IDEAS home Printed from https://ideas.repec.org/a/igg/jirr00/v12y2022i2p1-18.html
   My bibliography  Save this article

Color Image Contrast Enhancement Using Modified Firefly Algorithm

Author

Listed:
  • Narendra Kumar

    (DIT University, Dehradun)

  • Anil Kumar

    (DIT University, Dehradun)

  • Krishna Kumar

    (UJVN Ltd., India)

Abstract

The image enhancement process is used for improving the standard of the image, it's inspired by the development of human perception pictorial information. Increasing the contrast of the image, removing the unwanted noise from the images is the picture enhancement process. A histogram of the low contrast images and depth image is employed to enhance image contrast. In the proposed work, a color image as input and extract out the red, green, and blue pixel matrixes from it, then obtain the optimized histogram using the modified firefly algorithm and compare the performance matrices like PSNR and Entropy, etc. with other optimization techniques.

Suggested Citation

  • Narendra Kumar & Anil Kumar & Krishna Kumar, 2022. "Color Image Contrast Enhancement Using Modified Firefly Algorithm," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 12(2), pages 1-18, April.
    • Handle: RePEc:igg:jirr00:v:12:y:2022:i:2:p:1-18
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJIRR.299944
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jirr00:v:12:y:2022:i:2:p:1-18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.