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. 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.