Abstract
The use of color theory (particularly color metrics) is shown in the display of 2-D vector fields. Extant concepts in color theory are applied to data spaces to facilitate mapping from data into color. Novel color transformations are shown; one is a direct improvement over standard Landsat imagery, one is a means of showing in a single image the results of analyzing an image of arbitrarily large dimensionality, and another is an improved method of displaying geophysical attributes that reduces the number of separate displays by a factor of three. A new model for the inversion of a dot-matrix color machine is given. A method is formulated and demonstrated to convert a numerical image to halftone printed copy and avoid several color-contaminating physical steps previously necessary. Analysis of a differentiable color image machine by its Jacobian matrix is explored and then extended to discrete (non-differentiable) machines. Finally, an inverse problem is formulated -- the extraction of quantitative information from color imager, in the case of one principal continuous variable and subsidiary variable having lesser color impact.
Juday, Richard D. (1986). Colorimetry and the multichannel image. Texas A&M University. Texas A&M University. Libraries. Available electronically from
https : / /hdl .handle .net /1969 .1 /DISSERTATIONS -437521.