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Reseach Article

A New Image Fusion Method based on Integration of Wavelet and Fast Discrete Curvelet Transform

by Anjali A. Pure, Neelesh Gupta, Meha Shrivastava
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 18
Year of Publication: 2013
Authors: Anjali A. Pure, Neelesh Gupta, Meha Shrivastava
10.5120/12073-8217

Anjali A. Pure, Neelesh Gupta, Meha Shrivastava . A New Image Fusion Method based on Integration of Wavelet and Fast Discrete Curvelet Transform. International Journal of Computer Applications. 69, 18 ( May 2013), 31-35. DOI=10.5120/12073-8217

@article{ 10.5120/12073-8217,
author = { Anjali A. Pure, Neelesh Gupta, Meha Shrivastava },
title = { A New Image Fusion Method based on Integration of Wavelet and Fast Discrete Curvelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 18 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number18/12073-8217/ },
doi = { 10.5120/12073-8217 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:37.896506+05:30
%A Anjali A. Pure
%A Neelesh Gupta
%A Meha Shrivastava
%T A New Image Fusion Method based on Integration of Wavelet and Fast Discrete Curvelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 18
%P 31-35
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image fusion is one of the most useful term related to digital image processing, computer vision and medical imaging. The objective of image fusion is to extract the useful information from several images into a single image. Recently, more research has been done on wavelet based image fusion methods for medical application. Wavelet transform is useful for objects with point singularities and analyses the feature of images in detailed, but it does not provide information about edges clearly. While curvelet transform is more useful for the analysis of images having curved shape edges. So, in this paper, a new image fusion method is proposed based on the integration of wavelet and fast discrete curvelet transform, which describe the curved shapes of images and analyses feature of images better. This paper uses MRI and CT images for fusion which contains complementary information helpful for diagnosis of disease. The fusion results obtained from proposed method are analyzed and compared visually and statistically with different types of wavelets used in image fusion. The results of proposed method are efficient and improve the Entropy, PSNR, Mean, STD and MSE. The proposed method can be helpful for better medical diagnosis.

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Index Terms

Computer Science
Information Sciences

Keywords

Image fusion MRI Image CT image Discrete Wavelet Transform (DWT) Fast Discrete Curvelet Transform (FDCT)