IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i3idhcseit172327.html

Image Quality Enhancement Based on Fusion using Cross Bilateral filter and Wavelet Transform

Author

Listed:
  • Neelam Yadav
  • Abhinav Jain

Abstract

The images are widely used in various applications such as medical field. The quality of images should be improved so that better image analysis can be predicted. For that, image fusion concept is one of the popular techniques, where images are improved using more than one similar images. In this paper, a technique is proposed based on the concept of image fusion. In proposed technique, two input images are used where cross bilateral filter and wavelet based fusion are processed. The cross bilateral filter is used in such a way so that most of the image features can be obtained and fused. Wavelet based fusion is performed based on the DCT and PCA. The proposed scheme is tested on various images. In experimental evaluation, the PSNR and mean square error are obtained to analyze the experimental results. From result analysis, it was analyzed that most of the times; the proposed scheme is giving better outcomes.

Suggested Citation

  • Neelam Yadav & Abhinav Jain, 2017. "Image Quality Enhancement Based on Fusion using Cross Bilateral filter and Wavelet Transform," 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(3), pages 240-243, June.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i3:id:hcseit172327
    Note: Article URL: https://ijsrcseit.com/CSEIT172327
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT172327
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT172327.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:i3:id:hcseit172327. 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.