基于墨量限制样本的打印机光谱特性化模型修正方法

打印机色彩特性化是打印色彩管理技术的关键。打印机特性化模型修正，是指针对因打印介质及墨盒更换等原因而造成的特性化模型精度下降问题，借助特定修正样本实现原始模型精度校正的过程。为进一步提高此类修正方法的建模精度与效率，提出了一种基于墨量限制样本的打印机光谱特性化修正方法，该方法充分利用新介质墨量限制过程所制备的墨量限制样本，在无需额外修正样本的条件下，实现了原始特性化模型的有效修正。研究以三类不同类型打印介质为例，以现有典型特性化模型修正方法为对照，通过实验对本文方法的有效性进行了验证。结果显示，该方法相较现有方法展现出更为优异的修正效果，在无需额外修正样本的条件下，其光谱修正精度可提升15%～20%，色度修正精度可提升10%～20%，实现了修正精度与效率的同步优化。

Updating a Spectral Printer Characterization Model Based on Ink Limitation Samples

Printer characterization is of crucial importance for the color management of color printing. The updating of spectral printer characterization model aims at maintaining the accuracy of the existed printer characterization model by certain corrective algorithm, when the printing substrate or ink cartidge is changed. In this study, a novel method was proposed to improve the modification performance for current printer characterization model, which derived the modification samples from ink limitation process. The superiority of the proposed method was verified by comparing its performance to a typical approach with regard to three different printing substrates. The experimental results show that the proposed approach outperformed its counterpart by promoting the spectral accuracy by 15%～20% while promoting the colorimetric accuracy by 10%～20%, with no need of extra sampling.