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8 May 2006 PCA-based image fusion
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Abstract
IMAGE FUSION is 'the combination of two or more different images to form a fused image by using a fusion algorithm'. In this paper, an algorithm is designed in which extracts the pixels from the stacked images. Principal component analysis is carried out which aims at reducing a large set of variables to a small set that still containing most of the information that was available in the large set. The technique of principal component analysis enables us to create and use a reduced set of variables, which are called principal factors. A reduced set is much easier to analyze and interpret. In this paper, fusion of images obtained from a visible camera and that from an infrared camera is been done.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Senthil Kumar and S. Muttan "PCA-based image fusion", Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 62331T (8 May 2006); https://doi.org/10.1117/12.662373
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