about compression and media formats at this conference.
http://lass.cs.umass.edu/~shenoy/conf/mmcn02/
Wikipedia entry: Lossy Compression
This Wikipedia entry describes lossy data compression. In addition to a nice overview, includes links to many lossy compressors for still image, moving image, music and sound.
http://en.wikipedia.org/wiki/Lossy_compression
Irreversible Kompressionsalgorithmen
A study of lossy compression algorithms, including discussion of JPEG, MPEG, and the DCT.
U of F Says Compressing Medical Images Risky
A study at the University of Florida showed that even mildly compressing coronary angiograms led to an increase in diagnostic errors.
http://www.eurekalert.org/pub_releases/2000-05/UoF-Itda-3105100.php
Compression of Multimedia Information
by A.Ratushnyak. A short discussion related to the compression of audio and pictures. A Russian version of the paper can be found at
http://geocities.com/eri32/mmi.txt.
A Library readher had this to say: Worth reading 2 or 3 times.
http://geocities.com/eri32/mmd.htm
Publications by Wil Osberger
Wil Osberger has published a bunch of papers dealing the perceptual image assessment. You can see most of them here. While this isn’t strictly a compression topic, it is obviously of critical importance to lossy compression techniques.
http://web.archive.org/web/20010428062527/http://www.scsn.bee.qut.edu.au/~wosberg/pub.htm
GeoEnergy, Inc.
Their home page advertises GeoEnergy as “The leader in fast data compression algorithms for the oil and gas industry.” Quite a few algorithms are listed, all of which work on various types of collected seismic data.
Signal and Image Processing Group
The University of Bath has a group that is advertised as “world leaders in still image and video coding.” They appear to be interested in lossy compression based on DCT, Wavelets, and Fractal compression. This is their home page.
