图像融合的经典方法有很强的学习价值算法改进-Image fusion refers to the techniques that integrate complementary information from multiple image

sensors’ data in a way that makes the new images more suitable for human visual perception and reduces

computation processing tasks. In this paper, we propose a non-parametric and region-based image fusion

based on the Bootstrap sampling (BS) principle