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An Image Fusion Approach based on Adaptive Fuzzy Logic Model with Local Level Processing

by Yashwant Kurmi, Vijayshri Chaurasia
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 124 - Number 1
Year of Publication: 2015
Authors: Yashwant Kurmi, Vijayshri Chaurasia
10.5120/ijca2015905317

Yashwant Kurmi, Vijayshri Chaurasia . An Image Fusion Approach based on Adaptive Fuzzy Logic Model with Local Level Processing. International Journal of Computer Applications. 124, 1 ( August 2015), 39-42. DOI=10.5120/ijca2015905317

@article{ 10.5120/ijca2015905317,
author = { Yashwant Kurmi, Vijayshri Chaurasia },
title = { An Image Fusion Approach based on Adaptive Fuzzy Logic Model with Local Level Processing },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 124 },
number = { 1 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 39-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume124/number1/22072-2015905317/ },
doi = { 10.5120/ijca2015905317 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:13:17.856499+05:30
%A Yashwant Kurmi
%A Vijayshri Chaurasia
%T An Image Fusion Approach based on Adaptive Fuzzy Logic Model with Local Level Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 124
%N 1
%P 39-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image fusion has lots of application in real life to furnish a combined form of many oriented objects of different images into single image. Adaptive Fuzzy logic model with local level processing is a controlling tool to model image characteristics accurately and been successfully applied to a large number of image processing applications. In this paper an adaptive fuzzy logic model have been proposed with local level processing for fusion of multi-exposure and multi-sensor images. Experimental results demonstrate the superiority of proposed method; it offers approximately 30%-35% improvement in Universal image quality index (UIQI) as compared to Marcov Random Field (MRF) fusion method.

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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Fuzzy logic local level processing Multiresolution decomposition Multispectral image fusion

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