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Reseach Article

Multi-focus Image Fusion using Digital Negative

Published on September 2015 by Sunil Karamchandani, Aarti G. Ambekar, Yukti Bandi
CAE Proceedings on International Conference on Communication Technology
Foundation of Computer Science USA
ICCT2015 - Number 7
September 2015
Authors: Sunil Karamchandani, Aarti G. Ambekar, Yukti Bandi
0f0f9708-2bb5-49be-9441-ce0bdd146bed

Sunil Karamchandani, Aarti G. Ambekar, Yukti Bandi . Multi-focus Image Fusion using Digital Negative. CAE Proceedings on International Conference on Communication Technology. ICCT2015, 7 (September 2015), 36-40.

@article{
author = { Sunil Karamchandani, Aarti G. Ambekar, Yukti Bandi },
title = { Multi-focus Image Fusion using Digital Negative },
journal = { CAE Proceedings on International Conference on Communication Technology },
issue_date = { September 2015 },
volume = { ICCT2015 },
number = { 7 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 36-40 },
numpages = 5,
url = { /proceedings/icct2015/number7/22686-1593/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 CAE Proceedings on International Conference on Communication Technology
%A Sunil Karamchandani
%A Aarti G. Ambekar
%A Yukti Bandi
%T Multi-focus Image Fusion using Digital Negative
%J CAE Proceedings on International Conference on Communication Technology
%@ 0975-8887
%V ICCT2015
%N 7
%P 36-40
%D 2015
%I International Journal of Computer Applications
Abstract

The aim of image fusion is to combine appropriate information from two or more source images into one single image such that the single image is more informative than source images. Digital negative which is one of the spatial domain image enhancement techniques,enhances white or gray detail on dark regions, especially, when black areas are dominant in size. . Considering this, a method of image fusion is proposed, specifically for multi-focus images. Each of these images are fused with digital negative of each other for getting augmentation in white or gray detail on dark regions. Act of this method is evaluated with the help of fusion appraisal parameters like RMSE, PSNR, Mean Intensity value Mutual Information etc.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Fusion Multi-focus Image Digital Negative Image Enhancement