Buch, Englisch, 493 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 937 g
Buch, Englisch, 493 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 937 g
Reihe: Lecture Notes in Electrical Engineering
ISBN: 978-981-964466-7
Verlag: Springer Nature Singapore
This book includes original, peer-reviewed research papers from the 15th China Academic Conference on Printing and Packaging (CACPP 2024), held in Tianjin, China on November 14-16, 2024. The proceedings cover the latest findings in color science and technology, image processing technology, digital media technology, mechanical and electronic engineering and numerical control, materials and detection, printing and packaging technology, and so on. As such, the book is of interest to university researchers, R&D engineers and graduate students in the fields of color science, image science, materials science, computer science, digital media, network technology, smart manufacturing technology and printing and packaging.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Medien-, Informations und Kommunikationswirtschaft Verlagswesen
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Werkstoffprüfung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
Weitere Infos & Material
Modifying the Helmholtz-Kohlrausch Effect Model for Enhanced CIECAM16 Lightness Function.- Impact of Lightness on the Preferred Center of Skin Color.- Memory Color Investigation: Effects of Chromatic Texture.- Establishment and Usage of a High Dynamic Range Image Dataset.- Comparing the Performance of an LED and a Filtered Tungsten Halogen D65 Simulators for Assessing Colour Differences.- Research on the Color Characteristics of Dragon Patterns in the Embroidery Collection of the Palace Museum during the Qing Dynasty Based on K-means Clustering Analysis and Its Application in the Color.- Analysis of Cantonese Embroidery Colors and Digital Color Matching.
