@inproceedings{3b074688fe124b1ab26cc5e1aa95eb9f,
title = "Using perceptual color contrast for color image processing",
abstract = "Many grayscale image processing techniques such as edge and feature detection, template matching, require the computations of image gradients and intensity difference. These computations in grayscale are very much like measuring color difference between two colors. The goal of this work is to determine an efficient method to represent color difference so that many existing grayscale image processing techniques that require the computations of intensity difference and image gradients can be adapted for color without significantly increasing the amount of data to process and without significantly altering the grayscale-based algorithms. In this paper, several perceptual color contrast measurement formulas are evaluated to determine the most applicable metric for color difference representation. Well-known edge and feature detection algorithms using color contrast are implemented to prove its feasibility.",
author = "Guangming Xiong and Lee, \{Dah Jye\} and Fowers, \{Spencer G.\} and Jianwei Gong and Huiyan Chen",
note = "Publisher Copyright: {\textcopyright} 2010, Springer-Verlag Berlin Heidelberg.; 6th International Symposium on Visual Computing, ISVC 2010 ; Conference date: 29-11-2010 Through 01-12-2010",
year = "2010",
doi = "10.1007/978-3-642-17277-9\_42",
language = "English",
isbn = "9783642172762",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "407--416",
editor = "George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Ronald Chung and Riad Hammound and Muhammad Hussain and Tan Kar-Han and Roger Crawfis and Daniel Thalmann and David Kao and Lisa Avila",
booktitle = "Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings",
address = "Germany",
}