A Review on Decomposition/Reconstruction methods for Fusion of Medical Images
Author(s) -
Harmeet Kaur,
Satish Kumar
Publication year - 2020
Publication title -
international research journal on advanced science hub
Language(s) - English
Resource type - Journals
ISSN - 2582-4376
DOI - 10.47392/irjash.2020.90
Subject(s) - image fusion , artificial intelligence , image (mathematics) , decomposition , computer vision , computer science , fusion , pattern recognition (psychology) , process (computing) , chemistry , linguistics , philosophy , organic chemistry , operating system
An image contains variety of information (in terms of frequency i.e. low and high) and to split that information into sub-parts, Decomposition of image is done so as to extract the desired features present in the image. On decomposing the image, it gets divided into sub-images. Each sub image will contain different information. The coarsest information is fetched in the decomposition phase. The aim of Fusion process is to bring out the best information from the base images. The Fusion technique is applied on the decomposed sub-images obtained from each source image. After successfully fusing the sub-images, single fused image is obtained after applying the reconstruction method on the fused sub-images
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