Histogram partition based gamma correction for image contrast enhancement

Dongni Zhang, Won Jae Park, Seung Jun Lee, Kang A. Choi, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Abstract

This paper presents an adaptive image contrast enhancement method. The proposed method is based on a local gamma correction piloted by histogram analysis. First, the image histogram is partitioned based on the local minima and the mean gray-level of each partition is calculated. Then, gamma correction is performed using the resulted mean gray-levels. By analyzing the partitioned histograms, the parameters are automatically adjusted. Experimental results show that both good contrast enhancement performance and image brightness preservation can be achieved by the proposed method.

Original languageEnglish
Title of host publication2012 IEEE 16th International Symposium on Consumer Electronics, ISCE 2012
DOIs
Publication statusPublished - 2012
Event2012 IEEE 16th International Symposium on Consumer Electronics, ISCE 2012 - Harrisburg, PA, United States
Duration: 2012 Jun 42012 Jun 6

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Other

Other2012 IEEE 16th International Symposium on Consumer Electronics, ISCE 2012
Country/TerritoryUnited States
CityHarrisburg, PA
Period12/6/412/6/6

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Histogram partition based gamma correction for image contrast enhancement'. Together they form a unique fingerprint.

Cite this