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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

The present invention is not limited to each of the above-described embodiments (including the modified examples), and is modifiable variously within the scope without departing from the spirit of the present invention. For example, in each of the above-described embodiments, the spectral reflectances obtained by printing the target ink on the base material are predicted; however, using the method of each of the above-described embodiments, spectral reflectances obtained by printing the target ink on black can also be predicted. Moreover, the above-described respective embodiments and the above-described respective modified examples can also be implemented in appropriate combination so as not to cause contradiction.

This application is an application claiming priority based on Japanese Patent Application No. 2021-078537 entitled “Spectral Characteristics Prediction Method and Spectral Characteristics Prediction Program” filed on May 6, 2021, and the contents of which are herein incorporated by reference.

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