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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

In the present embodiment, in Step S150, the second relational equation is calculated while including the spectral reflectances or the characteristics-acquired gradation value in the reference. For example, in a case in which eleven gradation values in increments of 0.1 from the minimum gradation value (gradation value of 0) to the maximum gradation value (gradation value of 1) are the prediction target gradation values, the spectral reflectances of these eleven gradation values are obtained regarding the reference color, and only the gradation value of 0.5 is the characteristics-acquired gradation value, then a reference when creating a equation is differentiated between second relational equations corresponding to prediction target gradation values with gradation values of 0.5 or more and second relational equations corresponding to prediction target gradation values with gradation values of 0.5 or less. Specifically, each of the second relational equations corresponding to the prediction target gradation values of 0 or more and 0.5 or less is created with the spectral reflectances of the gradation value of 0.5 being taken as a first reference and with the spectral reflectances of the gradation value of 0 being taken as a second reference (see a portion A in FIG. 13), and each of the second relational equations corresponding to the prediction target gradation values of 0.5 or more and 1 or less is created with the spectral reflectances of the gradation value of 1 being taken as the first reference and with the spectral reflectances of the gradation value of 0.5 being taken as the second reference (see a portion B in FIG. 13). Note that, as the second relational equation for predicting the spectral reflectances of the gradation value of 0.5 for the prediction target color, a second relational equation created with the spectral reflectances of the gradation value of 0.5 being taken as the first reference and with the spectral reflectances of the gradation value of 0 being taken as the second reference may be adopted, or a second relational equation created with the spectral reflectances of the gradation value of 1 being taken as the first reference and with the spectral reflectances of the gradation value of 0.5 being taken as the second reference may be adopted. Moreover, the gradation value of 0.5 is the characteristics-acquired gradation value, and therefore, for the spectral reflectances of the gradation value of 0.5 for the prediction target color, actual measurement values may be directly applied thereto without using the second relational equation. Also for the spectral reflectances of the maximum gradation value (gradation value of 1) and the minimum gradation value (gradation value of 0) for the prediction target color, actual measurement values can also be directly applied thereto without using the second relational equations.

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