DocumentCode
2042770
Title
A novel approach for image fusion based on Markov Random Fields
Author
Xu, Min ; Chen, Hao ; Varshney, Pramod K.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY
fYear
2008
fDate
19-21 March 2008
Firstpage
344
Lastpage
349
Abstract
Markov random field (MRF) model is a powerful tool to model image characteristics accurately and has been successfully applied to a large number of image processing applications. This paper investigates the problem of image fusion based on MRF models. A fusion algorithm under the maximum a posteriori (MAP) criterion is developed under this model. Experimental results are provided to demonstrate the improvement of fusion performance by our algorithm.
Keywords
Markov processes; image fusion; maximum likelihood estimation; Markov random field model; image characteristics; image fusion; image processing; maximum a posteriori criterion; Application software; Image analysis; Image edge detection; Image fusion; Image processing; Image quality; Image sensors; Markov random fields; Pixel; Sensor fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Sciences and Systems, 2008. CISS 2008. 42nd Annual Conference on
Conference_Location
Princeton, NJ
Print_ISBN
978-1-4244-2246-3
Electronic_ISBN
978-1-4244-2247-0
Type
conf
DOI
10.1109/CISS.2008.4558549
Filename
4558549
Link To Document