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Image Fusion Techniques: A Review

by Dhirendra Mishra, Bhakti Palkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 9
Year of Publication: 2015
Authors: Dhirendra Mishra, Bhakti Palkar
10.5120/ijca2015907084

Dhirendra Mishra, Bhakti Palkar . Image Fusion Techniques: A Review. International Journal of Computer Applications. 130, 9 ( November 2015), 7-13. DOI=10.5120/ijca2015907084

@article{ 10.5120/ijca2015907084,
author = { Dhirendra Mishra, Bhakti Palkar },
title = { Image Fusion Techniques: A Review },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 9 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number9/23235-2015907084/ },
doi = { 10.5120/ijca2015907084 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:24:54.082920+05:30
%A Dhirendra Mishra
%A Bhakti Palkar
%T Image Fusion Techniques: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 9
%P 7-13
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image Fusion is used to retrieve important data from a set of input images and put it into a single output image to make it more informative and useful than any of the input images. It improves quality and applicability of data. Quality of the fused image depends on the application. Image fusion is widely used in intelligent robots, stereo camera fusion, medical imaging, and manufacture process monitoring, electronic circuit design and inspection, complex machine/device diagnostics and in intelligent robots on assembly lines. This paper presents a literature review on various spatial and frequency domain image fusion techniques such as averaging, min-max, block replace, HIS,PCA, brovey, pyramid based and transform based techniques. Various quality measures have been discussed to perform quantitative comparison of these methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Fusion Spatial Domain Frequency Domain Techniques Wavelets etc.

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