By Ouyang, Yun
Choice of chosen, peer reviewed papers from the 2014 third China educational convention on Printing and Packaging, October 24-25, 2014, Beijing, China. The 118 papers are grouped as follows: bankruptcy 1: colour and Optical technology and know-how; bankruptcy 2: photograph Processing know-how; bankruptcy three: utilized details applied sciences in electronic Publishing; bankruptcy four: Printing Engineering know-how; bankruptcy five: Packaging Engineering know-how; bankruptcy 6: meals Packaging and upkeep; bankruptcy 7: Printing and Packaging apparatus; bankruptcy eight: Paper and similar fabric expertise; bankruptcy nine: Ink and R. Read more...
summary: choice of chosen, peer reviewed papers from the 2014 third China educational convention on Printing and Packaging, October 24-25, 2014, Beijing, China. The 118 papers are grouped as follows: bankruptcy 1: colour and Optical technology and know-how; bankruptcy 2: picture Processing expertise; bankruptcy three: utilized details applied sciences in electronic Publishing; bankruptcy four: Printing Engineering know-how; bankruptcy five: Packaging Engineering expertise; bankruptcy 6: nutrients Packaging and protection; bankruptcy 7: Printing and Packaging gear; bankruptcy eight: Paper and comparable fabric know-how; bankruptcy nine: Ink and R
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Extra resources for Advanced Printing and Packaging Materials and Technologies
Neugebauer printing color model can be divided into tristimulus model and spectral model in form. After color subarea, if these two models are directly applied to multicolor separation, the accuracy of color separation is far from enough. A relatively effective way is to conduct cellular division for device independent color space and achieve higher accuracy through measuring more training samples. This article aims at CMYKRGB seven color separation applications and after performing color separation for two Neugebauer models, cellular divisions with different grades would be carried out successively.
Cn Keywords: Color Rending Index; LED Light Source; Fluorescent Light Source; Printed Sample; Color Preference Abstract. In order to assess the performances of different color rendering index (Ra, CRI, CQS, nCRI, R96a). The LED (light-emitting diode), fluorescent light sources and 30 printed color samples were used in our experiment. 20 observers were organized to carry out the color preference experiment, the visual data were accumulated to test the performances of the light sources and the results indicated that existing color rendering index have some deficiencies to assess the quality of the light source, which were needed to be modified for the theory of color science and industry application.
The results from the table and figure reveal that the three models (except the Pakistani model) can all predict three races well. 3 Comparison of the performance of four models Discussion From the data obtained, the polynomial model coefficients and the dataset of the training samples have an effect on the accuracy of the reconstruction. Also,the11 polynomial terms and three components can predict the spectral reflectance well. When using Chinese and Caucasian data as training samples, the model can predict the reflectance of Chinese and Caucasian skin color very well.
Categories: Computer Vision Pattern Recognition