Image Fusion Methods and Applications: A Review

Anita, Chaudhary (2023) Image Fusion Methods and Applications: A Review. Journal of Innovation and Technology, 2023 (14). pp. 1-8. ISSN 2805-5179

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Abstract

Image fusion is the process of fusing several input images into a single output image that better describes the scene than any of the input images could on their own. The requirement for image fusion is to achieve high resolution on panchromatic, multispectral, or actual-world images. There are numerous ways to combine images, as well as some approaches, including IHS, PCA, DWT, Laplacian pyramids, Gradient Pyramids, DCT, and SF. In a variety of applications, various digital image fusion algorithms have been created. An image that includes more information for human visual perception and is more valuable for additional vision processing is the result of image fusion, which pulls information from many images of a given scenario. Additionally, it wants to examine how image fusion methods are evaluated for quality. The concept, principles, restrictions, and benefits of each of the grey-scale picture fusion algorithms are reviewed and are then investigated at the pixel and feature levels.

Item Type:	Article
Uncontrolled Keywords:	Discrete Wavelet Transform, Image Fusion, Feature Extraction, Imaging and Spatial Domain.
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	11 Dec 2023 08:24
Last Modified:	02 Jan 2024 09:46
URI:	http://eprints.intimal.edu.my/id/eprint/1874

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