Parameter Optimization Factor Formula Based On The Color Space CIELAB Color

With the improvement of living standards, more and more strict with colordifference. Existing color difference formula of the evaluation results of color andthe inconsistency of the human eye visual perception is more and more attention. Inorder to better response to the human eye to distinguish the color feature requiresoptimal color difference formula of the related factors affecting the use effect. Thispaper takes four typical color difference formula in the CIELAB color space, and theformula about the factor optimization study of parameters, to improve the colordifference formula in the aspect of the human eye can perceive color difference.This paper first analyzes the research status quo of the color difference formula.Through the analysis found that the current mainstream color difference formula iscommon expression is inconsistent with the visual sensitivity shortcomings, alsofound that if the color difference formula to optimize the parameters in the factorand can improve the application effect of color difference formula. Therefore, thispaper designs the color vision about color shading parameters optimized factorexperiment.Choosing LCD display for color carrier, this paper will research focus fromobject color transform to stimulate the color sample. Through software control toevaluate visual experimental color. On the premise of strict control of environmentvariables, adopted various methods in the psychological physics color visualdiscrimination.In this paper, based on the CIELAB color space, four typical color differenceformula (CIELAB, CME, CIE94and CIEDE2000) factor parameters optimizationresearch. Choosing the nine representative from color space for the standard color,the color of the center around to fine-tune the color data standard color samplestimulated color sample. Through the standard color sample and stimulate the colorsample visual experiments get visual color difference between the experimentaldata.Color difference evaluation factors PF/3values that can reflect the formulacalculation results and the visual evaluation results, the difference of the factoranalysis of parameters before and after optimization of PF/3value, get the parameter factor optimization of function to improve the effect of color differenceformula.The last of this paper reviewed the whole optimization of the experimentalprocess, analyzes the deficiency in the process of optimization research, put forwardits own ideas. Color difference formula optimization is a systematic work, also needto update the data in a timely manner to meet the demand of the reality.