基于灰度相似性的图像融合质量评估标准

基于MI和SSIM的图像评估方法很多,但它们在评估的效果与质量上准确度不够,针对不足之处,提出了一种新的图像融合质量评估标准,其基于灰度相似性并利用Minkovski距离的颜色似然偶数来对图像的融合效果进行评估.实验结果表明,利用该方法,对图像进行融合评估时,效果优于目前同类的大多数评估方法.

Quality Evaluation Standard For Image Fusion Based on Gray Similarity

The image evaluation methods based on MI and SSIM are not accurate enough in effect and qual- ity of evaluation, so we put forward a new quality evaluation standard for image fusion, which is based on gray similarity and uses the even number of color likelihood based on Minkovski distance to measure the fu- sion effect. The experimental result shows that the proposed method is superior to most of the existing evalu- ation methods during evaluating the image fusion performance at different levels.