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Research on Quality Measures for Image Fusion

HU Liang-mei,GAO Jun,HE Ke-feng (Institute of Computer and Information,Hefei University of Technology,Hefei,Anhui 230009,China; Institute of Intelligent Machines,Chinese Academy of Sciences,Hefei,Anhui 230031,China)  
How to universally measure the quality of fused image is one of the most important problems in image fusion.This paper analyses the measures of fused image quality in existence,then presents a new evaluation of fused image,which combines objective and subjective factors.In addition,it considers the characteristics of human visual system without reference image and can be used to choose the best algorithm in image fusion applications.The experiments of different kinds of images and image fusion algorithms demonstrate that it is a practical,effective,and universal measure of quality of fused image.
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