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Proceedings Paper

PCA-based image fusion
Author(s): S. Senthil Kumar; S. Muttan
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Paper 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.

Paper Details

Date Published: 8 May 2006
PDF: 8 pages
Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 62331T (8 May 2006); doi: 10.1117/12.662373
Show Author Affiliations
S. Senthil Kumar, St. Joseph's College of Engineering (India)
S. Muttan, Anna Univ. (India)


Published in SPIE Proceedings Vol. 6233:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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