Title :
A new gray value retention histogram equalization
Author :
Bin Ge ; Ningning Zhou
Author_Institution :
Software Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
In the field of image processing histogram equalization is a method to enhance images by adjusting the image contrast. The idea is to change the original image histogram from the more concentrated gray-scale range into all the uniform distribution. There is a shortcoming that gray-scale merging in traditional histogram equalization image enhancement. A gray-scale retention histogram equalization can reduce the adverse effects of the gray-scale mergering and retain more image details. This method has been improved in this paper, we use Measure of Medium Truth Degree to determine which is better, the method retains high gray-level or the one retains the low gray-level.
Keywords :
image colour analysis; image enhancement; concentrated gray-scale range; gray-scale mergering; gray-scale merging; gray-scale retention histogram equalization; histogram equalization image enhancement; image contrast; image details; image processing histogram equalization; medium truth degree measure; new gray value retention histogram equalization; uniform distribution; Adaptive equalizers; Brightness; Gray-scale; Helium; Histograms; Image enhancement;
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
DOI :
10.1109/ICACI.2012.6463130