Color Space Selection for Color Image Enhancement Application

• Main Authors: Asmare, Melkamu H, Asirvadam , Vijanth Sagayan, Izhar, Lila I
• Format: Conference or Workshop Item
• Published: 2009
• Subjects: QA75 Electronic computers. Computer science
• Online Access: 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/

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.