Resumen

CONDE, J. et al. CIE-XYZ fitting by multispectral images and mean square error minimization with a linear interpolation function. Rev. mex. fis. [online]. 2004, vol.50, n.6, pp.601-607. ISSN 0035-001X.

We present a proposal to achieve accurate color reproduction by fitting the CIE-XYZ tristimulus values of a given color stimulus, and using the 16-band multispectral images, as well as the CIE-XYZ tristimulus values of a known color test chart. We propose a simple linear combination of the multispectral images as interpolation function, which is equivalent to fitting the data to a straight line in a 16-dimentional space. By using this interpolation function, we minimize the merit function of the mean error between the measured and estimated CIE-XYZ tristimulus values of the color test chart. We show, by making a visual comparison between the results achieved using this proposal and the results achieved using a spectral reflectance estimation technique, that the proposed interpolation function when using 16-channel multispectral images produces high quality results in terms of color reproduction fidelity.

Palabras llave : Multispectral images; CIE-XYZ tristimulus values fitting; interpolation function; mean square error minimization; ΔE_ab color difference.

        · resumen en Español     · texto en Inglés     · Inglés ( pdf )