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

13 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 publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
DOIs
Publication statusPublished - 2012 Sep 26
Event2012 IEEE 16th International Symposium on Consumer Electronics, ISCE 2012 - Harrisburg, PA, United States
Duration: 2012 Jun 42012 Jun 6

Other

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Zhang, D., Park, W. J., Lee, S. J., Choi, K. A., & Ko, S-J. (2012). Histogram partition based gamma correction for image contrast enhancement. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics [6241687] https://doi.org/10.1109/ISCE.2012.6241687