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Prediction of Color Reproduction using the Scattering and Absorption Coefficients derived from the Kubelka-Munk model in Package Printing

패키지 인쇄에 있어서 Kubelka-Munk Model 유래의 산란 및 흡수 계수를 이용한 색상 재현성 예측

  • Received : 2021.11.18
  • Accepted : 2021.12.24
  • Published : 2021.12.31

Abstract

With the development of package printing technology, the package has expanded from the basic function of protecting products to the marketing function through package design. Color, the visual element that composes the package design, is delivered to the consumer most quickly and effectively. As color marketing of these package designs expands, accurate color reproduction that the product wants to express is becoming more important. The color of an object is transmitted by absorption and scattering of light. Spectral reflectance refers to the intensity of light reflected by an object at different wavelengths by the spectral effect. As a result, the color of the object is expressed in various colors. Packaged printing inks have their own absorption and scattering coefficients, and the Kubelka-Munk model for color reproduction and prediction defines the relationship between these correlation coefficients through reflectance. In the Kubelka-Munk model for color reproduction and prediction, the relationship between the absorption and scattering coefficients (K/S) of printed material is predicted as the sum of the K/S values according to the mixing ratio of all color ink used. In this study, the reflectance of the measured print is reversely calculated at the mixing ratio of print ink using the Kubelka-Munk model. Through this, the relationship value of the ink-specific absorption/scattering coefficient constituting the final printed material is predicted. Delta E is derived through the predicted reflectance, and the similarity between the measured value and the predicted value is confirmed.

Keywords

Acknowledgement

This research was a part of the project titled 'forest science-technology R&D program (2021383A00-2123-0101)', funded by the Korea Forestry Promotion Institute (Korea National Arboretum), Korea. This research was a part of the project titled 'Development to solve current issues in seafood distribution (Project number: 1525011894)', funded by the Ministry of Oceans and Fisheries, Korea.

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