Abstract
The majority of color histogram equalization methods do not yield uniform histogram in gray scale. After converting a color histogram equalized image into gray scale, the contrast of the converted image is worse than that of an 1-D gray scale histogram equalized image. We propose a novel 3-D color histogram equalization method that produces uniform distribution in gray scale histogram by defining a new cumulative probability density function in 3-D color space. Test results with natural and synthetic images are presented to compare and analyze various color histogram equalization algorithms based upon 3-D color histograms. We also present theoretical analysis for nonideal performance of existing methods.
| Original language | English |
|---|---|
| Article number | 5557812 |
| Pages (from-to) | 506-512 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Image Processing |
| Volume | 20 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2011 |
Bibliographical note
Funding Information:Manuscript received August 21, 2009; revised January 18, 2010 and June 02, 2010; accepted August 03, 2010. Date of publication August 26, 2010; date of current version January 14, 2011. This work was supported in part by the Ministry of Knowledge Economy (MKE), Korea Industrial Technology Foundation (KOTEF) through the Human Resource Training Project for Strategic Technology, the Acceleration Research Program of the Ministry of Education, Science and Technology of Korea and the Korea Science and Engineering Foundation, and Ewha W. University under Grant 2008-1806-1. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Jesus Malo.
Keywords
- 3-D color histogram equalization
- Color image enhancement
- gray scale histogram equalization