IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i6idhcseit1726322.html

Compression of Images using Hierarchical Correlation of Wavelet Coefficients in Support Vector Machine Regression

Author

Listed:
  • Rajeswari R

Abstract

Support Vector Machine (SVM) based image compression technique which utilizes the neighborhood correlation of wavelet coefficients is suggested by Jiao et. al. But the neighborhood correlation does not take care of the relationship between inter scale coefficients. Hence, in this paper, regression which utilizes the hierarchical correlation of wavelet coefficients is proposed to improve the compression. Experiments show that the proposed method performs reasonably well compared to the method proposed by Jiao et. al.

Suggested Citation

  • Rajeswari R, 2017. "Compression of Images using Hierarchical Correlation of Wavelet Coefficients in Support Vector Machine Regression," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(6), pages 1254-1258, December.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit1726322
    Note: Article URL: https://ijsrcseit.com/CSEIT1726322
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT1726322
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT1726322.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:jbh:ijsrcs:v2:y2017:i6:id:hcseit1726322. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.