By Yun Ouyang, Min Xu, Li Yang, Yujie Ouyang
This publication features a collection of reviewed papers offered on the 2015, 4th China educational convention on Printing and Packaging, which was once hung on October 22-24, 2015 in Hangzhou, China. The convention used to be together geared up by way of the China Academy of Printing know-how, Beijing Institute of photo verbal exchange, and Hangzhou Dianzi college. With three keynote talks and two hundred offered papers on image communications, packaging applied sciences and fabrics, the convention attracted greater than four hundred scientists.
These court cases hide the hot examine results on colour technological know-how and know-how, image-processing expertise, digital-media know-how, printing-engineering know-how, packaging-engineering expertise and so forth. they are going to be of curiosity to school researchers, R&D engineers and graduate scholars in photo communications, packaging, colour technology, picture technology, fabrics technological know-how, laptop technological know-how, electronic media and community expertise fields.
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Extra resources for Advanced Graphic Communications, Packaging Technology and Materials
1 RMS and STD error of eight color cards randomly chose from training set and testing set No. 5 Conclusion In this paper, we reconstructed the spectrum reflectance based on neural network and basis vectors. Compared with other traditional methods, neural network expands the space of unknown function F(S) from linear functions to more general nonlinear functions, which gives more accurate estimation of the coefﬁcients and better reflectance reconstruction. Results show that the reflectance can be reconstructed successfully.
Therefore, we conclude that this approach has advantages of higher accuracy, fast implementation, and adaptation, thus can be used in arts reproduction and museum art collection, etc. 1 Á Basis vectors Á Color accuracy Introduction Spectral reflectance is the most complete and accurate approach for color description. It is independent of illumination and observation. Therefore, accurate color replication and object recognition can be achieved based on spectral images, which may ﬁnd applications in agriculture inspection, museum art collection, medical plastic surgery, and electronic business [1, 2].
The measurement results are frequently reported using CIELAB colour system, in terms of lightness, chroma and hue. e. paper, glass and textile, human skin has a multi-layer structure with non-flat and non-uniform colour surface. The pressure, measuring ﬁeld size and measuring geometry can affect the measurement results. Although large amounts of work on human skin colour measurements were based on these two instruments, the research of the uncertainty of the measurement by using these two instruments to measure human skin colour was limited.
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