Review on Histogram Equalization based Image Enhancement Techniques

  • C. R. Nithyananda
  • , A. C. Ramachandra
  • , Preethi

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

    35 Citations (Scopus)

    Abstract

    The multimedia devices, mobile phones and other palmtop devices are integral part of our day to day life. Image and video processing plays a key role in modern day information and communication technologies. Images captured from cameras needs enhancement for before using them in various applications. Noise removal, contrast improvement, and adjustment of brightness are common operations performed on raw images after capturing from camera. Researchers have proposed variety of image enhancement techniques by using numerical methods, statistics, signal processing. In this paper, Histogram Equalization (HE) method is studied. HE is an important image enhancement scheme and many variations of HE has been proposed. We study most important and highly cited HE techniques in this work and discuss their advantages, limitations and applications.

    Original languageEnglish
    Title of host publicationInternational Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2512-2517
    Number of pages6
    ISBN (Electronic)9781467399395
    DOIs
    Publication statusPublished - 22-11-2016
    Event2016 International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016 - Palnchur, Chennai, Tamilnadu, India
    Duration: 03-03-201605-03-2016

    Publication series

    NameInternational Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016

    Conference

    Conference2016 International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016
    Country/TerritoryIndia
    CityPalnchur, Chennai, Tamilnadu
    Period03-03-1605-03-16

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering
    • Electronic, Optical and Magnetic Materials
    • Control and Optimization

    Fingerprint

    Dive into the research topics of 'Review on Histogram Equalization based Image Enhancement Techniques'. Together they form a unique fingerprint.

    Cite this