针对新型虚拟LED显示屏提出一种基于平滑滤波器的虚拟显示模型和控制方法，该方法与传统方法相比能在降低数据带宽的条件下提高虚拟显示的灰度等级。分析了户外发光二极管显示屏(LED)的显示原理，指出提高LED显示器分辨率和灰度是提升其显示效果最直接的方法。介绍了传统虚拟显示的实现及控制原理和存在的问题，然后针对目前的虚拟LED显示屏提出一种虚拟显示的建模及控制方法，再用模拟和实验验证该方法的可行性及效果，最后与传统的虚拟显示建模及控制方法做对比。实验结果表明，使用本文提出的建模和控制方法呈现的图像清晰，图像细节不流失，准确地还原了图像原来真实的情况。本文提出的虚拟显示建模和控制方法能够准确还原图像信息，可以用于新型的虚拟LED显示屏。

Conventional printer characterisation models are generally based on the assumption that the densities of primary colours are additive. However, additivity failure frequently occurs in practice. We propose a novel grey component replacement (GCR) method based on the spectral density sub-additivity equations in this letter for spectral characterisation of a 4-ink colour printer. The method effectively correct the error caused by additivity failure. Real high-quality hardcopy samples are produced as evidence of the feasibility of the proposed method and to evaluate the model performance. Finally, the GCR model for characterising colour printer with high spectral and colorimetric prediction accuracy is established.

A spectral-based 8-ink characterization model is developed to accurately predict the recipe for a multi-ink printer. The 8-ink color separation method is a union of five 3-ink and six 4-ink combinations based on the cellular Yule-Nielsen spectral Neugebauer model with a recipe selection strategy. The performance levels of the forward and backward models are evaluated for individual ink combinations using printed testing samples. Furthermore, the spectral-based method performs better compared with the XYZ-based approach. On the basis of the backward model performance, a novel fast recipe selection strategy is proposed and estimated.