DocumentCode :
596549
Title :
A new gray value retention histogram equalization
Author :
Bin Ge ; Ningning Zhou
Author_Institution :
Software Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2012
fDate :
18-20 Oct. 2012
Firstpage :
105
Lastpage :
107
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
Type :
conf
DOI :
10.1109/ICACI.2012.6463130
Filename :
6463130
Link To Document :
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