Author Affiliations
Abstract
1 State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China
2 Department of Colour Science, University of Leeds, Leeds LS2 9JT, UK
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.
光谱特征化 灰份替代 光谱密度 叠加特性缺失 次叠加特性方程。 330.1690 Color 330.1715 Color, rendering and metamerism 330.1730 Colorimetry 300.6550 Spectroscopy, visible Chinese Optics Letters
2011, 9(7): 073301