Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10213)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: CCIW 2017.
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Table of contents (23 papers)
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Invited Talks and Tutorials
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Color In Digital Cultural Heritage
Other volumes
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Computational Color Imaging
Keywords
- analytical imaging
- computer vision
- digital signal processing
- human-centered computing
- visualization
- computational photography
- computer graphics
- convolutional neural networks
- displays and imagers
- graphics input devices
- high resolution
- hyperspectral imaging
- image and video acquisition
- learning linear models
- machine learning
- mathematics of computing
- neural networks
- principal component analysis
- printers
- scanners
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Computational Color Imaging
Book Subtitle: 6th International Workshop, CCIW 2017, Milan, Italy, March 29-31, 2017, Proceedings
Editors: Simone Bianco, Raimondo Schettini, Alain Trémeau, Shoji Tominaga
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-56010-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2017
Softcover ISBN: 978-3-319-56009-0Published: 29 March 2017
eBook ISBN: 978-3-319-56010-6Published: 28 March 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 283
Number of Illustrations: 132 b/w illustrations
Topics: Image Processing and Computer Vision, Computer Graphics, Pattern Recognition