关于此电子书
This book provides a comprehensive introduction to the field of color constancy, describing all the major color constancy algorithms, as well as presenting cutting edge research in the area of color image processing. Beginning with an in-depth look at the human visual system, Ebner goes on to:
- examine the theory of color image formation, color reproduction and different color spaces;
- discuss algorithms for color constancy under both uniform and non-uniform illuminants;
- describe methods for shadow removal and shadow attenuation in digital images;
- evaluate the various algorithms for object recognition and color constancy and compare this to data obtained from experimental psychology;
- set out the different algorithms as pseudo code in an appendix at the end of the book.
Color Constancy is an ideal reference for practising engineers, computer scientists and researchers working in the area of digital color image processing. It may also be useful for biologists or scientists in general who are interested in computational theories of the visual brain and bio-inspired engineering systems.
作者简介
MARC EBNER, Lecturer (Privatdozent), Universität Würzburg, Lehrstuhl für Informatik, Am Hubland, 97074 Würzburg, Germany
MARC EBNER, is currently a lecturer at the Department of Computer Science, Programming Languages and Programming Methodology, University of Würzburg, Germany. He has been at the university since 1999, recently having completed his habilitation dissertation, on which this book is based. He teaches courses on computer graphics and virtual reality and his research interests are in colour constancy, computer vision, self-reproducing programs, neutral networks, and evolutionary algorithms. Previous to this post, he has gained qualifications from Stuttgart University, New York University and Tubingen University. To date, he has authored 8 published journal articles, 29 refereed conference papers.
