基于加权结构相似度的图像融合质量评价

An image fusion quality assessment based on structural similarity

利用结构信息理论,提出了基于加权结构相似度的图像融合质量评价方法.该方法充分考虑了图像的结构信息和人眼的视觉特性,无需标准参考图像,可以为不同场合下选择不同的算法提供依据.不同融合算法的质量评价结果表明该方法是有效的.

Applying the theory of structural information, quality assessment method of image fusion based on weighted structural similarity is presented. The assessment considers structural information of image and characteristics of human visual system. And it does not need the reference image, so can be used to choose the best algorithm in applications. The experiments of different image fusion algorithms demonstrate that it is an effective assessment of image fusion quality.