Digital Color Image Processing

Organized in regard to advanced techniques for three-dimensional scene analysis in color images,Digital Color Image Processingis divided into four parts that cover the fundamentals and requirements for color image processing, techniques for preprocessing color images, three-dimensional scene analysis using color information, and the new increasing area of multi-spectral imaging. Two case studies on applications of color image processing are included.

Andreas Koschan, PhD, is a Research Associate Professor with the Department of Electrical Engineering and Computer Science, University of Tennessee. His research interests include three-dimensional computer vision and, in particular, shape recovery using binocular stereo vision and laser range-finding techniques. He is also interested in the utilization of color information in digital image processing. He is the coauthor of three other books.

Mongi Abidi, PhD, is a Professor and Associate Head in the Department of Electrical Engineering and Computer Science, University of Tennessee. Dr. Abidi directs activities in the Imaging, Robotics, and Intelligent Systems Laboratory, and conducts research in the field of three-dimensional imaging, specifically in the areas of scene building, scene description, and data visualization.

Introduction
Goal and Content of This Boo
Terminology in Color Image Processin
What Is A Digital Color Image?
Derivative of a Color Image
Color Edges
Color Constancy
Contrast of a Color Image
Noise in Color Images
Luminance, Illuminance, and Brightness
Color Image Analysis in Practical Use
References to Further Reading
References
Eye and Color
Physiology of Color Vision
Receptoral Color Information
Postreceptoral Color Information
Cortical Color Information
References
Color Spaces and Color Distances
Standard Color System
CIE Color Matching Functions
Standard Color Values
Chromaticity Diagrams
Macadam Ellipses 48
Physics And Technics-Based Color Spaces
RRGBb Color Spaces
CMY(K) Color Space
YIQ Color Space
YUV Color Space
YC B C RColor Space
Kodak PhotoCD YC 1 C 2 Color Space
Color Space
Uniform Color Spaces
CIELAB Color Space
CIELUV Color Space
Perception-Based Color Spaces
HSI Color Space
HSV Color Space
Opponent Color Spaces
Color Difference Formulae
Color Difference Formulae in the RGB Color Space
Color Difference Formulae in the HSI Color Space
Color Difference Formulae in the CIELAB and CIELUV Color Spaces
Color Ordering Systems
Munsell Color System
Macbeth-Colorchecker
DIN Color Map
References
Color Image Formation
Technical Design of Electronic Color Cameras
Image Sensors
Multispectral Imaging Using Black And White Cameras with Color Filters
One-Chip CCD Color Camera
Three-Chip CCD Color Cameras
Digital Cameras
Standard Color Filters and Standard Illuminants
Standard Color Filters
Standard Illuminants
Photometric Sensor Model
Attenuation, Clipping, and Blooming
Chromatic Aberration 93
Correction of the Chromatic Aberration
Photometric and Colorimetric Calibration
Nonlinearities of Camera Signals
Measurement of Camera Linearity
White Balance and Black Level Determination
Transformation into the Standard Color System XYZ
References
Color Image Enhancement
False Colors and Pseudo Colors
Enhancement of Real Color Images
Noise Removal in Color Images
Box-Filter
Median Filter
Morphological Filter
Filtering In the Frequency Domain
Contrast Enhancement in Color Images
Treatment of Color Saturation and Lightness
Changing the Hue
References
Edge Detection in Color Images
Vector-Valued Techniques
Color Variants of the Canny Operator
Cumani Operator
Operators Based On Vector Order Statistics
Results of Color Edge Operators
Classification of Edges
Physics-Based Classification
Classification Applying Photometric Invariant Gradients
Color Harris Operator
References
Color Image Segmentation
Pixel-B
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Digital Color Image Processing

Summary

Author Biography

Table of Contents

Supplemental Materials