基于相似性的图像融合质量的客观评估方法

研究图像融合结果的质量评估问题,提出一种新的基于相似性的图像融合质量客观评估方法.这种方法考虑人类视觉对局部变化更加敏感的特性,用源图像和融合结果的梯度场相似性来衡量融合的性能.这种相似性度量相对于现有的对比度度量,有了全方向的边缘辨识能力;相对于互信息量的度量方法,考虑了图像像素的局部关系,更加符合人的视觉特征.实验结果表明,这种客观评估方法很好地反映了图像融合的质量,与主观评价具有高度的一致性.

Similarity-Based Objective Measure for Performance of Image Fusion

This paper considers the problem of quality assessment of image fusion result. A novel similarity-based measure for the performance of image fusion is proposed. From human visual features, this measure evaluates the similarity of the gradient fields between the source image and fused image. Compared with the existing similarity-based measures, the proposed one has an omnidirectional recognition ability; Compared with the mutual information method, it is more consistent with the human perception nature as it considers only the local image variations. Experimental results show that the proposed measure can evaluate the image fusion performance satisfactorily and is also perceptually meaningful.