A modification of color difference formula based on CIEDE2000 is developed. A residual weighting factor was acquired to enhance the predictability of CIE color-difference formula effectively. The residuals, ?E', were calculated between CIEDE2000 difference values, ?E 00 , and visual results, ?V. The weighting function was derived by using three types of polynomial regression, including RE-common, RE-divisional and RE-multiple. The coefficients of polynomial equation were determined to predict the minimized residuals, ?E P '. The modified color difference values, ?E RE , were obtained by calculating ?E 00  with ?E P '. A combined experimented dataset (COM) was formed, which was consisted of four reliable color-difference datasets. The equation was tested together with the other CIE color-difference formulae using the combined dataset and each of blue, gray and dark datasets. The results showed that the modified formula performed better than CIEDE2000.
['Y.C. Wei', 'Cheng-Hua Liu', 'Mei-Chun Lo']
A Modified Development of CIE Color Difference Formula via Polynomial Regression Approaches