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Reseach Article

Optimal Image Fusion

by Shristy Khandelwal, Mahendra Kumar, Anila Dhingra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 1
Year of Publication: 2016
Authors: Shristy Khandelwal, Mahendra Kumar, Anila Dhingra
10.5120/ijca2016911764

Shristy Khandelwal, Mahendra Kumar, Anila Dhingra . Optimal Image Fusion. International Journal of Computer Applications. 152, 1 ( Oct 2016), 48-51. DOI=10.5120/ijca2016911764

@article{ 10.5120/ijca2016911764,
author = { Shristy Khandelwal, Mahendra Kumar, Anila Dhingra },
title = { Optimal Image Fusion },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 1 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 48-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume152/number1/26286-2016911764/ },
doi = { 10.5120/ijca2016911764 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:57:00.703689+05:30
%A Shristy Khandelwal
%A Mahendra Kumar
%A Anila Dhingra
%T Optimal Image Fusion
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 1
%P 48-51
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a saras-type image-fusion technique using hybrid SPIHT and SOMA. This method shows fusion of images and can be used for fusion of multi model image. It is concluded that fusion with advanced single levels offers better fusion quality. This method provides a comparative study between proposed & literature techniques and validation of the projected algorithm as Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE).

References
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Index Terms

Computer Science
Information Sciences

Keywords

Saras type image Set Partitioning in Hierarchical Trees (SPIHT) PSNR RMSE SOMA.