Color characterization model for multi-color printing system has become one of the most important research content in high-fidelity reproduction techniques. But, none of the related research considered the effect of multi-level control on color characterization. A color characterization model for multi-level and multi-color printing system was presented based on cellular Yule-Nielson Spectral Neugebauer (CYNSN) model. In the model, multi-level dynamic cell division method based on ink coverage-lightness curve of each level was proposed. Shared regional correction and cell searching algorithm were introduced into backward characterization model establishment which improve the performance of backward model significantly. Finally, the experiments of color gamut discussion, forward model evaluation and backward model evaluation indicate that the characterization model expands the color gamut of printing system, in the meantime, guarantees high conversion accuracy.
An inverse display color characterization model based on an optimized geometrical structure
