Image contrast enhancement by improving histogram equalization algorithm

Bing-Fei Wu, Meng Liang Chung, Chih Chung Ting, Chung Cheng Chiu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Image enhancement techniques are widely applied in many fields. The purpose of image enhancement is to let the details of an image become clearer and to make the processed images more suitable for observers. Histogram Equalization (HE) is one of the well-known image enhancement methods because it is simple and effective. However, it is rarely applied to consumer electronics products because it may cause the excessive contrast enhancement and the feature loss problems that result in the processed images with unnatural look and unwanted visual artifacts. This study proposes a contrast enhancement algorithm, Improved Histogram Equalization (IHE), to solve the abovementioned drawbacks of HE. Furthermore, IHE enhances the weak features of images and makes the processed images have better visual quality. The experimental results show that images processed by IHE have better contrast and are more suitable for human visual perception than those of applying HE and other HE-based methods.

Original languageEnglish
Title of host publicationApplied System Innovation - Proceedings of the International Conference on Applied System Innovation, ICASI 2015
EditorsArtde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen
PublisherCRC Press/Balkema
Pages361-364
Number of pages4
ISBN (Print)9781138028937
DOIs
StatePublished - 1 Jan 2016
EventInternational Conference on Applied System Innovation, ICASI 2015 - Osaka, Japan
Duration: 22 May 201527 May 2015

Publication series

NameApplied System Innovation - Proceedings of the International Conference on Applied System Innovation, ICASI 2015

Conference

ConferenceInternational Conference on Applied System Innovation, ICASI 2015
CountryJapan
CityOsaka
Period22/05/1527/05/15

Fingerprint Dive into the research topics of 'Image contrast enhancement by improving histogram equalization algorithm'. Together they form a unique fingerprint.

Cite this