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MULTI-FRAME INFORMATION FUSION FOR GRAY-SCALE AND SPATIAL ENHANCEMENT OF IMAGES
 

Summary: MULTI-FRAME INFORMATION FUSION FOR GRAY-SCALE AND SPATIAL
ENHANCEMENT OF IMAGES
Bahadir K. Gunturk, Yucel Altunbasak, and Russell M. Mersereau
Center for Signal and Image Processing
Georgia Institute of Technology
Atlanta, Georgia, 30332-0250
ABSTRACT
An imaging system produces a degraded measurement of a real-
valued quantity that varies temporally, spectrally, and spatially.
When there are multiple measurements of the same scene, it is
possible to combine the non-redundant information in those mea-
surements and produce an improved image that has more informa-
tion than any of the measurements does alone. This type of recon-
struction is known as image fusion. Depending on the diversity of
information in the measurements, it is possible to achieve tempo-
ral, spectral, spatial, and gray-scale improvements with an image
fusion algorithm. In this paper, we are proposing an image fusion
algorithm that produces an image of higher spatial and gray-scale
information from multiple measurements. The algorithm estimates
the spatial and illumination correlation between multiple measure-

  

Source: Altunbasak, Yucel - School of Electrical and Computer Engineering, Georgia Institute of Technology

 

Collections: Engineering