Modified histogram equalization based on the partitioned dynamic range

Author

Shen-Chuan Tai ; Chia-Ying Chang ; Yi-Shan Lin ; Yu-Yi Liao

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

fYear

2014

fDate

26-28 May 2014

Firstpage

107

Lastpage

108

Abstract

Contrast enhancement algorithms have been designed to conform the contrast to human visual perception. Histogram Equalization (HE) is widely used for contrast enhancement, but the problem is over-enhancement, washed out, and detail loss for some parts of the processed image when the discontinuous histogram. Modified histogram equalization based on the partitioned dynamic range was proposed in this paper which to solve the problems of HE. We propose a method which combines the Probability Density Function (PDF) and the Range Distribution Function (RDF). PDF aimed at keeping the characteristic of the original image and the RDF aimed for reducing the devastating effect of the equalization.

Keywords

image enhancement; probability; HE; PDF; RDF; contrast enhancement algorithms; human visual perception; modified histogram equalization; partitioned dynamic range; probability density function; range distribution function; Brightness; Color; Distribution functions; Dynamic range; Histograms; Probability density function; Resource description framework; contrast enhancement; histogram equalization; range distribution function;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics - Taiwan (ICCE-TW), 2014 IEEE International Conference on

Conference_Location

Taipei

Type

conf

DOI

10.1109/ICCE-TW.2014.6904007

Filename

6904007