Multi-Exposure Fusion Method for Space Panchromatic Images Based on Two-Scale Progressive Fusion

In this paper, we propose a novel multi-exposure fusion method framework for satellite panchromatic images in space environment based on dual-scale, which obtains the high-frequency information and low-frequency information of the exposed image sequences through adaptive weighted bootstrap filtering, and then processes the high-frequency and low-frequency information separately using a stepwise fusion strategy, where the low-frequency information is fused through the Laplace pyramid's multi-scale fusion, and the high-frequency information introduces the concept of Gaussian function difference to obtain the enhanced high-frequency fusion results. Comparing this paper with the traditional fusion method which is more effective and widely used in recent years, the method of this paper has a significant improvement in the index of response image embedded information and the index of no-reference evaluation of multi-exposure fusion image.