
Color Image Processing
Methods and Applications
CRC Press
1st Edition
Published on 20. October 2006
Book
Hardback
622 pages
978-0-8493-9774-5 (ISBN)
Description
Color Image Processing: Methods and Applications embraces two decades of extraordinary growth in the technologies and applications for color image processing. The book offers comprehensive coverage of state-of-the-art systems, processing techniques, and emerging applications of digital color imaging.
To elucidate the significant progress in specialized areas, the editors invited renowned authorities to address specific research challenges and recent trends in their area of expertise. The book begins by focusing on color fundamentals, including color management, gamut mapping, and color constancy. The remaining chapters detail the latest techniques and approaches to contemporary and traditional color image processing and analysis for a broad spectrum of sophisticated applications, including:
Vector and semantic processing
Secure imaging
Object recognition and feature detection
Facial and retinal image analysis
Digital camera image processing
Spectral and superresolution imaging
Image and video colorization
Virtual restoration of artwork
Video shot segmentation and surveillance
Color Image Processing: Methods and Applications is a versatile resource that can be used as a graduate textbook or as stand-alone reference for the design and the implementation of various image and video processing tasks for cutting-edge applications.
This book is part of the Digital Imaging and Computer Vision series.
To elucidate the significant progress in specialized areas, the editors invited renowned authorities to address specific research challenges and recent trends in their area of expertise. The book begins by focusing on color fundamentals, including color management, gamut mapping, and color constancy. The remaining chapters detail the latest techniques and approaches to contemporary and traditional color image processing and analysis for a broad spectrum of sophisticated applications, including:
Vector and semantic processing
Secure imaging
Object recognition and feature detection
Facial and retinal image analysis
Digital camera image processing
Spectral and superresolution imaging
Image and video colorization
Virtual restoration of artwork
Video shot segmentation and surveillance
Color Image Processing: Methods and Applications is a versatile resource that can be used as a graduate textbook or as stand-alone reference for the design and the implementation of various image and video processing tasks for cutting-edge applications.
This book is part of the Digital Imaging and Computer Vision series.
More details
Series
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Professional
Illustrations
1028 s/w Abbildungen
1028 Illustrations, black and white
Dimensions
Height: 254 mm
Width: 178 mm
Weight
1270 gr
ISBN-13
978-0-8493-9774-5 (9780849397745)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
10/2018
1st Edition
CRC Press
€73.49
Available for download

E-Book
10/2018
1st Edition
CRC Press
€73.99
Available for download
Persons
Rastislav Lukac, Konstantinos N. Plataniotis
Editor
Foveon, Inc. / Sigma Corp., San Jose, California, USA
University of Toronto, Ontario, Canada
Content
ICC Color Management: Architecture and Implementation. Versatile Gamut Mapping Method Based on Image-to-Device Concept. Three-, Two-, One-, and Six-Dimensional Color Constancy. Noise Reduction and Edge Detection in Color Images. Color Image Segmentation: Selected Techniques. Resizing Color Images in the Compressed Domain. Color Image Halftoning. Secure Color Imaging. Color Feature Detection. Color Spatial Arrangement for Image Retrieval by Visual Similarity. Semantic Processing of Color Images. Color Cue in Facial Image Analysis. Using Colors for Eye Tracking. Automated Identification of Diabetic Retinal Exudates in Digital Color Images. Real-Time Color Imaging Systems. Single-Sensor Camera Image Processing. Spectral Imaging and Applications. Image Enhancement for Plasma Display Panels. Image Processing for Virtual Artwork Restoration. Image and Video Colorization. Superresolution Color Image Reconstruction. Coding of Two-Dimensional and Three-Dimensional Color Image Sequences. Color-Based Video Shot Boundary Detection. The Use of Color Features in Automatic Video Surveillance Systems. Index.