关键词: 图像融合, 主观评价方法, 客观评价方法, 结构相似性

Abstract:

In the field of image fusion, it is very important to evaluate the quality of image fusion scientifically and specifically. This paper analyzes and summarizes the existing methods for objectively evaluating the quality of multiple image fusion, and conducts a targeted classification analysis based on the different points of reflection. The existing objective evaluation indexes are divided into three categories: the first is based on the statistical characteristics of the fusion image, the second is based on the objective evaluation index between the fusion image and the ideal reference image, the third is based on objective evaluation index between source images and the fusion image. This paper summarizes the existing objective evaluation methods and analyzes the latest objective methods of image fusion quality assessment. Finally, this paper analyzes and prospects the existing defects of the objective evaluation methods for image fusion quality and the future research trends, to further provide theoretical support for image fusion quality evaluation.

Key words: image fusion, subjective evaluation method, objective evaluation method, structural similarity