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Wavelet and Curvelet Transformation based Image Fusion with ANFIS and SVM

by Maninder Kaur, Pooja
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 14
Year of Publication: 2015
Authors: Maninder Kaur, Pooja
10.5120/21607-4639

Maninder Kaur, Pooja . Wavelet and Curvelet Transformation based Image Fusion with ANFIS and SVM. International Journal of Computer Applications. 121, 14 ( July 2015), 13-19. DOI=10.5120/21607-4639

@article{ 10.5120/21607-4639,
author = { Maninder Kaur, Pooja },
title = { Wavelet and Curvelet Transformation based Image Fusion with ANFIS and SVM },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 14 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 13-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number14/21607-4639/ },
doi = { 10.5120/21607-4639 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:08:24.065151+05:30
%A Maninder Kaur
%A Pooja
%T Wavelet and Curvelet Transformation based Image Fusion with ANFIS and SVM
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 14
%P 13-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Image fusion is a data fusion innovation which keeps images as main research substance which refers to the strategies that integrate multi-images of the same scene from multiple image sensor data or integrate multi images of the same scene at different times from single image sensor. In this paper we describes a novel image fusion method, is suitable for pan-sharpening of multispectral (MS) bands which are based on multi-resolution analysis. The low-resolution MS bands are sharpened by injecting high-pass directional details extracted from the high-resolution panchromatic (Pan) image by means of the Wavelet and Curvelet transform, which is a non-separable MRA, whose basis function are directional edges with progressively increasing resolution. We introduce a new method based on the Wavelet and Curvelet transform using Neural Network which represents edges better than wavelets in this paper. Therefore, edges play a fundamental role in image understanding and one important way to enhance spatial resolution is to enhance the edges. Wavelet and Curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously

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Index Terms

Computer Science
Information Sciences

Keywords

Edge Detection Wavelet and Curvelet Transform Neuro-Fuzzy (ANFIS) Support Vector Machine (SVM)

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