Image Fusion using PCA Based Fusion Rule in Wavelet Domain

Deepak Gambhir

Title:
Image Fusion using PCA Based Fusion Rule in Wavelet Domain

Authors:
Deepak Gambhir

Cite This Article :

Deepak Gambhir "Image Fusion using PCA Based Fusion Rule in Wavelet Domain" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6, October 2020, pp.462-465, URL: https://www.ijtsrd.com/papers/ijtsrd33367.pdf

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Abstract :
Image fusion deals with combination of two or more images at input to produce new fused output image. Image fusion is a branch of image processing which is developing rapidly. The main aim of image fusion is to provide maximum information in the resulting image produced from the fusion of two or more images of the same scene or different taken at different instant of time. The result of image fusion is an image with more information and better quality. PCA provides dimensionality reduction and feature extraction. DWT decomposes the image by a factor of two. LWT is a second generation wavelet.

Keywords :
Image fusion, PCA, DWT, LWT

Publication Details:

Unique Identification Number : IJTSRD33367

Published In : Volume-4 | Issue-6, October 2020

Page Number(s) : 462-465

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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