By Yun Ouyang, Min Xu, Li Yang, Yujie Ouyang
This ebook incorporates a choice 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 equipped via the China Academy of Printing know-how, Beijing Institute of photograph verbal exchange, and Hangzhou Dianzi collage. With three keynote talks and two hundred awarded papers on picture 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 expertise, image-processing know-how, digital-media know-how, printing-engineering expertise, packaging-engineering expertise and so forth. they are going to be of curiosity to college researchers, R&D engineers and graduate scholars in picture communications, packaging, colour technology, photo technology, fabrics technology, computing device technology, electronic media and community expertise fields.
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Extra info for Advanced Graphic Communications, Packaging Technology and Materials
Berns, R. S. (2013). Extending CIELAB: Vividness, V*ab, depth, D*ab, and clarity, T*ab. COLOR Research and Application, 39(4), 322–330. 3. Angelopoulu, E. (2001). Understanding the color of human skin. Human Vision and Electronic Imaging, 4299, 243–251. Chapter 2 The Colour Shifting of Measuring Human Skin Colour Use Different Instruments Mengmeng Wang, Ming Ronnier Luo, Kaida Xiao and Sophie Wuerger Abstract Human skin colour information is important for the cosmetic industries and hospitals to develop a skin product and suggest an appropriate treatment.
There have been many new studies involving in 3D imaging in the area of printing, medicine, etc. F. R. Luo (&) Á Y. Wang Á L. Xu Á M. R. Luo School of Design, University of Leeds, Leeds, UK © Springer Science+Business Media Singapore 2016 Y. Ouyang et al. F. Mughal et al. The goal of this research was to develop a method to calibrate 3D images in the form of spectral reflectance. Many models have been developed for multispectral imaging [7, 8], allowing for the estimation of the spectral reflectance from a set of colorimetric values such as XYZ tristimulus values.
A new approach for solving the problem which is based on neural network and basis vectors is proposed. Compared with other traditional methods, neural network expands the space of unknown function 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 of standard Munsell color patch (Matte) can be reconstructed. Compared with linear approximation method, reconstruction of standard Munsell color patch (Matte) using this approach reduces the reconstruction error.
Advanced Graphic Communications, Packaging Technology and Materials by Yun Ouyang, Min Xu, Li Yang, Yujie Ouyang