Fig. 3
From: Enhancing spectral imaging with multi-condition image fusion
Illustrative example of the Multi-Condition Fusion pipeline. Starting with N maps acquired at different acquisition conditions, these serve as the input for two different steps. First, a Laplacian Pyramid based on each spectral map is built. Then, weight maps for each image are calculated, using the well-exposedness and contrast metrics, and a Gaussian Pyramid based on the weight maps is constructed. Finally, all pyramids are combined into a single one. The collapse of the final pyramid results in the final multi-condition image.
