By Ouyang, Yun
Number 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 technological know-how and expertise; bankruptcy 2: picture Processing know-how; bankruptcy three: utilized info applied sciences in electronic Publishing; bankruptcy four: Printing Engineering know-how; bankruptcy five: Packaging Engineering know-how; bankruptcy 6: nutrition Packaging and maintenance; 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 technological know-how and expertise; bankruptcy 2: photo Processing know-how; bankruptcy three: utilized details applied sciences in electronic Publishing; bankruptcy four: Printing Engineering expertise; bankruptcy five: Packaging Engineering expertise; bankruptcy 6: foodstuff Packaging and upkeep; bankruptcy 7: Printing and Packaging apparatus; bankruptcy eight: Paper and comparable fabric expertise; bankruptcy nine: Ink and R
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Additional info for Advanced Printing and Packaging Materials and Technologies
Ronnier Luo, and Peter A. Rhodes: COLOR research and application, 2000: 76-84.  Ansari K, Amirshahi S H, Moradian S: Coloration technology, 2006, 122(3): 128-134. Xiandou Zhang, Haisong Xu: Opt. Soc. Am. 2008, 25(2): 371-378. Applied Mechanics and Materials Vol. com Keywords: Spectral Separation; Color Constancy; Spectral Printer Modeling Abstract. Color constancy is a key metric for evaluating the color reproduction performance. This contribution proposed a color constancy based spectral separation method for muti-ink printers from the prospect of color perception.
2: N=H×M . (2) A sufficient number of sample color lump was printed and then measured of its L, a, b values. In the condition of knowing dot area rate value of the color sample and L, a, b values, the coefficient matrix H could be obtained according least square method. Now, the color separation model was build. 3: H=(MT M) -1×MT×N . (3) Experimental Experimental Equipment and Materials. Multi-color separation modeling experiment was conducted for Canon iPF 5100 color ink-jet printer. The printer had CMYKRGB primary color inks and controlled the single channel ink and drive to print by ONYX PRODUCTION HOUSE software.
At last, the color difference between the corresponding color and the reference color is used to quantify the color inconstancy. In this research, the CMCCON02 and CAT02 were adopted, as described by Luo et al . 1 Calculating procedure of CMCCON02 color inconstancy index Color Constancy Based Spectral Printer Modeling The spectral printer modeling process was based on our previous work, for more details please refer to reference [7-9]. Firstly, we divided a CMYKRGB printer into five sub-printers, which were CMYK, RMYK, CGYK, CMBK and RGBK, according to Kubelka–Munk Theory based spectral prediction and convex hull based gamut volume calculation .