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Computational Color Imaging

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

  • Conference proceedings
  • © 2017

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10213)

Included in the following conference series:

Conference proceedings info: CCIW 2017.

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Table of contents (23 papers)

  1. Invited Talks and Tutorials

  2. Color Image Processing

  3. Color Image Quality

  4. Color In Digital Cultural Heritage

Other volumes

  1. Computational Color Imaging

Keywords

About this book

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.

Editors and Affiliations

  • University of Milan-Bicocca, Milan, Italy

    Simone Bianco, Raimondo Schettini

  • University Jean Monnet, Saint-Etienne, France

    Alain Trémeau

  • Chiba University, Chiba, Japan

    Shoji Tominaga

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

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