Color Image Histogram Equalization
Histogram equalization is a simple and effective method for image contrast manipulation. It aims together with other methods, such as noise reduction, edge crispening and sharpening, filtering, pseudocoloring, image interpolation and magnification to enhance images either from the human visual perspective or for their effective use in several applications.
Histogram equalization becomes a tedious task when dealing with color images due to:
A novel color image histogram equalization method has been developed that
in order to respectively
The method has been furtherly extended by an empirical gamut elimination technique based on the transformations proposed by Naik and Murhy in order to deal with colors in the equalized image that lie outside the color space gamut.
N.Bassiou and C. Kotropoulos, “Color Image Histogram Equalization by Absolute Discounting Back-off ”, in revision for publication in Elsevier Computer Vision and Image Understanding.
N.Bassiou and C. Kotropoulos, “Color Histogram Equalization using Probability Smoothing” , in Proc. of European Signal Processing Conference (EUSIPCO 2006), Florence, Italy, 4-8 September, 2006.
MUSCLE “Multimedia Understanding through Semantics, Computation and LEarning” (FP6-507752)
8/11/2006 Bassiou Nikoletta