Autosophy data / image compression and encryption
Authors: Klaus Holtz, Eric Holtz, Diana Kalienky.
Published / Presented at: Proceedings of SPIE. SPIE --- The International Society for Optical Engineering. Mathematics of Data / Image Coding, Compression, and Encryption VII, with Applications. 4 – 5 August 2004, Denver, Colorado, USA. Volume 5561.
Level: Expert – Data compression and encryption
Abstract: Multimedia data may be transmitted or stored either according to the classical Shannon information theory or according to the newer Autosophy information theory. Autosophy algorithms combine very high "lossless" data and image compression with virtually unbreakable "codebook" encryption. Shannon's theory treats all data items as "quantities", which are converted into binary digits (bit), for transmission in meaningless bit streams. Only "lossy" data compression is possible. A new "Autosophy" theory was developed by Klaus Holtz in 1974 to explain the functioning of natural self-assembling structures, such as chemical crystals or living trees. The same processes can also be used for growing self-assembling data structures, which grow like data crystals or data trees in electronic memories. This provides true mathematical learning algorithms, according to a new Autosophy information theory. Information in essence is only that which can be perceived and which is not already known by the receiver. The transmission bit rates are dependent on the data content only. Applications already include the V.42bis compression standard in modems, the gif and tif formats for lossless image compression, and Autosophy Internet television. A new 64bit data format could make all future communications compatible and solve the Internet's Quality of Service (QoS) problems.
Keywords: Autosophy, Information theory, Data Compression, Image Compression, Encryption, Internet video, Quality of Service (QoS)
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