Computational Color Imaging - 6th International Workshop, CCIW 2017, Milan, Italy, March 29-31, 2017, Proceedings

This book constitutes the refereed proceedings of the 6th Computational Color Imaging Workshop, CCIW 2017, held in Milano, Italy, in March 2017.
The 23 full papers, including 4 tutorials and 3 invited papers, accepted were carefully reviewed and selected from 25 submissions. The papers are organized in topical sections on color image processing; color image quality; color in digital cultural heritage; spectral imaging; color characterization; color image analysis.

Sommario

Color image processing.- Color image quality.- Color in digital cultural heritage.- Spectral imaging.- Color characterization.- Color image analysis.

Riassunto

This book constitutes the refereed proceedings of the 6th Computational Color Imaging Workshop, CCIW 2017, held in Milano, Italy, in March 2017. The 23 full papers, including 4 tutorials and 3 invited papers, accepted were carefully reviewed and selected from 25 submissions. The papers are organized in topical sections on color image processing; color image quality; color in digital cultural heritage; spectral imaging; color characterization; color image analysis.

Dettagli sul prodotto

• Con la collaborazione di: Simone Bianco (Editore), Raimond Schettini (Editore), Raimondo Schettini (Editore), Shoji Tominaga (Editore), Alain Trémeau (Editore), Alain Trémeau et al (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 30.04.2017
• EAN: 9783319560090
• ISBN: 978-3-31-956009-0
• Pagine: 283
• Dimensioni: 140 mm x 17 mm x 235 mm
• Peso: 458 g
• Illustrazioni: XIII, 283 p. 132 illus.
• Serie: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo; C, machine learning, Mustererkennung, Grafikprogrammierung, computer science, Neural Networks, Computer Vision, Image Processing and Computer Vision, Computer Graphics, pattern recognition, Mathematics of Computing, Automated Pattern Recognition, Optical data processing, Graphics programming, Principal Component Analysis, hyperspectral imaging, learning linear models, graphics input devices, image and video acquisition, scanners, printers, high resolution