Classification based histogram specification framework for image contrast enhancement

Sung Ho Lee, Kang A. Choi, Sung-Jea Ko

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

Abstract

In this paper, we propose a novel contrast enhancement technique, referred to as the classification based histogram specification framework (CHSF). CHSF consists of offline training and online enhancement processes. In the offline training process, training images are classified into multiple classes, and then the feature vector that can discriminate the classes is generated and stored along with its most appropriate target histogram. In the online enhancement process, the best matching class is determined by comparing the feature vector of each class and that of the input image, then the corresponding target histogram of the class is adopted for histogram specification (HS). Experimental results show that the proposed method effectively enhances the image contrast by bringing out image details without amplifying noise in flat regions.

Original languageEnglish
Title of host publication2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages121-126
Number of pages6
ISBN (Print)9781479972043
DOIs
Publication statusPublished - 2014 Jan 23
Event3rd International Conference on Control, Automation and Information Sciences, ICCAIS 2014 - Gwangju, Korea, Republic of
Duration: 2014 Dec 22014 Dec 5

Other

Other3rd International Conference on Control, Automation and Information Sciences, ICCAIS 2014
CountryKorea, Republic of
CityGwangju
Period14/12/214/12/5

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering

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    Lee, S. H., Choi, K. A., & Ko, S-J. (2014). Classification based histogram specification framework for image contrast enhancement. In 2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014 (pp. 121-126). [7020541] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAIS.2014.7020541