Tri-histogram equalization based on first order statistics

Ping Hsien Lin*, Chun-Cheng Lin, Hsu Chun Yen

*Corresponding author for this work

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

10 Scopus citations

Abstract

This paper proposes a novel method, called Statistic-separate Tri-histogram Equalization (SSTHE), to enhance contrasts of images along with excellent brightness preservation. This method segments the original histogram into three regions according to the mean and standard deviation of the image brightness, re-ranges spans of each sub-histogram and executes histogram equalization within each scope respectively. Experiments show that our method provides better brightness preservation than most bi-HE techniques, and reduces artifacts that a large number of sub-histograms produces. In addition, it is efficient with computation, suitable for consumer electronics.

Original languageEnglish
Title of host publication2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009
Pages387-391
Number of pages5
DOIs
StatePublished - 27 Oct 2009
Event2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009 - Kyoto, Japan
Duration: 25 May 200928 May 2009

Publication series

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

Conference

Conference2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009
CountryJapan
CityKyoto
Period25/05/0928/05/09

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  • Cite this

    Lin, P. H., Lin, C-C., & Yen, H. C. (2009). Tri-histogram equalization based on first order statistics. In 2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009 (pp. 387-391). [5156973] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). https://doi.org/10.1109/ISCE.2009.5156973