Overview
- This is the first book that specifically addresses the early stages of the color image processing procedure
- The book contains the state-of-the-art in low-level color image processing in a single comprehensive volume
- Each chapter is contributed by a leading expert in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 11)
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Table of contents (14 chapters)
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Front Matter
Keywords
About this book
Color perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including medical imaging, content-based image retrieval, biometrics, watermarking, digital inpainting, remote sensing, visual quality inspection, among many others. As a result, automated processing and analysis of color images has become an active area of research, to which the large number of publications of the past two decades bears witness. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for single channel images are often not directly applicable to multichannel ones. The goal of this volume is to summarize the state-of-the-art in the early stages of the color image processing pipeline.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Low-Level Color Image Processing
Editors: M. Emre Celebi, Bogdan Smolka
Series Title: Lecture Notes in Computational Vision and Biomechanics
DOI: https://doi.org/10.1007/978-94-007-7584-8
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2014
Hardcover ISBN: 978-94-007-7583-1Published: 07 January 2014
Softcover ISBN: 978-94-024-0088-5Published: 27 September 2016
eBook ISBN: 978-94-007-7584-8Published: 17 December 2013
Series ISSN: 2212-9391
Series E-ISSN: 2212-9413
Edition Number: 1
Number of Pages: X, 425
Number of Illustrations: 28 b/w illustrations, 148 illustrations in colour
Topics: Image Processing and Computer Vision, Signal, Image and Speech Processing, Imaging / Radiology