Fusion of X-ray projection images obtained with different exposure levels is a promising technique for studying objects with features beyond the dynamic range of the X-ray detector. Various multi-exposure fusion techniques are described in the literature, yet a direct comparison between these methods is not available. This was mainly due to the absence of objective quality measures dedicated to multi-exposure X-ray images and tomographic reconstructions, a problem remaining unsolved to this day. Therefore, in this work, we compare several fusion algorithms in terms of perceptual quality using recently reported quality measures based on structural similarity. Moreover, we investigate whether these quality measures apply to tomographic slices as well. Our results indicate that the reliability of the quality measures is more convincing for fused projection images as opposed to reconstructed slices. Additionally, it is shown that fusion algorithms developed for optical photography are also suitable for multi-exposure X-ray image fusion to increase perceptual quality.
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