IDEAS home Printed from https://ideas.repec.org/a/tec/techni/ojs2507.html

Recursive group coding for image DCT compression efficiency

Author

Listed:
  • Nadejda Kozhemiakina

    (National Aerospace University «KhAI», Kharkiv, Ukraine)

  • Vladimir Lukin

    (National Aerospace University «KhAI», Kharkiv, Ukraine)

  • Nikolay Ponomarenko

    (National Aerospace University «KhAI», Kharkiv, Ukraine; Tampere University of Technology, Tampere, Finland)

  • Victoria Naumenko

    (National Aerospace University «KhAI», Kharkiv, Ukraine)

Abstract

The problem of encoding information in order to eliminate its statistical redundancy has been considered. The most widespread techniques for lossless encoding are arithmetic and Huffman coding. One disadvantage of these methods is the lack of efficiency when encoding characters with extra-large alphabets. In this paper, the efficiency of image data compression with method of recursive group coding has been considered and compared to arithmetic and Huffman coding. It is shown that recursive group coding provides a sufficient gain in compression compared to aforementioned methods.

Suggested Citation

  • Nadejda Kozhemiakina & Vladimir Lukin & Nikolay Ponomarenko & Victoria Naumenko, 2021. "Recursive group coding for image DCT compression efficiency," Technium, Technium Science, vol. 3(1), pages 150-155, February.
    • Handle: RePEc:tec:techni:ojs:2507
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/technium/article/view/2507
    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:tec:techni:ojs:2507. 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: Ana Maria Golita (email available below). General contact details of provider: .

    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.