A novel approach for image fusion based on Markov Random Fields

Min Xu, Hao Chen, Pramod K. Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

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.

Original languageEnglish
Title of host publicationCISS 2008, The 42nd Annual Conference on Information Sciences and Systems
Pages344-349
Number of pages6
DOIs
StatePublished - 2008
EventCISS 2008, 42nd Annual Conference on Information Sciences and Systems - Princeton, NJ, United States
Duration: 19 Mar 200821 Mar 2008

Publication series

NameCISS 2008, The 42nd Annual Conference on Information Sciences and Systems

Conference

ConferenceCISS 2008, 42nd Annual Conference on Information Sciences and Systems
Country/TerritoryUnited States
CityPrinceton, NJ
Period19/03/0821/03/08

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