Abstract
On the basis of spectrophotometric color matching, the color difference weight factor is proposed and used in the thesis. The weight factor can be expressed as ω<sub>j</sub> = {{[(x(λ<sub>j</sub>)]<sup>2</sup> + [y(λ<sub>j</sub>)]<sup>2</sup> + [z(λ<sub>j</sub>)]<sup>2</sup>}[S(λ<sub>j</sub>)]<sup>2</sup>}<sup>½</sup> and obtained according to the assumption of Σ<sub>j</sub>(ΔX<sub>j</sub>)<sup>2</sup>+(ΔY<sub>j</sub>)<sup>2</sup>+(ΔZ<sub>j</sub>)<sup>2</sup> -> min, i. e., in the range of visible spectrum it is assumed that the square sum of tri-stimulus value deviation produced by spectrum deviation at each wavelength is minimal.Through comparison with spectrophotometric color matching, we find a new weight factor. The new factor multiplied by the variety of reflectivity is the color difference, which is cause by the difference of reflectivity between standard color and matching color. So we name the weight factor: color difference weight factor. The prediction of computer shows the color difference produced by the weight factor is smaller than that produced by the two weight factors which were designed by Schmid and Strockash.
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