Bayesian multi-exposure image fusion (MEF) is a general-purpose algorithm to achieve robust high dynamic range (HDR) imaging, particularly in scenarios with low signal-to-noise ratio (SNR) or variations in illumination intensity. This approach is especially crucial for high quality phase retrieval in coherent diffractive imaging (CDI). The algorithm, detailed in the [arXiv preprint](https://arxiv.org/abs/2403.11344), primarily focuses on its implementation and demonstrates the benefits in ptychography. To reproduce the results in the paper, see this [section](#reproducing-results). However, to get started, please install the package and check the demo usage below.
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