IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i1idhcseit172156.html

A Dynamic Image Compression using Improved LZW Encoding Algorithm

Author

Listed:
  • M. Sangeetha
  • P. Betty

Abstract

Lossless image compression techniques seek the smallest possible image storage size for a specific level of image quality; in addition, dictionary-based encoding methods were initially implemented to reduce the one-dimensional correlation in text. The objective is to present a comparative measures of present techniques of image processing in accounts using compression techniques that are in use in Bio-metric images. Number of test has been performed to evaluate the presentation of projecting compression technique on the bio-metric data the performance reveals that LZW Compression algorithm having better accuracy of other predictive methods like Run-Length Encoding, Huffman Encoding, Delta Encoding, JPEG (Transform Compression) and MPEG algorithms are not performing well.

Suggested Citation

  • M. Sangeetha & P. Betty, 2017. "A Dynamic Image Compression using Improved LZW Encoding Algorithm," 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(1), pages 264-270, February.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i1:id:hcseit172156
    Note: Article URL: https://ijsrcseit.com/CSEIT172156
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT172156
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT172156.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:i1:id:hcseit172156. 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.