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Implementation and Comparison of Image Fusion using Discrete Wavelet Transform and Principal Component Analysis

V.K. Mishra1 , S. Kumar2 , C. Singh3

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-3 , Page no. 174-181, Mar-2014

Online published on Mar 30, 2014

Copyright © V.K. Mishra, S. Kumar, C. Singh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: V.K. Mishra, S. Kumar, C. Singh, “Implementation and Comparison of Image Fusion using Discrete Wavelet Transform and Principal Component Analysis,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.3, pp.174-181, 2014.

MLA Style Citation: V.K. Mishra, S. Kumar, C. Singh "Implementation and Comparison of Image Fusion using Discrete Wavelet Transform and Principal Component Analysis." International Journal of Computer Sciences and Engineering 2.3 (2014): 174-181.

APA Style Citation: V.K. Mishra, S. Kumar, C. Singh, (2014). Implementation and Comparison of Image Fusion using Discrete Wavelet Transform and Principal Component Analysis. International Journal of Computer Sciences and Engineering, 2(3), 174-181.

BibTex Style Citation:
@article{Mishra_2014,
author = {V.K. Mishra, S. Kumar, C. Singh},
title = {Implementation and Comparison of Image Fusion using Discrete Wavelet Transform and Principal Component Analysis},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2014},
volume = {2},
Issue = {3},
month = {3},
year = {2014},
issn = {2347-2693},
pages = {174-181},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=92},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=92
TI - Implementation and Comparison of Image Fusion using Discrete Wavelet Transform and Principal Component Analysis
T2 - International Journal of Computer Sciences and Engineering
AU - V.K. Mishra, S. Kumar, C. Singh
PY - 2014
DA - 2014/03/30
PB - IJCSE, Indore, INDIA
SP - 174-181
IS - 3
VL - 2
SN - 2347-2693
ER -

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Abstract

Nowadays with rapid development in high technology and modern instrumentation image fusion has become a vital component of a large number of applications. On the basis of three categories Pixel, Feature and decision a no of methods and algorithms have proposed for Image Fusion. This would be an interesting task to take some best recently used methods and analyze which one is better and effective. This Paper considers two fusion techniques Discrete Wavelet Transform (DWT) and Principal Component Analysis, fusion methods for these two techniques has been proposed and also the effectiveness is compared. In DWT the two images to be fused are decomposed at different levels and their approximation and detail co-efficient are calculated, a fusion scheme is used to combine these co-efficient and then Inverse of DWT is taken to reconstruct the image. In PCA the principal components of the two images are extracted and a fusion scheme is proposed to fuse these principal components to reconstruct the image. Finally comparison of these two techniques is performed on the basis of some evaluation criteria and the decision has drawn that which technique is better.

Key-Words / Index Term

Image Fusion, Wavelets, DWT, PCA

References

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