边缘信息的红外与可见光图像融合评价

建立能同时结合主观和客观因素的图像融合质量评价方法是目前图像融合中急需解决的问题之一。以反映人类视觉特性的结构相似度为依据,并结合源图像与融合图像的边缘信息,提出了一种新的图像融合质量评价方法,该方法充分反映了人类视觉系统的特性,可以为不同环境下选择不同的图像融合算法提供依据。通过对红外与可见光图像采用多种不同的融合算法进行融合质量评价,实验表明,评价结果与人眼主观评价一致,是一种实用的、有效的图像融合质量评价方法。

The Quality Measure for Infrared and Visible Image Fusion Based on the Verge Information

How to measure the quality of fused image,which combined with the factor of objective and subjective,is one of the most important problems in image fusion.This paper presents a new evaluation of fused image,which based on the human visual system and linked with the verge information from sourced image to fused image.The new evaluation consider the characteristics of human visual system and can be used to choose the best algorithm in image fusion applications of different environment.Using different scenes and different kinds of algorithms to a set of infrared and visible images fusion experiments,the results demonstrate it is a practical,effective quality measurement of fused image.