Image Fusion Methods and Applications: A Review
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 ar...
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| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2023
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| Online Access: | http://eprints.intimal.edu.my/1874/ http://eprints.intimal.edu.my/1874/1/joit2023_14r.pdf http://eprints.intimal.edu.my/1874/2/322 |
| Summary: | 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. |
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