A three-stage color video compression system capable of 1,000-to-1 compression has been implemented in real time on a VME based prototype system. Stage 1 digitizes the image at CCD camera resolution, and splits the data into color and contrast channels, in conformance with human perceptual channels. Stage 2 maps coordinates of color imagery to mimic the geometry of the human retinotopic mapping from retina to brain. In parallel, stage 2 also applies spatial frequency masks to the contrast channel, extracting texture patches resembling the patterns found in so-called simple cells of the visual cortex. Stage 2 therefore corresponds to a geometric `impedance match' to human visual perceptual channels, achieving compression by discarding information which cannot be perceived. Stage 3 consists of conventional numeric data compression. The system has been prototyped and demonstrated on real time color imagery.
Carl F. R. Weiman,
"Video compression by matching human perceptual channels", Proc. SPIE 2239, Visual Information Processing III, (24 June 1994); doi: 10.1117/12.179283; https://doi.org/10.1117/12.179283