Multiband fusion image evaluation method based on correlation between subject and object evaluation

It is difficult to select an appropriate evaluation index for current image fusion. In order to solve the problem, a synthesis evaluation index is proposed based on the correlation between subjective and objective evaluations. First, a variety of fusion results are evaluated subjectively from the edge of clarity, natural sense, information and comprehensive evaluation, respectively. Secondly, 14 commonly objective indexes are used to evaluate the fusion results. Then, the subjective and objective results are normalized, and the Spearman correlation coefficient is used to analyze the correlation between the four subjective evaluations and each objective evaluation. Finally, according to the correlation, a comprehensive index is constructed through 14 objective indexes in 4 aspects. The experimental results show that the synthesis index is more relevant to subjective evaluation than the individual evaluation index and any other comprehensive indexes.