Research on Small Color-difference Evaluation of Digital Proofing Machine
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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ΔEE76、ΔEE94、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。Abstract: In order to solve the problem of the significant difference between ΔE 76 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 proo-fing 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, ΔE 94, ΔE cmc, ΔE 00 and ΔI m .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 ΔE 00 and ΔI m are closer to the subjective color difference, and the ΔE 76 is the worst one.Benefited from its simple calculation method, the ΔI m method is better than other models as the color-difference evaluation model of digital proofing ma-chine for production.
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