Robust patch-based hdr reconstruction of dynamic scenes

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Attention-Guided Network for Ghost-Free High Dynamic Range Imaging (2019, methodology): “[30] proposed a patch-based energy minimization approach that integrates alignment and HDR reconstruction in a joint optimization.”
Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach (2017, methodology): “So overall the MEF-SSIM results are reasonable.”
Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (2018, methodology): “To address this issue, stack-based HDR methods [14], [15] propose to merge bracketed multiple exposure images into an HDR irradiance map, then employ a tone mapping operator to compress the dynamic range of HDR irradiance map so that the high-contrast image can be displayed on regular monitors.”
High Dynamic Range Imaging (2015, background): “The HDR image reconstruction and deghosting can be handled in a single processing step as an optimization in which the optimal solution matches a reference exposure in the regions where it is well exposed, and in its poorly exposed regions local similarity to the remaining exposures is maximized by ”
Deep High Dynamic Range Imaging with Large Foreground Motions (2017, methodology): “We also tested our trained models on Sen’s dataset [23] and Tursun’s dataset [27,28].”
Deep high dynamic range imaging of dynamic scenes (2017, methodology): “Comparison against the patch-based methods of Sen et al. [2012]”