Image Fusion Using Cross Bilateral Filter

Authors(3) :-B. Rama Manohara Megi, K.Dhilli, D. Rahul

Image fusion is a sub-field of image processing in which more than one images are fused to create an image where all the objects are in focus. Image fusion is of significant importance due to its application in medical science, forensic and defense departments. It is proposed to fuse source images by weighted average using the weights computed from the detail images that are extracted from the source images using cross bilateral filter. The performance of the proposed method has been verified on several pairs of multi-sensor and multi-focus images, and compared with the existing methods like wavelet transform, and guided filtering techniques, visually and quantitatively. It is found that, none of the methods have shown consistence performance for all the performance metrics. But as compared to them, the proposed method has shown good performance in most of the cases. In this, propose a fast and effective image fusion method to merging multiple images. Experimental results demonstrate the proposed method is well efficient than several existing methods.

Authors and Affiliations

B. Rama Manohara Megi
PG Student, AVEN, Vishakhapatnam, Andhra Pradesh, India
K.Dhilli
Assistant Professor, AVEN, Vishakhapatnam, Andhra Pradesh, India
D. Rahul
Assistant Professor, AVEN, Vishakhapatnam, Andhra Pradesh, India

Image Fusion, Wavelet Transform, Guided Filter, Cross Bilateral Filter

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2016
Date of Publication : 2016-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 66-70
Manuscript Number : IJSRST16264
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

B. Rama Manohara Megi, K.Dhilli, D. Rahul , " Image Fusion Using Cross Bilateral Filter, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 2, Issue 6 , pp.66-70, November-December-2016. Available at doi : 10.32628/IJSRST16264
Journal URL : http://ijsrst.com/IJSRST16264

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