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

專利號(hào)
US11659131B2
公開日期
2023-05-23
申請(qǐng)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

As described above, in a case in which the number of characteristics-acquired gradation values is one, then in Step S150, regarding the process target gradation value between the maximum gradation value and the characteristics-acquired gradation value, the equation that represents the relationship between the spectral reflectances of the maximum gradation value and the spectral reflectances of the process target gradation value with the spectral reflectances of the maximum gradation value being taken as the first reference and with the spectral reflectances of the characteristics-acquired gradation value being taken as the second reference is obtained as the second relational equation; and regarding the process target gradation value between the characteristics-acquired gradation value and the minimum gradation value, the equation that represents the relationship between the spectral reflectances of the characteristics-acquired gradation value and the spectral reflectances of the process target gradation value with the spectral reflectances of the characteristics-acquired gradation value being taken as the first reference and with the spectral reflectances of the minimum gradation value being taken as the second reference is obtained as the second relational equation.

In the above-described example, only the gradation value of 0.5 is the characteristics-acquired gradation value. That is, the number of characteristics-acquired gradation values is one. In a case in which the number of characteristics-acquired gradation values is 2 or more, the second relational equation is obtained as follows.

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