Three-Dimensional Control of Color Management Systems - Control of Color Imaging Systems: Analysis and Design - page 360

(a)

(b)

FIGURE 7.36 (a) Vector plots between colors produced with A2B1 (forward) and colors
produced with combined maps (B2A1 (inverse) and A2B1 (forward)) withMM-based inversion
(left: view from the bottom, right: view from the side). (b) Vector plots between colors produced
with A2B1 (forward) and colors produced with combined maps (B2A1 (inverse) and A2B1
(forward)) with control-based inversion (left: view from the bottom, right: view from the side).

DE a * histogram for in-gamut round
trip colors is shown in Figure 7.35. Most round trip colors are not on the grid. The
pro

the bottom of the gamut for pixels outside of it. A

le inaccuracy is largely due to the inaccuracy caused by interpolation.
Although nodes have converged to nearly zero

DE, most inaccuracies are near the
region below the CMY gamut (see Figure 7.36). These errors can be associated to
GCR methods used in this process. Also, the effective gamut utilization with this
kind of GCR was found to be around 84%, which means a loss of 16% printable
volume. This is largely associated with the multidimensional pro

le LUT with the
3-to-3 inversion and GCR. Figures 7.37 through 7.40 show the visual effects of
inversion algorithms on various images as compared to the original image. Clearly,
all other things being equal, objectionable color contents (shifts, contours, blocking,
etc.) can be associated to inversion algorithms.