【摘要】 针对目前数码打样机小色差样张ΔE76色差评价方法与视觉评价差异大的问题,提出了基于视觉特性的色差评价方法。首先设计了用于数码打样机用的小色差样张;然后采用感知法对数码打样机输出的小色差样张进行视觉评价,并将人眼恰能识别的色差利用ΔE76、ΔE94、ΔEcmc、ΔE00和ΔIm色差评价模型进行客观评价;最后采用均方根误差(RMSE)、性能评价因子(PF/3)、样品决定系数(R2)等参数,获得各色差评价模型相对视觉评价色差的预测性能。结果表明:与视觉评价最为一致的是ΔE00和ΔIm,与视觉评价差别最大的是ΔE76。与ΔE00色差评价模型相比,ΔIm色差评价模型不需要复杂的系数修正,计算简单,更适合作为数码打样机的色差评价模型在生产中应用。更多还原

【Abstract】 In order to solve the problem of the significant difference between ΔE76 and visual evaluation for small color-difference proofs of digital proofing machine,new evaluation methods have been put forward in this paper based on visual characteristics.First,small color-difference proofs are designed in this experiment for digital proofing machine.Then,a visual perceptibility assessment method is applied on small color-difference proofs,and the just-noticeable-differences were evaluated with the model of ΔE76,ΔE94,ΔEcmc,ΔE00 and ΔIm.The measured data were appraised using color root-mean-squared errors(RMSE),performance evaluation factors(PF/3),sample decisive coefficients(R2) in order to obtain their prediction performance.The results show that the ΔE00 and ΔIm are closer to the subjective color difference,and the ΔE76 is the worst one.Benefited from its simple calculation method,the ΔIm method is better than other models as the color-difference evaluation model of digital proofing machine for production.更多还原