A novel metric for performance evaluation of image fusion algorithms

被引：0

作者：

Cvejic, N ^{[1
]}

Loza, A ^{[1
]}

Bull, D ^{[1
]}

Canagarajah, N ^{[1
]}

机构：

[1] Univ Bristol, Ctr Commun Res, Bristol BS8 1UB, Avon, England

来源：

ENFORMATIKA, VOL 7: IEC 2005 PROCEEDINGS | 2005年

关键词：

fusion performance measures; image fusion; nonreference; quality measures; objective quality measures;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a novel objective non-reference performance assessment algorithm for image fusion. It takes into account local measurements to estimate how well the important information in the source images is represented by the fused image. The metric is based on the Universal Image Quality Index and uses the similarity between blocks of pixels in the input images and the fused image as the weighting factors for the metrics. Experimental results confirm that the values of the proposed metrics correlate well with the subjective quality of the fused images, giving a significant improvement over standard measures based on mean squared error and mutual information.

引用

页码：80 / 85

页数：6

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