Color Space Selection for Color Image Enhancement Application

Device independent, quantitative description of color is a surprisingly challenging problem. Another problem is that even under equal intensity, some colors are visually brighter than others. Different color representations try to overcome these problems, with varying degrees of success....

全面介绍

Saved in:
书目详细资料
Main Authors: Asmare, Melkamu H, Asirvadam , Vijanth Sagayan, Izhar, Lila I
格式: Conference or Workshop Item
出版: 2009
主题:
在线阅读:http://eprints.utp.edu.my/4027/1/paper_3.pdf
http://ieeexplore.ieee.org/iel5/5163804/5163805/05163856.pdf%3Farnumber%3D5163856%26authDecision%3D-203&authDecision=-203
http://eprints.utp.edu.my/4027/
标签: 添加标签
没有标签, 成为第一个标记此记录!
实物特征
总结:Device independent, quantitative description of color is a surprisingly challenging problem. Another problem is that even under equal intensity, some colors are visually brighter than others. Different color representations try to overcome these problems, with varying degrees of success. It is for this reason that there are so many standard color representations. In this paper our goal is to analyze and evaluate the various color spaces in color image enhancement applications. Conversion accuracy and similarity measure are the two objective parameters to measure the performance of each color space. Eight most common color spaces are formulated and tested in this paper. Their conversion efficiency is computed and they are evaluated based on their performance in image enhancement applicability. A new image contrast enhancement method based on multi- resolution decomposition is proposed and tested for all the color spaces.