Lossless still image compression

Conventional still image compression (GIF, TIF, LZW) can be improved using universally compatible data formats.

Application ready for use

Abstract: A new image compression format could be developed to replace the conventional gif and tif formats for lossless still image compression. This may provide much higher compression ratios, improved resistance to transmission errors, a universal hardware-independent 16bit data format, and optional "codebook" encryption. Using software, encoding speed may be less than a second per image. Hardware chipsets are necessary for real-time video encoding speed, but real-time video 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 (Internet website icons) and creates great sensitivity to transmission errors. The new image compression format, in contrast, uses a fixed -- pre-grown -- hyperspace pattern library. The same algorithms can provide either "lossless" compression according to the Shannon theory or "visually lossless" compression according to the Autosophy theory.

Applications: This new still image compression method may greatly improve the transmission and storage of large high-resolution images or pictures, such as scientific or medical images. The method is especially suited for speeding up Internet website images for faster access.

Keywords: Autosophy, Internet imaging, Image Compression, Information theory, gif format, tif format, Encryption

Available downloadable documents:

Publication 2003 – Still image compression – Website htm

Recent publication 2006 – Network-centric systems – Webpage htm

Recent publication 2006 - Satellite communication – Webpage htm