Paper
10 January 2003 Autosophy still image compression
Author Affiliations +
Proceedings Volume 5018, Internet Imaging IV; (2003) https://doi.org/10.1117/12.473370
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
A new image compression format is being developed to replace the gif and tif formats for Internet image transmission. Based on the Autosophy information theory, the new format is especially suited to the Internet. Features include much higher compression ratios, improved resistance to the Internet's Quality of Service (QoS) problems, a universal hardware-independent communication format, and optional codebook encryption for secure communications. The all 16 bit data format allows the mixing of other Internet data types (including the live video, sound, text, and random bit files) within a universal communication protocol. Encoding speed is less than a second per image. Hardware chipsets are necessary for real-time encoding speed, but real-time retrieval can be achieved using software only. Conventional lossless image compression formats use the dynamically growing tree libraries of the LZW code. That yields minimal compression for small images and creates great sensitivity to transmission errors. The new image compression format, in contrast, uses a fixed pre-grown hyperspace pattern library. That provides much higher compression ratios, increased error resistance, and even optional encryption. The same algorithms can provide either lossless compression according to the Shannon theory or visually lossless compression according to the Autosophy theory.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Klaus E. Holtz, Eric S. Holtz, and Diana Kalienky "Autosophy still image compression", Proc. SPIE 5018, Internet Imaging IV, (10 January 2003); https://doi.org/10.1117/12.473370
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Cited by 3 scholarly publications.
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KEYWORDS
Image compression

Image resolution

Image transmission

Receivers

Internet

Computer programming

Image quality

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