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Method and computer program product for predicting spectral characteristics of ink applied to a base material

專利號
US11659131B2
公開日期
2023-05-23
申請人
SCREEN HOLDINGS CO., LTD.(JP Kyoto)
發(fā)明人
Kenichi Yokouchi
IPC分類
H04N1/60; H04N1/54
技術(shù)領(lǐng)域
gradation,spectral,prediction,value,color,relational,values,equation,target,obtained
地域: Kyoto

摘要

First relational equations which represent characteristics of respective sample colors are obtained, and for the respective sample colors, prediction values of spectral characteristics of characteristics-acquired gradation values for a prediction target color are obtained using the first relational equations. Difference values between the prediction values and actual measurement values are obtained, and a sample color for which a minimum difference value is obtained is selected as a reference color. A second relational equation that represents characteristics of the reference color is obtained, and a prediction value of spectral characteristics of a prediction target gradation value for the prediction target color is obtained using the second relational equation.

說明書

Herein, we focus on one intermediate gradation value that is a characteristics-acquired gradation value from among nine intermediate gradation values. Hereinafter, this focused intermediate gradation value will be referred to as a “focused gradation value.” Regarding such a Graph as illustrated in the portion B in FIG. 5, it is assumed that the curves for the maximum gradation value and the focused gradation value are as illustrated in FIG. 6 in the vicinity of a wavelength of 480 nm. In this case, the reflectance of the maximum gradation value is 0.15 and the reflectance of the focused gradation value is 0.52. In the present embodiment, such data obtained by combining the reflectance of the maximum gradation value and the reflectance of the focused gradation value with each other is treated as “combination data.” As mentioned above, data of the spectral reflectances is composed of 36 reflectances. Therefore, 36 pieces of combination data of the reflectances (the reflectances after normalization) of the maximum gradation values and the reflectances (the reflectances after normalization) of the focused gradation values are obtained. As illustrated in FIG. 7, each of the combination data is represented as one plot on a graph in which a horizontal axis represents the reflectance of the maximum gradation value and a vertical axis represents the reflectance of the focused gradation value. Hereinafter, the graph will be referred to as a “relational graph” for convenience. For example, the combination data based on the data illustrated in FIG. 6 is represented, on the relational graph, as a plot denoted by reference numeral 53 in FIG. 8. In this manner, in the present embodiment, 36 plots are represented on the relational graph. The calculation of the first relational equation corresponds to obtaining a curve (for example, a curve denoted by reference numeral 54 in FIG. 7) that passes through positions as close to the positions of these 36 plots as possible.

權(quán)利要求

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