We apply multivariate error-propagation analysis to color-signal trans
formations. Results are given that indicate how linear, matrix, and no
nlinear transformations influence the mean, variance, and covariance o
f color-measurements and color-images. Since many signal processing pa
ths include these steps, the analysis is applicable to color-measureme
nt and imaging systems. Expressions are given that allow image noise o
r error propagation for a spectrophotometer, colorimeter, or digital c
amera. In a computed example, error statistics are propagated from tri
stimulus values to CIELAB coordinates. The resulting signal covariance
is interpreted in terms of CIELAB error ellipsoids and the mean value
of color-difference measures, Delta E-ab and Delta E-94*. The applic
ation of this analysis to system design is also illustrated by relatin
g a Delta E-94 tolerance to equivalent tristimulus-value error statis
tics. (C) 1997 John Wiley & Sons, Inc.