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Characterization of Display Based on Polynomial Regression Model

Hong Lian

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Abstract

RGB to Lab color conversion model was established using polynomial regression algorithm after screen calibration and characterization of display with color management software and spectrophotometer. The influence of term number of polynomial regression model and specimen on characterization precision of display was analyzed with experiments. The result showed that polynomial regression prediction model with three orders,three elements,and twenty terms has higher accuracy,with color difference about 2. 5.

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What this paper is about

RGB to Lab color conversion model was established using polynomial regression algorithm after screen calibration and characterization of display with color management software and spectrophotometer. The influence of term number of polynomial regression model and specimen on characterization precision of display was analyzed with experiments. The result showed that polynomial regression prediction model with three orders,three elements,and twenty terms has higher accuracy,with color difference about 2. 5.

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Available abstract

RGB to Lab color conversion model was established using polynomial regression algorithm after screen calibration and characterization of display with color management software and spectrophotometer. The influence of term number of polynomial regression model and specimen on characterization precision of display was analyzed with experiments. The result showed that polynomial regression prediction model with three orders,three elements,and twenty terms has higher accuracy,with color difference about 2. 5.

Key concepts: Polynomial regression, RGB color model, Polynomial, Regression analysis, Characterization (materials science), Color management, Polynomial and rational function modeling, Regression

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