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Comparative Study on Multi-focus Image Fusion Techniques in Dynamic Scene

by Rajvi Patel, Manali Rajput, Pramit Parekh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 6
Year of Publication: 2015
Authors: Rajvi Patel, Manali Rajput, Pramit Parekh
10.5120/19190-0792

Rajvi Patel, Manali Rajput, Pramit Parekh . Comparative Study on Multi-focus Image Fusion Techniques in Dynamic Scene. International Journal of Computer Applications. 109, 6 ( January 2015), 5-9. DOI=10.5120/19190-0792

@article{ 10.5120/19190-0792,
author = { Rajvi Patel, Manali Rajput, Pramit Parekh },
title = { Comparative Study on Multi-focus Image Fusion Techniques in Dynamic Scene },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 6 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number6/19190-0792/ },
doi = { 10.5120/19190-0792 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:03.610745+05:30
%A Rajvi Patel
%A Manali Rajput
%A Pramit Parekh
%T Comparative Study on Multi-focus Image Fusion Techniques in Dynamic Scene
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 6
%P 5-9
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, study of various image fusion techniques especially for multi-focus images has been introduced. With the increased development of technology, it is necessary to retrieve information from multi source images in order to produce a high quality fused image with spatial and spectral information. Image Fusion is the process that allows the combination of the significant information from a bunch of images into a single image, where the resultant fused image will be more qualitable informative than any other input images. Thus this technique is useful in improving the quality of data in images. Important applications of Image Fusion contain medical imaging, remote sensing, microscopic imaging, computer vision and robotics applications. Even if the fused image can have balancing spatial and spectral resolution characteristics, the existing image fusion techniques can distort the sprectral information of the multisprectal data while merging.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multi-focus image fusion Spatial domain fusion Transform domain fusion

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